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7373f62633 Complete rewrite 2025-04-18 10:35:52 +02:00
fc4df87b24 Rework challenge definition 2025-04-17 22:34:31 +02:00
6b9edfc41a Review of "context" 2025-04-17 21:17:48 +02:00
ff5fcb46c4 First full rewrite 2025-04-17 19:02:12 +02:00
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@ -1670,45 +1670,29 @@ CLOSED: [2025-04-17 Thu 16:48]
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**** Accelerating electrons to produce intense X-ray
- Explain what is a Synchrotron:
- A particle (electrons) accelerator light source
- Electrons produce very bright light, called synchrotron light
- This very intense light, in the X-ray regime, is then used to study matter.
- There are around 70 Synchrotron light sources in the world
Some of the main ones are shown in Figure ref:fig:introduction_synchrotrons.
This shows how useful the produced light is for the scientific community.
Synchrotron radiation facilities, are particle accelerators where electrons are accelerated to near the speed of light.
As these electrons traverse magnetic fields, typically generated by insertion devices or bending magnets, they produce exceptionally bright light known as synchrotron light.
This intense electromagnetic radiation, particularly in the X-ray spectrum, is subsequently utilized for the detailed study of matter.
Approximately 70 synchrotron light sources are operational worldwide, some of which are indicated in Figure ref:fig:introduction_synchrotrons.
This global distribution of such facilities underscores the significant utility of synchrotron light for the scientific community.
#+name: fig:introduction_synchrotrons
#+caption: Major synchrotron radiation facilities in the world. 3rd generation Synchrotrons are shown in blue. Planned upgrades to 4th generation are shown in green, and 4th generation Synchrotrons in operation are shown in red.
#+attr_latex: :width \linewidth
[[file:figs/introduction_synchrotrons.png]]
There are two main parts in the Synchrotron:
- The accelerator where electrons are accelerated close to the speed of light
The generation of the synchrotron light is made by placing magnetic fields on the electron beam path.
These are called Insertion device or Bending magnet.
- The beamlines where the intense X-ray beam is used to study matter
These facilities fundamentally comprise two main parts: the accelerator complex, where electron acceleration and light generation occur, and the beamlines, where the intense X-ray beams are conditioned and directed for experimental use.
**** The European Synchrotron Radiation Facility
The European Synchrotron Radiation Facility (ESRF), shown in Figure ref:fig:introduction_esrf_picture, is a joint research institution supported by 19 member countries.
The ESRF commenced user operations in 1994 as the world's first third-generation synchrotron.
Its accelerator complex, schematically depicted in Figure ref:fig:introduction_esrf_schematic, includes a linear accelerator where electrons are initially generated and accelerated, a booster synchrotron to further accelerate the electrons, and an 844-meter circumference storage ring where electrons are maintained in a stable orbit.
European Synchrotron Radiation Facility (ESRF):
- Joint research facility situated in Grenoble, France
- supported by 19 countries
- Opened for user operation in 1994: World's first third generation synchrotron (i.e. integrating )
Accelerator (Schematically shown in Figure ref:fig:introduction_esrf_schematic):
- The Linear accelerator: where the electrons are
- Booster: electrons are accelerated closed to the speed of light
- Storage Ring: where the electrons are stored. Circumference of 844m.
Then, there are over 40 beamlines all around the storage ring:
- Large diversity in terms of instrumentation and science
- Science that can be performed: structural biology, structure of materials, matter at extreme, ...
Synchrotron light are emitted in more than 40 beamlines surrounding the storage ring, each having specialized experimental stations.
These beamlines host diverse instrumentation that enables a wide spectrum of scientific investigations, including structural biology, materials science, and study of matter under extreme conditions.
#+name: fig:instroduction_esrf
#+caption: Schematic (\subref{fig:introduction_esrf_schematic}) and picture (\subref{fig:introduction_esrf_picture}) of the European Synchrotron Radiation Facility
#+caption: Schematic (\subref{fig:introduction_esrf_schematic}) and picture (\subref{fig:introduction_esrf_picture}) of the European Synchrotron Radiation Facility, situated in Grenoble, France
#+attr_latex: :options [htbp]
#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_esrf_schematic} Schematic of the ESRF. The linear accelerator is shown in blue, the booster synchrotron in purple and the storage ring in green. There are over 40 beamlines, the ID31 beamline is highlighted in red}
@ -1725,36 +1709,29 @@ Then, there are over 40 beamlines all around the storage ring:
#+end_subfigure
#+end_figure
**** 3rd and 4th Generation Light Sources
In August 2020, following an extensive 20-month upgrade period, the ESRF inaugurated its Extremely Brilliant Source (EBS), establishing it as the world's premier fourth-generation synchrotron [[cite:&raimondi21_commis_hybrid_multib_achrom_lattic]].
This upgrade implemented a novel storage ring concept that substantially increases the brilliance and coherence of the X-ray beams.
ESRFEBS (Extremely Brilliant Source): [[cite:&raimondi21_commis_hybrid_multib_achrom_lattic]]
- In August 2020, after a 20-month shutdown, the ESRF is the first fourth-generation
- It uses a new storage ring concept that allows increased brilliance and coherence of the X-ray beams
The brilliance (also called brightness) is figure of merit for Synchrotron.
It corresponds to ...
100x increase with the EBS
- This new beam offers many new scientific opportunities, but also creates many engineering challenges.
Brilliance, a measure of the photon flux, is a key figure of merit for synchrotron facilities.
It experienced an approximate 100-fold increase with the implementation of EBS, as shown in the historical evolution depicted in Figure ref:fig:introduction_moore_law_brillance.
While this enhanced beam quality presents unprecedented scientific opportunities, it concurrently introduces considerable engineering challenges, particularly regarding experimental instrumentation and sample positioning systems.
#+name: fig:introduction_moore_law_brillance
#+caption: Evolution of the peak brilliance (expressed in $\text{photons}/s/mm^2/mrad^2/0.1\%BW$) of synchrotron radiation facilities. Note the vertical logarithmic scale.
#+attr_latex: :scale 0.9
[[file:figs/introduction_moore_law_brillance.png]]
** The ID31 ESRF Beamline
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**** Beamline Layout
# TODO - Make a short introduction to the beamline goal
Beamline "layout" refers to the series of elements located in between the "light source" and the sample.
- Each beamline start with a "white" beam, which is just generated by the insertion device (i.e. the "source").
This beam has very high power (typically above kW), and is typically not directly used on the sample.
- Instead, the beam goes through a series of optical elements (absorbers, mirrors, slits, monochromators, etc.) to filter and "shape" the x-ray beam as wanted.
These elements are located in several Optical Hutches as shown in Figure Figure ref:fig:introduction_id31_oh
- Then, there is the Experimental Hutch (Figure ref:fig:introduction_id31_cad).
For some experiments (that are especially of interest here), focusing optics are used.
The sample is located on the sample stage (also called "end-station"), as is used to position the sample with respect to the x-ray.
Detectors are used to capture the image formed by the x-ray going through the sample
- Explain the XYZ frame for all the thesis (ESRF convention: X: x-ray, Z gravity up)
Each beamline begins with a "white" beam generated by the insertion device.
This beam carries substantial power, typically exceeding kilowatts, and is generally unsuitable for direct application to samples.
Instead, the beam passes through a series of optical elements—including absorbers, mirrors, slits, and monochromators—that filter and shape the X-rays to the desired specifications.
These components are housed in multiple Optical Hutches, as depicted in Figure ref:fig:introduction_id31_oh.
#+name: fig:introduction_id31_oh
#+caption: Schematic of the two ID31 optical hutches: OH1 (\subref{fig:introduction_id31_oh1}) and OH2 (\subref{fig:introduction_id31_oh2}). Distance from the source (the insertion device) is indicated in meters.
@ -1776,22 +1753,15 @@ Beamline "layout" refers to the series of elements located in between the "light
#+end_subfigure
#+end_figure
Following the optical hutches, the conditioned beam enters the Experimental Hutch (Figure ref:fig:introduction_id31_cad), where, for experiments pertinent to this work, focusing optics are utilized.
The sample is mounted on a positioning stage, referred to as the "end-station", that enables precise alignment relative to the X-ray beam.
Detectors are used to capture the X-rays transmitted through or scattered by the sample.
Throughout this thesis, the standard ESRF coordinate system is adopted, wherein the X-axis aligns with the beam direction, Y is transverse horizontal, and Z is vertical upwards against gravity.
**** Positioning End Station: The Micro-Station
The end station on the ID31 beamline is called the "micro-station":
- It is composed of several stacked stages, shown in Figure ref:fig:introduction_micro_station_dof:
- A translation stage (blue)
- Tilt stage (red)
- Spindle (yellow) for continuous rotation
- Micro hexapod (purple)
- The sample (cyan), which can weight up to 50kg
Typically the samples are fixed inside a sample environment, to provide special environment: high pressure, low or high temperatures, high magnetic field, etc.
Presentation of the Micro-Station in details:
- Goal of each stage (e.g. micro-hexapod: static positioning, Ty and Rz: scans, ...)
- Stroke
- Initial design objectives: as stiff as possible, smallest errors as possible
The specific end-station employed on the ID31 beamline is designated the "micro-station".
As depicted in Figure ref:fig:introduction_micro_station_dof, it comprises a stack of positioning stages: a translation stage (in blue), a tilt stage (in red), a spindle for continuous rotation (in yellow), and a micro-hexapod (in purple).
The sample itself (cyan), potentially housed within complex sample environments (e.g., for high pressure or extreme temperatures), is mounted on top of this assembly.
Each stage serves distinct positioning functions; for example, the micro-hexapod enables fine static adjustments, while the $T_y$ translation and $R_z$ rotation stages are utilized for specific scanning applications.
#+name: fig:introduction_micro_station
#+caption: CAD view of the ID31 Experimal Hutch (\subref{fig:introduction_id31_cad}). There are typically four main elements: the focusing optics in yellow, the sample stage in green, the sample itself in purple and the detector in blue. All these elements are fixed to the same granite. CAD view of the The micro-station with the associated degrees of freedom (\subref{fig:introduction_micro_station_dof}).
@ -1800,41 +1770,30 @@ Presentation of the Micro-Station in details:
#+attr_latex: :caption \subcaption{\label{fig:introduction_id31_cad} Experimental Hutch}
#+attr_latex: :options {0.52\textwidth}
#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
#+attr_latex: :height 5cm
[[file:figs/introduction_id31_station_detector.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_micro_station_dof} Micro-Station}
#+attr_latex: :options {0.44\textwidth}
#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
#+attr_latex: :height 5cm
[[file:figs/introduction_micro_station_dof.png]]
#+end_subfigure
#+end_figure
**** Example of Scientific experiments performed on ID31
The "stacked-stages" configuration of the micro-station provides high mobility, enabling diverse scientific experiments and imaging techniques.
Two illustrative examples are provided.
Such end station, being composed of several stacked stages, has an high mobility and allow for various scientific experiments (i.e. imaging techniques).
Tomography experiments, schematically represented in Figure ref:fig:introduction_tomography_schematic, involve placing a sample in the X-ray beam path while controlling its vertical rotation angle using a dedicated stage.
Detector images are captured at numerous rotation angles, allowing the reconstruction of three-dimensional sample structure (Figure ref:fig:introduction_tomography_results) [[cite:&schoeppler17_shapin_highl_regul_glass_archit]].
This reconstruction depends critically on maintaining the sample's point of interest within the beam throughout the rotation process.
Two examples are here given to showcase the possibility offers by
Tomography experiment:
- Experimental setup illustrated in Figure ref:fig:introduction_tomography_schematic.
- A sample is place on the X-ray beam, and its vertical angle is controlled using a rotation stage.
- The detector images are captures for many different rotation angles.
- A 3D image of the sample, such as the one shown in Figure ref:fig:introduction_tomography_results (taken from [[cite:&schoeppler17_shapin_highl_regul_glass_archit]]), can then be reconstructed if the sample's point of interest stays on the beam while it is being rotated.
Mapping/Scanning experiments:
- Experimental setup illustrated in Figure ref:fig:introduction_scanning_schematic
- Optics are used to focus the X-ray beam on the sample.
- Then, the sample is moved perpendicularly to the beam (i.e. in the Y and Z directions)
- Example of obtained imagine in Figure ref:fig:introduction_scanning_results, the position of the sample is scanned with 20nm step increments [[cite:&sanchez-cano17_synch_x_ray_fluor_nanop]]
- The quality/accuracy of the obtained image is directly linked to the beam size and the positioning accuracy of the sample with respect to the focused X-ray beam.
Any vibrations and drifts would blur and deforms the obtained image.
Other imaging techniques used on ID31 include reflectivity, diffraction tomography, small and wide angle X-ray scattering.
Mapping or scanning experiments, depicted in Figure ref:fig:introduction_scanning_schematic, typically utilize focusing optics to have a small beam size at the sample's location.
The sample is then translated perpendicular to the beam (along Y and Z axes), while data is collected at each position.
An example [[cite:&sanchez-cano17_synch_x_ray_fluor_nanop]] of a resulting two-dimensional map, acquired with 20nm step increments, is shown in Figure ref:fig:introduction_scanning_results.
The fidelity and resolution of such images are intrinsically linked to the focused beam size and the positioning precision of the sample relative to the focused beam.
Positional instabilities, such as vibrations and thermal drifts, inevitably lead to blurring and distortion in the obtained image.
Other advanced imaging modalities practiced on ID31 include reflectivity, diffraction tomography, and small/wide-angle X-ray scattering (SAXS/WAXS).
#+name: fig:introduction_tomography
#+caption: Exemple of a tomography experiment. The sample is rotated and images are taken at several angles (\subref{fig:introduction_tomography_schematic}). Example of one 3D image obtained after tomography (\subref{fig:introduction_tomography_results}).
@ -1876,11 +1835,9 @@ Other imaging techniques used on ID31 include reflectivity, diffraction tomograp
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**** A push towards brighter and smaller beams
Thanks to the improvement of both the light source and the instrumentation, smaller and more stable beams are available.
First, the EBS upgrade allowed for a smaller source (especially in the horizontal direction) as illustrated in Figure ref:fig:introduction_beam_3rd_4th_gen.
Continuous advancements in both synchrotron source technology and X-ray optics have led to the availability of smaller, more intense, and more stable X-ray beams.
The ESRF-EBS upgrade, for instance, resulted in a significantly reduced source size, particularly in the horizontal dimension, coupled with increased brilliance, as illustrated in Figure ref:fig:introduction_beam_3rd_4th_gen.
#+name: fig:introduction_beam_3rd_4th_gen
#+caption: View of the ESRF X-ray beam before the EBS upgrade (\subref{fig:introduction_beam_3rd_gen}) and after the EBS upgrade (\subref{fig:introduction_beam_4th_gen}). The brilliance is increased, whereas the horizontal size and emittance are reduced.
@ -1900,31 +1857,21 @@ First, the EBS upgrade allowed for a smaller source (especially in the horizonta
#+end_subfigure
#+end_figure
- At the start of the ESRF, spot sizes for micro-focusing were in the order to $10\,\mu m$ [[cite:&riekel89_microf_works_at_esrf]].
- Since then, lots of developments were perform to decrease the spot size, whether using Zone plates, Mirrors or Refractive lenses [[cite:&barrett16_reflec_optic_hard_x_ray]].
- Each with their advantages and drawbacks.
- Such evolution is illustrated in Figure ref:fig:introduction_moore_law_focus
- Today, spot size in the order of 10 to 20nm FWHM are common for specialized nano-focusing beamline.
Concurrently, substantial progress has been made in micro- and nano-focusing optics since the early days of ESRF, where typical spot sizes were on the order of $10\,\mu m$ [[cite:&riekel89_microf_works_at_esrf]].
Various technologies, including zone plates, Kirkpatrick-Baez mirrors, and compound refractive lenses, have been developed and refined, each presenting unique advantages and limitations [[cite:&barrett16_reflec_optic_hard_x_ray]].
The historical reduction in achievable spot sizes is represented in Figure ref:fig:introduction_moore_law_focus.
Presently, focused beam dimensions in the range of 10 to 20 nm (Full Width at Half Maximum, FWHM) are routinely achieved on specialized nano-focusing beamlines.
#+name: fig:introduction_moore_law_focus
#+caption: Evolution of the measured spot size for different hard x-ray focusing elements. CRL, KB, FZP, MLL. Adapated from\nbsp{}[[cite:&barrett24_x_optic_accel_based_light_sourc]]
#+attr_latex: :scale 0.9
[[file:figs/introduction_moore_law_focus.png]]
**** New Dynamical Positioning Needs
- Higher brilliance / flux density => "Radiation damage".
- This is especially true for high energy beamlines such as ID31.
- This means that the focused beam should not be kept on the sample for long period of time with the risk of damaging the sample.
Two solutions:
- Traditional way of performing experiments, illustrated in Figure ref:fig:introduction_scan_step.
The sample is positioned as wanted, the detector acquisition (i.e. "photon integration") starts, and then a beam shutter is opened for a short period of time to avoid radiation damage.
Then it goes to the next position, and this process is repeated.
This process can takes of lot of time when high resolution is wanted.
- An alternative is to perform what is called /fly-scan/ of /continuous-scan/, [[cite:&xu23_high_nsls_ii]].
This is illustrated in Figure ref:fig:introduction_scan_fly.
As the sample undergoes continuous movement, the detector is triggered either based on the measured position of the sample of based on the time elapsed since the start of the motion.
This allows to perform experiments much faster [[cite:&huang15_fly_scan_ptych]] (i.e. better use of the beam time), and have potentially smaller pixel size.
The increased brilliance introduces challenges related to radiation damage, particularly at high-energy beamlines like ID31.
Consequently, prolonged exposure of a single sample area to the focused beam must be avoided.
Traditionally, experiments were conducted in a "step-scan" mode, illustrated in Figure ref:fig:introduction_scan_step.
In this mode, the sample is moved to the desired position, the detector acquisition is initiated, and a beam shutter is opened for a brief, controlled duration to limit radiation damage before closing; this cycle is repeated for each measurement point.
While effective for mitigating radiation damage, this sequential process can be time-consuming, especially for high-resolution maps requiring numerous points.
#+name: fig:introduction_scan_mode
#+caption: Two acquisition modes. In step-by-step mode (\subref{fig:introduction_scan_step}), the motor moves at the wanted imaged position, the detector acquisition is started, the shutter is openned briefly to have the wanted exposition, the detector acquisition is stopped, and the motor can move to a new position. In /fly-scan/ mode (\subref{fig:introduction_scan_fly}), the shutter is openned while the sample is in motion, and the detector is acquired only at the wanted positions, on the /fly/.
@ -1933,57 +1880,43 @@ Two solutions:
#+attr_latex: :caption \subcaption{\label{fig:introduction_scan_step} Step by step scan}
#+attr_latex: :options {0.55\textwidth}
#+begin_subfigure
#+attr_latex: :height 6cm
#+attr_latex: :height 5.5cm
[[file:figs/introduction_scan_step.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_scan_fly} Fly scan}
#+attr_latex: :options {0.44\textwidth}
#+begin_subfigure
#+attr_latex: :height 6cm
#+attr_latex: :height 5.5cm
[[file:figs/introduction_scan_fly.png]]
#+end_subfigure
#+end_figure
An alternative, more efficient approach is the "fly-scan" or "continuous-scan" methodology [[cite:&xu23_high_nsls_ii]], depicted in Figure ref:fig:introduction_scan_fly.
Here, the sample is moved continuously while the detector is triggered to acquire data "on the fly" at predefined positions or time intervals.
This technique significantly accelerates data acquisition, enabling better utilization of valuable beamtime while potentially enabling finer spatial resolution [[cite:&huang15_fly_scan_ptych]].
Recent detector developments:
- Better spatial resolution, lower noise and higher frame rates [[cite:&hatsui15_x_ray_imagin_detec_synch_xfel_sourc]].
- For typical scanning/tomography experiments: the detector integration time was in the order to 0.1s to 1s
- This long integration time (i.e. averaging) effectively "filters" out high frequency vibration in the beam position or of the sample's position, resulting in a apparent stable beam (but having bigger apparent size)
- With higher x-ray beam flux and lower noise in the detector, the integration time can be reduced.
Typical integration time can be in the over of 1ms, with frame rate in the order of 100Hz or more.
Recent developments in detector technology have yielded sensors with improved spatial resolution, lower noise characteristics, and substantially higher frame rates [[cite:&hatsui15_x_ray_imagin_detec_synch_xfel_sourc]].
Historically, detector integration times for scanning and tomography experiments were in the range of 0.1 to 1 second.
This extended integration effectively filtered high-frequency vibrations in beam or sample position, resulting in apparently stable but larger beam.
This has two main implications related to positioning requirements:
- First: need for faster scans. For a same "pixel size", having an integration time reduced means that the scanning velocity is increased by the same amount.
- Second: the measurement is more sensitive to high frequency vibration.
This means that there is a need to control the position up to higher frequency, typically in the kHz range.
When performing dynamic error budgeting, the vibration needs to be integrated up to higher frequencies.
Not only the sample position need to be stable (i.e. free of drifts) with respect to the x-ray beam, it also need to be vibration-less
Combined with /fly-scan/ mode, this means that the position needs to be well controlled, even during scans.
With higher X-ray flux and reduced detector noise, integration times can now be shortened to approximately 1 millisecond, with frame rates exceeding 100 Hz.
This reduction in integration time has two major implications for positioning requirements.
Firstly, for a given spatial sampling ("pixel size"), faster integration necessitates proportionally higher scanning velocities.
Secondly, the shorter integration times make the measurements more susceptible to high-frequency vibrations.
Therefore, not only must the sample position be stable against long-term drifts, but it must also be actively controlled to minimize vibrations, especially during dynamic fly-scan acquisitions.
** Existing Nano Positioning End-Stations
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**** Introduction :ignore:
In order to highlight the specificity of the developed system:
- Options to tackle the need of higher accuracy and better dynamical characteristics of end-station is briefly discussed.
- The goal is to extract specific characteristics of the developed system that puts it apart from currently developed end-station.
To contextualize the system developed within this thesis, a brief overview of existing strategies and technologies for high-accuracy, high-dynamics end-stations is provided.
The aim is to identify the specific characteristics that distinguish the proposed system from current state-of-the-art implementations.
**** End-Station with Stacked Stages
Distinction between serial and parallel kinematics: Example of an end-station with 3DoF (Dx, Dy, Rz): Figure ref:fig:introduction_kinematics
- Stack stages (serial kinematics): Figure ref:fig:introduction_serial_kinematics
Each DoF is decoupled and positioned by only one actuator.
This usually lead to higher mobility.
But positioning errors / guiding errors of different stages are combined, and the overall positioning accuracy may be poor.
Similarly, the stiffness (i.e dynamical performances) of the overall end-station depends on the stiffness of the individual stages in all DoF, requiring extremely stiff stages.
When too many stages are stacked up, the overall stiffness is usually poor, and dynamical performances are not great.
- Parallel architecture: Figure ref:fig:introduction_parallel_kinematics
Motion induced by several actuator are combined to obtain the wanted DoF.
Theoretically, the controlled DoF are the same as the stacked stages architecture.
But in practice, motion are limited to very small strokes.
However, this has the advantage of having much higher stiffness, and therefore better dynamical performances.
Positioning systems can be broadly categorized based on their kinematic architecture, typically serial or parallel, as exemplified by the 3-Degree-of-Freedom (DoF) platforms in Figure ref:fig:introduction_kinematics.
Serial kinematics (Figure ref:fig:introduction_serial_kinematics) utilizes stacked stages where each degree of freedom is controlled by a dedicated actuator.
This configuration offers great mobility, but positioning errors (e.g., guiding inaccuracies, thermal expansion) accumulate through the stack, compromising overall accuracy.
Similarly, the overall dynamic performance (stiffness, resonant frequencies) is limited by the softest component in the stack, often resulting in poor dynamic behavior when many stages are combined.
#+name: fig:introduction_kinematics
#+caption: Two positioning platforms with $D_x/D_y/R_z$ degrees of freedom. One is using serial kinematics (\subref{fig:introduction_serial_kinematics}), while the other uses parallel kinematics (\subref{fig:introduction_parallel_kinematics})
@ -1992,177 +1925,126 @@ Distinction between serial and parallel kinematics: Example of an end-station wi
#+attr_latex: :caption \subcaption{\label{fig:introduction_serial_kinematics} Serial Kinematics}
#+attr_latex: :options {0.49\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
#+attr_latex: :scale 0.9
[[file:figs/introduction_serial_kinematics.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_parallel_kinematics} Parallel Kinematics}
#+attr_latex: :options {0.49\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
#+attr_latex: :scale 0.9
[[file:figs/introduction_parallel_kinematics.png]]
#+end_subfigure
#+end_figure
Most of end-station, because of the wanted high mobility, are composed of stacked stages.
In such case, their positioning performance solely depends on the accuracy of each of the individual stages.
Conversely, parallel kinematic architectures (Figure ref:fig:introduction_parallel_kinematics) involve the coordinated motion of multiple actuators to achieve the desired end-effector motion.
While theoretically offering the same controlled degrees of freedom as stacked stages, parallel systems generally provide limited stroke but significantly enhanced stiffness and superior dynamic performance.
To have acceptable performance / stability:
- A limited number of high performances stages, such as air bearing spindles, are used [[cite:&riekel10_progr_micro_nano_diffr_at]]
- Extremely stable hutch temperature, while wanted stability usually reached only after several days without intervention in the hutch [[cite:&leake19_nanod_beaml_id01]]
Two examples of such end-stations are shown in Figure ref:fig:introduction_passive_stations.
- ID16b [[cite:&martinez-criado16_id16b]]: uses a limited number of stacked stages, and uses extremely accurate air bearing spindle for tomography experiments
- ID11 [[cite:&wright20_new_oppor_at_mater_scien]]: Spindle, XYZ stage for scanning purposes and small hexapod used for pre-positioning
But when many degrees of freedom are wanted, the overall accuracy and stability usually does not allow (or maybe is making working with nano-focused beam very difficult) for experiments with a nano-beam.
Most end stations, particularly those requiring extensive mobility, employ stacked stages.
Their positioning performance consequently depends entirely on the accuracy of individual components.
Strategies include employing a limited number of high-performance stages, such as air-bearing spindles [[cite:&riekel10_progr_micro_nano_diffr_at]], and maintaining extremely stable thermal environments within the experimental hutch, often requiring extended stabilization times [[cite:&leake19_nanod_beaml_id01]].
Examples of such end-stations, including those at beamlines ID16B [[cite:&martinez-criado16_id16b]] and ID11 [[cite:&wright20_new_oppor_at_mater_scien]], are shown in Figure ref:fig:introduction_passive_stations.
However, when a large number of DoFs are required, the cumulative errors and limited dynamic stiffness of stacked configurations can make experiments with nano-focused beams extremely challenging or infeasible.
#+name: fig:introduction_passive_stations
#+caption: Example of two nano end-stations without online metrology: (\subref{fig:introduction_endstation_id16b}) [[cite:&martinez-criado16_id16b]] and (\subref{fig:introduction_endstation_id11}) [[cite:&wright20_new_oppor_at_mater_scien]]
#+attr_latex: :options [htbp]
#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_endstation_id16b}ID16b}
#+attr_latex: :caption \subcaption{\label{fig:introduction_endstation_id16b}ID16b end-station}
#+attr_latex: :options {0.49\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
#+attr_latex: :scale 0.9
[[file:figs/introduction_endstation_id16b.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_endstation_id11}ID11}
#+attr_latex: :caption \subcaption{\label{fig:introduction_endstation_id11}ID11 end-station}
#+attr_latex: :options {0.49\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
#+attr_latex: :scale 0.9
[[file:figs/introduction_endstation_id11.png]]
#+end_subfigure
#+end_figure
**** Online Metrology
The concept of using an external metrology to measure and potentially correct for positioning errors is increasing used for nano-positioning end-stations.
Ideally, the relative position between the sample's point of interest and the X-ray beam focus would be measured directly.
In practice, direct measurement is often impossible; instead, the sample position is typically measured relative to a reference frame associated with the focusing optics, providing an indirect measurement.
The idea of having an external metrology to correct for errors is not new.
This measured position can be utilized in several ways: for post-processing correction of acquired data; for calibration routines to compensate for repeatable errors; or, most relevantly here, for real-time feedback control.
Various sensor technologies have been employed, with capacitive sensors [[cite:&schroer17_ptynam;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&schropp20_ptynam]] and, increasingly, fiber-based interferometers [[cite:&nazaretski15_pushin_limit;&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&engblom18_nanop_resul;&schropp20_ptynam;&nazaretski22_new_kirkp_baez_based_scann;&kelly22_delta_robot_long_travel_nano;&xu23_high_nsls_ii;&geraldes23_sapot_carnaub_sirius_lnls]] being prominent choices.
Ideally, the relative position between the sample and the x-ray beam is measured.
In practice, it is not possible, but instead the position of the sample is measured with respect to the focusing optics and/or slits, providing an indirect measurement.
Several strategies:
- Used for know the relative position of the sample with respect to the x-ray beam.
Used during the post processing of the obtained data
- For calibration purposes. In that way repeatable errors can be compensated.
- For real time positioning control
For some applications, it is not only important to know the relative position of the sample with respect to the X-ray, but it is equality important to precisely control this position.
For instance, in order to keep a nano-particle on the beam while a tomography experiment is performed.
Several Sensors have been used, but mainly two types:
- Capacitive: [[cite:&schroer17_ptynam;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&schropp20_ptynam]]
- Fiber Interferometers Interferometers: more and more used
- Attocube FPS3010 Fabry-Pérot interferometers: [[cite:&nazaretski15_pushin_limit;&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&engblom18_nanop_resul;&nazaretski22_new_kirkp_baez_based_scann]]
- Attocube IDS3010 Fabry-Pérot interferometers: [[cite:&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&kelly22_delta_robot_long_travel_nano]]
- PicoScale SmarAct Michelson interferometers: [[cite:&schroer17_ptynam;&schropp20_ptynam;&xu23_high_nsls_ii;&geraldes23_sapot_carnaub_sirius_lnls]]
Two examples are shown in Figure ref:fig:introduction_metrology_stations, in which metrology systems are used ot monitor the sample's position:
- Figure ref:fig:introduction_stages_wang: X8C beamline at National Synchrotron Light Source (NSLS). Capacitive sensors are used to calibrate the errors of the rotation stage, and are used during the alignment of different images captures during a tomography experiment [[cite:&wang12_autom_marker_full_field_hard]].
- Figure ref:fig:introduction_stages_schroer: PtiNAMi microscope at P06 beamline at DESY. Three interferometers are pointed at a ball lens (1cm in diameter) located just below the sample. The spheres allows the sample to be rotated to perform tomography experiments.
Interferometers were reported to be used for monitoring, and is planned to be further used in a feedback loop with the piezoelectric stage located just below the sample [[cite:&schropp20_ptynam]].
Two examples illustrating the integration of online metrology are presented in Figure ref:fig:introduction_metrology_stations.
The system at NSLS X8C (Figure ref:fig:introduction_stages_wang) utilized capacitive sensors for rotation stage calibration and image alignment during tomography post-processing [[cite:&wang12_autom_marker_full_field_hard]].
The PtiNAMi microscope at DESY P06 (Figure ref:fig:introduction_stages_schroer) employs interferometers directed at a spherical target below the sample for position monitoring during tomography, with plans for future feedback loop implementation [[cite:&schropp20_ptynam]].
#+name: fig:introduction_metrology_stations
#+caption: Two examples of end-station with integrated online metrology. (\subref{fig:introduction_stages_wang}) [[cite:&wang12_autom_marker_full_field_hard]] and (\subref{fig:introduction_stages_schroer}) [[cite:&schroer17_ptynam]]
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#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_stages_wang} Wang}
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[[file:figs/introduction_stages_wang.png]]
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#+attr_latex: :caption \subcaption{\label{fig:introduction_stages_schroer} Schroer}
#+attr_latex: :options {0.49\textwidth}
#+attr_latex: :options {0.48\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
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[[file:figs/introduction_stages_schroer.png]]
#+end_subfigure
#+end_figure
**** Active Control of Positioning Errors
For applications requiring active compensation of measured errors, particularly with nano-beams, feedback control loops are implemented.
Actuation is typically achieved using piezoelectric actuators [[cite:&nazaretski15_pushin_limit;&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&nazaretski22_new_kirkp_baez_based_scann]], 3-phase linear motors [[cite:&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&engblom18_nanop_resul]], or voice coil actuators [[cite:&kelly22_delta_robot_long_travel_nano;&geraldes23_sapot_carnaub_sirius_lnls]].
While often omitted, feedback bandwidth for such stages are relatively low (around 1 Hz), primarily targeting the compensation of slow thermal drifts.
More recently, higher bandwidths (up to 100 Hz) have been demonstrated, particularly with the use of voice coil actuators [[cite:&kelly22_delta_robot_long_travel_nano;&geraldes23_sapot_carnaub_sirius_lnls]].
For some applications (especially when using a nano-beam), the sample's position has not only to be measured, but to be controlled using feedback loops.
In that case, mainly three actuator types are used:
- Piezoelectric: [[cite:&nazaretski15_pushin_limit;&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&nazaretski22_new_kirkp_baez_based_scann]]
- 3-phase linear motor: [[cite:&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&engblom18_nanop_resul]]
- Voice Coil: [[cite:&kelly22_delta_robot_long_travel_nano;&geraldes23_sapot_carnaub_sirius_lnls]]
In the literature, the feedback bandwidth for such end-station is rarely specificity.
It is usually slow (in the order of 1Hz), so that only (thermal) drifts are compensated.
Only recently, high bandwidth (100Hz) have been reported with the use of voice coil actuators [[cite:&kelly22_delta_robot_long_travel_nano;&geraldes23_sapot_carnaub_sirius_lnls]].
Two examples of end-station integrating online-metrology and feedback loops are shown in Figure ref:fig:introduction_active_stations:
- Figure ref:fig:introduction_stages_villar: ID16a beamline at ESRF (short stroke) Piezoelectric hexapod, rotation stage, Online metrology using many capacitive sensors.
The feedback loop (between the capacitive sensors and the piezoelectric hexapod) is used to compensate for errors of the rotation stage, and also to perform accurate scans with the hexapod.
- Figure ref:fig:introduction_stages_nazaretski: interferometers are used to measure the position of the sample. multi-layer Laue lenses (MLLs) are used to focus the beam down
Feedback control is used to compensate for drifts of the positioning stages.
More extensive review of end-station with feedback loops based on online metrology will be given in section [...].
# TODO - Add section to the review of stages with active vibration control ref:sec:nhexa_platform_review
Figure ref:fig:introduction_active_stations showcases two end-stations incorporating online metrology and active feedback control.
The ID16A system at ESRF (Figure ref:fig:introduction_stages_villar) uses capacitive sensors and a piezoelectric hexapod to compensate for rotation stage errors and to perform accurate scans [[cite:&villar18_nanop_esrf_id16a_nano_imagin_beaml]].
Another example, shown in Figure ref:fig:introduction_stages_nazaretski, employs interferometers and piezoelectric stages to compensate for thermal drifts [[cite:&nazaretski15_pushin_limit;&nazaretski17_desig_perfor_x_ray_scann]].
A more comprehensive review of actively controlled end-stations is provided in Section ref:sec:nhexa_platform_review.
#+name: fig:introduction_active_stations
#+caption: Example of two end-stations with real-time position feedback based on an online metrology. (\subref{fig:introduction_stages_villar}) [[cite:&villar18_nanop_esrf_id16a_nano_imagin_beaml]]. (\subref{fig:introduction_stages_nazaretski}) [[cite:&nazaretski17_desig_perfor_x_ray_scann;&nazaretski15_pushin_limit]]
#+attr_latex: :options [htbp]
#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_stages_villar} ID16a. =KB= is the focusing optics, =S= the sample, =C= the capacitive sensors and =LM= is the light microscope}
#+attr_latex: :options {0.49\textwidth}
#+attr_latex: :caption \subcaption{\label{fig:introduction_stages_villar} ID16a. KB is the focusing optics, S the sample, C the capacitive sensors and LM is the light microscope}
#+attr_latex: :options {0.48\textwidth}
#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
[[file:figs/introduction_stages_villar.jpg]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_stages_nazaretski} 1 and 2 are stage to position the focusing optics. 3 is the sample location, 4 the sample stage and 5 the interferometers}
#+attr_latex: :options {0.49\textwidth}
#+attr_latex: :options {0.48\textwidth}
#+begin_subfigure
#+attr_latex: :scale 1
#+attr_latex: :scale 0.9
[[file:figs/introduction_stages_nazaretski.png]]
#+end_subfigure
#+end_figure
For tomography experiments, correcting for guiding errors of the rotation stage is of primary concern.
Two approaches can be used:
- Having the stage used for correcting the errors below the Spindle. [[cite:&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&engblom18_nanop_resul;&nazaretski22_new_kirkp_baez_based_scann;&xu23_high_nsls_ii]]
- Having the stage correcting the errors above the Spindle: [[cite:&wang12_autom_marker_full_field_hard;&schroer17_ptynam;&schropp20_ptynam;&geraldes23_sapot_carnaub_sirius_lnls]]
In all these cases, only XYZ stages are used to compensate for the guiding errors of the spindle.
For tomography experiments, correcting spindle guiding errors is critical.
Correction stages are typically placed either below the spindle [[cite:&stankevic17_inter_charac_rotat_stages_x_ray_nanot;&holler17_omny_pin_versat_sampl_holder;&holler18_omny_tomog_nano_cryo_stage;&villar18_nanop_esrf_id16a_nano_imagin_beaml;&engblom18_nanop_resul;&nazaretski22_new_kirkp_baez_based_scann;&xu23_high_nsls_ii]] or above it [[cite:&wang12_autom_marker_full_field_hard;&schroer17_ptynam;&schropp20_ptynam;&geraldes23_sapot_carnaub_sirius_lnls]].
In most reported cases, only translation errors are actively corrected.
Payload capacities for these high-precision systems are usually limited, typically handling calibrated samples on the micron scale, although capacities up to 500g have been reported [[cite:&nazaretski22_new_kirkp_baez_based_scann;&kelly22_delta_robot_long_travel_nano]].
The system developed in this thesis aims for payload capabilities approximately 100 times heavier (up to 50 kg) than previous stations with similar positioning requirements.
# Only for mapping: [[cite:&nazaretski15_pushin_limit;&kelly22_delta_robot_long_travel_nano]]
In terms of payload capabilities:
- All are only supported calibrated, micron scale samples
- Higher sample masses to up to 500g have been reported in [[cite:&nazaretski22_new_kirkp_baez_based_scann;&kelly22_delta_robot_long_travel_nano]]
100 times heavier payload capabilities than previous stations with similar performances.
**** Long Stroke - Short Stroke architecture
As shown in the previous examples, end-stations integrating online-metrology for nano-positioning are typically limited to only few degrees of freedom with only short stroke capabilities (in the order of $100\,\mu m$).
An other strategy, illustrated in Figure ref:fig:introduction_two_stage_schematic, is to use two stacked stages for a single DoF:
- A long stroke, with limited accuracy is combined with short stroke stage with good dynamical properties.
The short stroke stage is used to position the sample based on the metrology measurement, while the long stroke is performing large motion.
Such strategy is typically limited to few degrees of freedom:
- 1DoF as shown in Figure ref:fig:introduction_two_stage_control_example
- 3DoF as shown in Figure ref:fig:introduction_two_stage_control_h_bridge
With such strategy, it is possible to obtain an overall stage with long stroke capability and with good accuracy and dynamical properties (brought by the short stroke stage).
#+name: fig:introduction_two_stage_schematic
#+caption: Typical Long Stroke - Short Stroke architecture. The long stroke stage is ...
[[file:figs/introduction_two_stage_schematic.png]]
End-stations integrating online metrology for active nano-positioning often exhibit limited operational ranges, typically constrained to a few degrees of freedom with strokes around $100\,\mu m$.
Recently, voice coil actuators were used to increase the stroke up to $3\,\text{mm}$ [[cite:&kelly22_delta_robot_long_travel_nano;&geraldes23_sapot_carnaub_sirius_lnls]]
An alternative strategy involves a "long stroke-short stroke" architecture, illustrated conceptually in Figure ref:fig:introduction_two_stage_schematic.
In this configuration, a high-accuracy, high-bandwidth short-stroke stage is mounted on top of a less precise long-stroke stage.
The short-stroke stage actively compensates for errors based on metrology feedback, while the long-stroke stage performs the larger movements.
This approach allows combining extended travel with high precision and good dynamical response, but is often implemented for only one or a few DoFs, as seen in Figures ref:fig:introduction_two_stage_schematic and ref:fig:introduction_two_stage_control_h_bridge.
#+name: fig:introduction_two_stage_example
#+caption: (\subref{fig:introduction_two_stage_control_example}) [[cite:&shinno11_newly_devel_long_range_posit]], (\subref{fig:introduction_two_stage_control_h_bridge}) [[cite:&schmidt20_desig_high_perfor_mechat_third_revis_edition]]
#+caption: (\subref{fig:introduction_two_stage_schematic}), (\subref{fig:introduction_two_stage_control_h_bridge}) [[cite:&schmidt20_desig_high_perfor_mechat_third_revis_edition]] $y_1$, $y_2$ and $x$ are 3-phase linear motors. Short stroke actuators are voice coils.
#+attr_latex: :options [htbp]
#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_two_stage_control_example} Two stage control with classical stage and voice coil}
#+attr_latex: :options {0.59\textwidth}
#+attr_latex: :caption \subcaption{\label{fig:introduction_two_stage_schematic} Typical Long Stroke - Short Stroke control architecture}
#+attr_latex: :options {0.64\textwidth}
#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
[[file:figs/introduction_two_stage_control_example.png]]
[[file:figs/introduction_two_stage_schematic.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_two_stage_control_h_bridge} H-bridge. $y_1$, $y_2$ and $x$ are 3-phase linear motors. Short stroke actuators are voice coils.}
#+attr_latex: :options {0.39\textwidth}
#+attr_latex: :caption \subcaption{\label{fig:introduction_two_stage_control_h_bridge} H-bridge}
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#+begin_subfigure
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[[file:figs/introduction_two_stage_control_h_bridge.png]]
@ -2172,47 +2054,25 @@ With such strategy, it is possible to obtain an overall stage with long stroke c
* Challenge definition
**** Introduction :ignore:
Based on the positioning requirements brought by the 4th light sources, improved focusing optics and development in detector technology, there are several challenges that need to be addressed.
The advent of fourth-generation light sources, coupled with advancements in focusing optics and detector technology, imposes stringent new requirements on sample positioning systems.
With ID31's anticipated minimum beam dimensions of approximately $200\,\text{nm}\times 100\,\text{nm}$, the primary experimental objective is maintaining the sample's point of interest within this beam.
This necessitates peak-to-peak positioning errors below $200\,\text{nm}$ in $D_y$ and $200\,\text{nm}$ in $D_z$, corresponding to RMS errors of $30\,\text{nm}$ and $15\,\text{nm}$, respectively.
Additionally, the $R_y$ tilt angle error must remain below $0.1\,\text{mdeg}$ ($250\,\text{nrad RMS}$).
Given the high frame rates of modern detectors, these specified positioning errors must be maintained even when considering high-frequency vibrations.
Smallest beam-size foreseen to be used on ID31 is around 200nm x 100nm
- During the experiments, the goal is therefore to keep to point of interest of the sample on the beam
- Therefore, the peak to peak positioning errors should be below 200nm in Dy and 100nm in Dz
- RMS errors (/ by 6.6) gives 30nmRMS in Dy and 15nmRMS in Dz.
- Also the tilt angle Ry error should be below <1.7urad, 250nrad RMS
These demanding stability requirements must be achieved within the specific context of the ID31 beamline, which necessitates the integration with the existing micro-station, accommodating a wide range of experimental configurations requiring high mobility, and handling substantial payloads up to 50 kg.
The existing micro-station, despite being composed of high-performance stages, exhibits positioning accuracy limited to approximately $10\,\mu m$ and $10\,\mu\text{rad}$ due to inherent factors such as backlash, mechanical play, thermal expansion, imperfect guiding, and vibrations.
As high frame rate detectors can be used, the specified position errors of the sample should hold even when taking into account high frequency vibrations.
Combined with the specificity of ID31:
- Build on top of the existing micro-station
- High required mobility to be able to perform many different experiments
- Handle large payloads (up to 50kg)
The current micro-station, while being composed of high performance positioning stages, the positioning accuracy is still limited by several effects:
- Backlash, play, thermal expansion, guiding imperfections, ...
- Give some numbers: straightness of the Ty stage for instance, change of $0.1^oC$ with steel gives x nm of motion
- Vibrations
- Possibility to have linear/rotary encoders that correct the motion in the considered DoF, but does not change anything to the other 5DoF
Typically, the final position accuracy is around 10um and 10urad.
The goal of this project is therefore to increase the positioning accuracy of the micro-station to fully exploit the new beam and detectors.
The primary objective of this project is therefore defined as enhancing the positioning accuracy and stability of the ID31 micro-station by roughly two orders of magnitude, to fully leverage the capabilities offered by the ESRF-EBS source and modern detectors, without compromising its existing mobility and payload capacity.
**** The Nano Active Stabilization System Concept
In order to address the new positioning requirements, the concept of the Nano Active Stabilization System (further referred to as the "NASS") is proposed.
It is composed of mainly four elements (Figure ref:fig:introduction_nass_concept_schematic):
- The micro station (in yellow)
- A 5 degrees of freedom metrology system (in red)
- A 5 or 6 degrees of freedom stabilization platform (in blue)
- Control system and associated instrumentation (in purple)
It therefore corresponds to a 5 DoF vibration control platform on top of a complex positioning platform that correct positioning errors based on an external metrology.
That way, the goal is to improve the positioning accuracy of the micro-station from ~10um to less than 100nm, while keeping the same mobility and payload capabilities.
To address these challenges, the concept of a Nano Active Stabilization System (NASS) is proposed.
As schematically illustrated in Figure ref:fig:introduction_nass_concept_schematic, the NASS comprises four principal components integrated with the existing micro-station (yellow): a 5-DoF online metrology system (red), an active stabilization platform (blue), and the associated control system and instrumentation (purple).
This system essentially functions as a high-performance, multi-axis vibration isolation and error correction platform situated between the micro-station and the sample.
It actively compensates for positioning errors measured by the external metrology system.
#+name: fig:introduction_nass_concept_schematic
#+caption: The Nano Active Stabilization System concept
@ -2220,63 +2080,45 @@ That way, the goal is to improve the positioning accuracy of the micro-station f
**** Online Metrology system
As the position of the sample is actively controlled based on the measured position, the accuracy of the NASS depends on the accuracy of the metrology system.
Such metrology system should:
- Measure the sample's position along 5 DoF (only the rotation along the vertical axis is not measured)
- Ideally measure the position with respect to the focusing optics
- Long stroke, as the micro-station as high mobility, compatible with the spindle continuous rotation
- Have an accuracy compatible with the positioning requirements
- High bandwidth
Initial Concept:
- A spherical reflector with flat bottom is fixed just under the sample
- The center of the sphere coincide with the focused point of the X-ray
- Fiber interferometers are pointed both on spherical surface and on the bottom flat surface.
- A tracking system (tip-tilt mechanism) is used to keep the beam perpendicular to the mirror surface: Spherical mirror with center at the point of interest => No Abbe errors
In that case:
- XYZ positions can be measured from at least 3 interferometers pointing at the spherical surface
- Rx/Ry angles are measured from at least 3 interferometers pointing at the bottom flat surface
Such metrology system is a complex mechatronics system on its own.
This metrology system is not further discussed in this thesis as it is still under active development.
In the following of this thesis, it is supposed that the metrology system is accurate, and high bandwidth.
The performance of the NASS is fundamentally reliant on the accuracy and bandwidth of its online metrology system, as the active control is based directly on these measurements.
This metrology system must fulfill several criteria: measure the sample position in 5 DoF (excluding rotation about the vertical Z-axis); possess a measurement range compatible with the micro-station's extensive mobility and continuous spindle rotation; achieve an accuracy compatible with the sub-100 nm positioning target; and offer high bandwidth for real-time control.
#+name: fig:introduction_nass_metrology
#+caption: 2D representation of the NASS metrology system.
[[file:figs/introduction_nass_metrology.png]]
**** Active Stabilization Platform
A proposed concept (illustrated in Figure ref:fig:introduction_nass_metrology) features a spherical reflector with a flat bottom attached below the sample, with its center aligned to the X-ray focus.
Fiber interferometers target both surfaces.
A tracking system maintains perpendicularity between the interferometer beams and the mirror, such that Abbe errors are eliminated.
Interferometers pointing at the spherical surface provides translation measurement, while the ones pointing at the flat bottom surface yield tilt angles.
The development of this complex metrology system constitutes a significant mechatronic project in itself and is currently ongoing; it is not further detailed within this thesis.
For the work presented herein, the metrology system is assumed to provide accurate, high-bandwidth 5-DoF position measurements.
The Active stabilization platform, located in between the sample and the micro-station should:
- Be able to move the sample in 5 DoF (the vertical rotation is not controlled)
- Have good dynamical properties such that the sample's position can be controlled up to high frequency
- Be capable to control the position down to nanometers.
It should therefore be free of play, backlash.
Low level of vibration should be induced by the active parts of the platform (such as actuator noise).
- It should accept payloads up to 50kg.
**** Active Stabilization Platform Design
A good candidate for the active platform is the Stewart platform:
- Parallel architecture, capable of controlling the motion in 6DoF
- Very popular for positioning and vibration control applications
- Many different designs, in terms of geometry, actuators, sensors and control strategies
Figure ref:fig:introduction_stewart_platform_piezo
# TODO - Review of Stewart platform ref:sec:detail_kinematics_stewart_review
The active stabilization platform, positioned between the micro-station top plate and the sample, must satisfy several demanding requirements.
It needs to provide active motion compensation in 5 degrees of freedom ($D_x$, $D_y$, $D_z$, $R_x$ and $R_y$).
It must possess excellent dynamic properties to enable high-bandwidth control capable of suppressing vibrations and tracking desired trajectories with nanometer-level precision.
Consequently, it must be free from backlash and play, and its active components (e.g., actuators) should introduce minimal vibrations.
Critically, it must accommodate payloads up to 50 kg.
*Challenge*: Optimally designing such active platform
A suitable candidate architecture for this platform is the Stewart platform (also known as "hexapod"), a parallel kinematic mechanism capable of 6-DoF motion.
Stewart platforms are widely employed in positioning and vibration isolation applications due to their inherent stiffness and potential for high precision.
Various designs exist, differing in geometry, actuation technology, sensing methods, and control strategies, as exemplified in Figure ref:fig:introduction_stewart_platform_piezo.
A central challenge addressed in this thesis is the optimal mechatronic design of such an active platform tailored to the specific requirements of the NASS.
A more detailed review of Stewart platform and its main components will be given in Section ref:sec:detail_kinematics_stewart_review.
#+name: fig:introduction_stewart_platform_piezo
#+caption: Example of Stewart platforms. (\subref{fig:introduction_stewart_du14}) [[cite:&du14_piezo_actuat_high_precis_flexib]] and (\subref{fig:introduction_stewart_hauge04}) [[cite:&hauge04_sensor_contr_space_based_six]]
#+attr_latex: :options [htbp]
#+begin_figure
#+attr_latex: :caption \subcaption{\label{fig:introduction_stewart_du14}PZT based, for positioning purposes}
#+attr_latex: :caption \subcaption{\label{fig:introduction_stewart_du14}Piezo based, for positioning purposes}
#+attr_latex: :options {0.49\textwidth}
#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
[[file:figs/introduction_stewart_du14.png]]
#+end_subfigure
#+attr_latex: :caption \subcaption{\label{fig:introduction_stewart_hauge04}Voice coil based, Cubic architecture, for vibration isolation}
#+attr_latex: :caption \subcaption{\label{fig:introduction_stewart_hauge04}Voice coil based, for vibration isolation}
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#+begin_subfigure
#+attr_latex: :width 0.95\linewidth
@ -2284,214 +2126,127 @@ A good candidate for the active platform is the Stewart platform:
#+end_subfigure
#+end_figure
**** MIMO robust control strategies
**** Robust Control
The NASS also includes feedback control:
- from the measured position of the sample using the online metrology
- from the wanted position of the sample (based on the wanted motion of each of the micro-station stages)
- the active platform is controlled in real time to stabilize the sample's position, compensating for all the errors of the micro-station stages, thermal drifts, etc.
The control system must compute the position measurements from the online metrology system and computes the reference positions derived from each micro-station desired movement.
It then commands the active platform in real time to stabilize the sample and compensate for all error sources, including stage imperfections, thermal drifts, and vibrations.
Ensuring the stability and robustness of these feedback loops is crucial, especially within the demanding operational context of a synchrotron beamline, which requires reliable 24/7 operation with minimal intervention.
When feedback control is being used, attention should be made on the stability of the feedback loop.
This is especially important in the context of a beamline application, as the instrument should be able to 24/7 with minimum intervention.
That is why most of end-stations are based on well-proven design (stepper motors, linear guides, ball bearing, ...).
Several factors complicate the design of robust feedback control for the NASS.
First, the system must operate under across diverse experimental conditions, including different scan types (tomography, linear scans) and payloads' inertia.
The continuous rotation of the spindle introduces gyroscopic effects that can affect the system dynamics.
As actuators of the active platforms rotate relative to stationary sensors, the control kinematics to map the errors in the frame of the active platform is complex.
But perhaps the most significant challenge is the wide variation in payload mass (1 kg up to 50 kg) that the system must accommodate.
Designing for robustness against large payload variations typically necessitates larger stability margins, which can compromise achievable performance.
Consequently, high-performance positioning stages often work with well-characterized payload, as seen in systems like wafer-scanners or atomic force microscopes.
This need for robust feedback control is there made difficult due to:
- Many different configurations (tomography, Ty scans, slow fast, ...)
- Rotation aspect, gyroscopic effects, actuators are rotating with respect to the sensors
- The variety of payloads that will be used, with masses ranging from 1kg to 50kg.
Typically, high performance position feedback controllers are working with calibrated payloads (lithography machines, AFM, ...)
Being robust to change of payload inertia means larger stability margins and therefore less performance.
- For most of end-stations, the top stages (for small stroke scans) as well as the sample are quite light compared to the long stroke stages.
This way, the short stroke stage dynamics is not coupled to the dynamics of the stages bellow.
In the NASS case, the payload's mass may be one order of magnitude heavier than the mass of the long stroke top platform.
This induce a high coupling between the active platform and the micro-station.
This there may lead to a MIMO system with more complex dynamics and more coupling.
- This translates in change on the plant dynamics.
The feedback controller therefore need to be robust against plant uncertainty, while providing the wanted level of performance.
Furthermore, unlike many systems where the active stage and sample are significantly lighter than the underlying coarse stages, the NASS payload mass can be substantially greater than the mass of the micro-station's top stage.
This leads to strong dynamic coupling between the active platform and the micro-station structure, resulting in a more complex multi-inputs multi-outputs (MIMO) system with significant cross-talk between axes.
These variations in operating conditions and payload translate into significant uncertainty or changes in the plant dynamics that the controller must handle.
Therefore, the feedback controller must be designed to be robust against this plant uncertainty while still delivering the required nanometer-level performance.
**** Predictive Design / Mechatronics approach
- The performances of the system will depend on many factors:
- sensors
- actuators
- mechanical design
- achievable bandwidth
- Need to evaluate the different concepts, and predict the performances to guide the design
- The goal is to design, built and test this system such that it work as expected the first time.
Very costly system, so must be correct.
- *Challenge*:
- Proper design methodology
- Have accurate models to be able to compare different concepts
- Converge to a solution that gives the wanted level of performance
The overall performance achieved by the NASS is determined by numerous factors, such as external disturbances, the noise characteristics of the instrumentation, the dynamics resulting from the chosen mechanical architecture, and the achievable bandwidth dictated by the control architecture.
Ensuring the final system met its stringent specifications requires the implementation of a predictive design methodology, also known as a mechatronics design approach.
The goal is to rigorously evaluate different concepts, predict performance limitations, and guide the design process.
Key challenges within this approach include developing appropriate design methodologies, creating accurate models capable of comparing different concepts quantitatively, and converging on a final design that achieves the target performance levels.
* Original Contributions
**** Introduction :ignore:
# TODO - All the papers should be cited
In order to address the challenges associated with the development of the Nano Active Stabilization Systems, this thesis proposes several original contributions in the fields of Control, Mechatronics Design and Experimental validation.
This thesis presents several original contributions aimed at addressing the challenges inherent in the design, control, and implementation of the Nano Active Stabilization System, primarily within the fields of Control Theory, Mechatronics Design, and Experimental Validation.
**** 6DoF vibration control of a rotating platform
Long stroke / short stroke architectures are usually limited to 1DoF or 2DoF.
It is here extended to 6DoF.
The active platform will not only compensate for errors of the rotation stage, but also of all other stages.
To the author's knowledge, the use of a continuously rotating stewart platform for vibration control has not been proved in the literature.
Traditional long-stroke/short-stroke architectures typically operate in one or two degrees of freedom.
This work extends the concept to six degrees of freedom, with the active platform designed not only to correct rotational errors but to simultaneously compensate for errors originating from all underlying micro-station stages.
The application of a continuously rotating Stewart platform for active vibration control and error compensation in this manner is believed to be novel in the reviewed literature.
**** Mechatronics design approach
For the design of the NASS, a rigorous mechatronics design approach was conducted.
[[cite:&dehaeze18_sampl_stabil_for_tomog_exper;&dehaeze21_mechat_approac_devel_nano_activ_stabil_system]]
While not new, this approach is here applied from start to finish:
- From first concepts using basic models, to concept validation using mode accurate models
- Detailed design phase: models were used to optimize each individual components
- Experimental phase: models were still found to have great use.
For instance to better understand the observed behavior, and also to optimize the implemented control strategy.
The use of dynamical models were used all along the development.
This document, being written chronologically:
- Make clear how each models can be useful during different parts of the project
- Clearly show how each design decision are based on facts / clear conclusions extracted from the models
- While the developed system is quite specific for the presented application, it shows the effectiveness of this design approach
# TODO - Use passive voice
I hope this document can make a small contribution in the adoption of the mechatronics approach for the design of future end-station and synchrotron instrumentation.
A rigorous mechatronics design methodology was applied consistently throughout the NASS development lifecycle [[cite:&dehaeze18_sampl_stabil_for_tomog_exper;&dehaeze21_mechat_approac_devel_nano_activ_stabil_system]].
Although the mechatronics approach itself is not new, its comprehensive application here, from initial concept evaluation using simplified models to detailed design optimization and experimental validation informed by increasingly sophisticated models, potentially offers useful insights to the existing literature.
This thesis documents this process chronologically, illustrating how models of varying complexity can be effectively utilized at different project phases and how design decisions were systematically based on quantitative model predictions and analyses.
While the resulting system is highly specific, the documented effectiveness of this design approach may contribute to the broader adoption of mechatronics methodologies in the design of future synchrotron instrumentation.
**** Multi-body simulations with reduced order flexible bodies obtained by FEA
One of the key tool that were used
Combined multi-body / FEA techniques and experimental validation on a Stewart platform containing amplified piezoelectric actuators
Super-element of amplified piezoelectric actuator / combined multibody-FEA technique, experimental validation on an amplified piezoelectric actuator and further validated on a complete stewart platform
While not new:
- Experimentally validated with both an amplified piezoelectric actuator as well as a flexible joint
- It proved to be a very useful tool for the design/optimisation of components that have to be integrated in a larger system
- Believed to be quite useful for the development of future mechatronics instrumentation
Subject of one publication [[cite:&brumund21_multib_simul_reduc_order_flexib_bodies_fea]]
Further detailed in Section [...].
# TODO - Section ref:sec:detail_fem
A key tool employed extensively in this work was a combined multi-body simulation and Finite Element Analysis technique, specifically utilizing Component Mode Synthesis to represent flexible bodies within the multi-body framework [[cite:&brumund21_multib_simul_reduc_order_flexib_bodies_fea]].
This hybrid approach, while established, was experimentally validated in this work for components critical to the NASS, namely amplified piezoelectric actuators and flexible joints.
It proved invaluable for designing and optimizing components intended for integration into a larger, complex dynamic system.
This methodology, detailed in Section ref:sec:detail_fem, is presented as a potentially useful tool for future mechatronic instrument development.
**** Control Robustness by design
One of the main challenge is to design a system that is robust for all the experimental conditions:
- various rotational velocities used
- payload used can weight up to 50kg
Instead of relying on complex controller synthesis (such as $\mathcal{H}_\infty$ synthesis or $\mu\text{-synthesis}$) to guarantee the robustness and performance, the approach was to:
- Choose an adequate architecture (mechanics, sensors, actuators) such that controllers are robust by nature
- An example is the use of collocated actuator/sensor pairs, such that controller stability can be guaranteed using passivity principles
- To make informed choices on the chosen architecture:
- different ways to combine sensors (HAC-LAC, sensors fusion, two sensor control) were evaluated
- different decoupling strategy were compared
Such discussion, presented in Section [...] ,were found to be lacking in the literature.
# TODO - Section ref:sec:detail_control
The requirement for robust operation across diverse conditions—including payloads up to 50kg, complex underlying dynamics from the micro-station, and varied operational modes like different rotation speeds—presented a critical design challenge.
This challenge was met by embedding robustness directly into the active platform's design, rather than depending solely on complex post-design control synthesis techniques such as $\mathcal{H}_\infty\text{-synthesis}$ and $\mu\text{-synthesis}$.
Key elements of this strategy included the model-based evaluation of active stage designs to identify architectures inherently easier to control, the incorporation of collocated actuator/sensor pairs to leverage passivity-based guaranteed stability, and the comparison of architecture to combine several sensors such as sensor fusion and High Authority Control / Low Authority Control (HAC-LAC).
Furthermore, decoupling strategies for parallel manipulators were compared (Section ref:sec:detail_control_decoupling), addressing a topic identified as having limited treatment in the literature.
Consequently, the specified performance targets were met utilizing controllers which, facilitated by this design approach, proved to be robust, readily tunable, and easily maintained.
**** Active Damping of rotating mechanical systems using Integral Force Feedback
During the conceptual design, it was found the guaranteed stability of the active damping technique called "Integral Force Feedback" (IFF), is lost for rotating platforms as is the case for the NASS.
To overcome this issue, two modifications of the classical IFF control scheme are proposed.
The first consists of slightly modifying the control law while the second consists of adding springs in parallel with the force sensors.
Conditions for stability and optimal parameters are derived.
[[cite:&dehaeze20_activ_dampin_rotat_platf_integ_force_feedb;&dehaeze21_activ_dampin_rotat_platf_using]]
# TODO - Section ref:sec:rotating
During conceptual design, it was found that the guaranteed stability property of the established active damping technique known as Integral Force Feedback (IFF) is compromised when applied to rotating platforms like the NASS.
To address this instability issue, two modifications to the classical IFF control scheme were proposed and analyzed.
The first involves a minor adjustment to the control law itself, while the second incorporates physical springs in parallel with the force sensors.
Stability conditions and optimal parameter tuning guidelines were derived for both modified schemes.
This is further discussed in Section ref:sec:rotating and was the subject of publications [[cite:&dehaeze20_activ_dampin_rotat_platf_integ_force_feedb;&dehaeze21_activ_dampin_rotat_platf_using]].
**** Design of complementary filters using $\mathcal{H}_\infty$ Synthesis
One way to combine sensors is to use "sensor fusion".
In such case, complementary filters are used to filter and combine the sensors.
A method for designing such filter is proposed [[cite:&dehaeze19_compl_filter_shapin_using_synth]], that allows to shape the complementary filters norm, which allows to guarantee the performance of the fusion.
This was latter applied for optimal sensor fusion in gravitational wave detectors [[cite:&tsang22_optim_sensor_fusion_method_activ]].
The design strategy is discussed in Section [...].
# TODO - Section ref:sec:detail_control_sensor
The use of such complementary filters for feedback control can also lead to interesting control architecture, as discussed in [[cite:&verma20_virtual_sensor_fusion_high_precis_contr]] and further developed in Section [...].
# TODO - Section ref:sec:detail_control_cf
For implementing sensor fusion, where signals from multiple sensors are combined, complementary filters are often employed.
A novel method for designing these filters using $\mathcal{H}_\infty$ synthesis techniques was developed [[cite:&dehaeze19_compl_filter_shapin_using_synth]].
This method allows explicit shaping of the filter norms, providing guarantees on the performance of the sensor fusion process.
This synthesis technique, discussed further in Section ref:sec:detail_control_sensor, has subsequently found application in optimizing sensor fusion for gravitational wave detectors [[cite:&tsang22_optim_sensor_fusion_method_activ]].
The integration of such filters into feedback control architectures can also lead to advantageous control structures, as proposed in [[cite:&verma20_virtual_sensor_fusion_high_precis_contr]] and further studied in Section ref:sec:detail_control_cf.
**** Experimental validation of the Nano Active Stabilization System
The positioning performances of the Nano Active Stabilization System is experimentally evaluated/demonstrated on the ID31 beamline.
The positioning accuracy of the micro-station is effectively improved from the ~10um down to ~100nm while performing experiments.
Robustness to sample's mass, and different experimental conditions are also verified.
This therefore lead to a very versatile end-station, with high payload capabilities and nano-meter accuracy, allowing for full exploitation of the x-ray beam and associated instrumentation.
To the author's knowledge, this is the first time such active platform is used to improve the accuracy of a positioning stage in 5DoF.
# TODO - Section ref:sec:test_id31
The conclusion of this work involved the experimental implementation and validation of the complete NASS on the ID31 beamline.
Experimental results, presented in Section ref:sec:test_id31, demonstrate that the system successfully improves the effective positioning accuracy of the micro-station from its native $\approx 10\,\mu m$ level down to the target $\approx 100\,nm$ range during representative scientific experiments.
Crucially, robustness to variations in sample mass and diverse experimental conditions was verified.
The NASS thus provides a versatile end-station solution, uniquely combining high payload capacity with nanometer-level accuracy, enabling optimal utilization of the advanced capabilities of the ESRF-EBS beam and associated detectors.
To the author's knowledge, this represents the first demonstration of such a 5-DoF active stabilization platform being used to enhance the accuracy of a complex positioning system to this level.
* Thesis Outline - Mechatronics Design Approach
**** Introduction :ignore:
This thesis is organized:
- to follow the mechatronics development approach, i.e. it is chronologically written.
The three chapters corresponds to the three mains parts of the proposed mechatronics approach.
A brief overview of these three chapters is given bellow.
This thesis is structured chronologically, mirroring the phases of the mechatronics development approach employed for the NASS project.
It is divided into three chapters, each corresponding to a distinct phase of this methodology: Conceptual Design, Detailed Design, and Experimental Validation.
While the chapters follow this logical progression, care has been taken to structure each chapter such that its constitutive sections may also be consulted independently based on the reader's specific interests.
**** Conceptual design development
- Talk about dynamic error budgeting
- Talk about used model
The goal of this first chapter is to find a concept:
- that will provide the wanted performances with high level of confidence
- As such system is costly, a mechatronics design approach is used [[cite:&monkhorst04_dynam_error_budget]] to be able to design the system "right the first time":
- When the system is finally build, its performance level should satisfy the specifications.
- No significant changes are allowed in the post design phase.
- Because of this, the designer wants to be able to predict the performance of the system a-priori and gain insight in the performance limiting factors of the system.
To do so:
- Dynamical models are used, with included disturbances, feedback architecture, etc..
These models can be used to perform simulations, evaluate performances
- General idea is to start with very simple models, that can easily be understood (mass-spring-damper uniaxial model)
- Increase the model complexity if important physical phenomenon are to be modelled (cf the rotating model)
- Only when better understanding of the physical effects in play, and only if required, go for higher model complexity (here multi-body model)
To better understand the performance limitations, for different models, /dynamic error budgeting/ [[cite:&monkhorst04_dynam_error_budget;&okyay16_mechat_desig_dynam_contr_metrol]] are performed.
It consists of:
- Disturbance and noise signals are modeled by their spectral content, i.e. by their power spectral density (PSD)
- The effect of each error sources on the final error, while the feedback control is active, can be easily estimated
- Therefore, the effect that have the greatest impact on the achievable performance can be easily spotted and improved
- Different concepts can be compared
- This tool is therefore key in better understanding the main limitations, and guide the determination of the best concept, early in the project.
This chapter concludes with accurate time domain simulations of a tomography experiment, validating the developed concept.
The conceptual design phase, detailed in Chapter ref:chap:concept, followed a methodical progression from simplified uniaxial models to more complex multi-body representations.
Initial uniaxial analysis (Section ref:sec:uniaxial) provided fundamental insights, particularly regarding the influence of active platform stiffness on performance.
The introduction of rotation in a 3-DoF model (Section ref:sec:rotating) allowed investigation of gyroscopic effects, revealing challenges for softer platform designs.
Experimental modal analysis of the existing micro-station (Section ref:sec:modal) confirmed its complex dynamics but supported a rigid-body assumption for the different stages, justifying the development of a detailed multi-body model.
This model, tuned against experimental data and incorporating measured disturbances, was validated through simulation (Section ref:sec:ustation).
The Stewart platform architecture was selected for the active stage, and its kinematics, dynamics, and control were analyzed (Section ref:sec:nhexa).
The chapter culminates in Section ref:sec:nass with closed-loop simulations of the integrated NASS concept under realistic conditions, validating its feasibility and providing confidence for proceeding to the detailed design phase.
Dynamic error budgeting [[cite:&monkhorst04_dynam_error_budget;&okyay16_mechat_desig_dynam_contr_metrol]] was employed throughout this phase to identify performance limitations and guide concept selection.
**** Detailed design
- In the second chapter, the chosen concept can be design in more details.
- First, the architecture and geometry of the active platform is optimized.
- Then, key components of the active platform, such as the flexible joints and the actuators, are optimized using the combined multi-body / FEA design approach.
- This allowed to optimize the components using very accurate models (thanks to FEA), while still being able to integrate these components in the complete multi-body model of the NASS for time domain simulations.
- Different aspects of the control of the NASS, such as the optimal use of multiple sensors integrated in the active platform, the best adapted decoupling strategy and the design of the robust controller, are then discussed.
- The requirements for all the associated instrumentation (digital to analog converters, analog to digital converters, voltage amplifiers, relative motion sensors) are chosen based on dynamic error budgeting.
Using such approach, it was made sure that none of these instrumentation will limit the overall performance of the system.
- This chapter concludes with a presentation of the final design of the active platform.
Chapter ref:chap:detail focuses on translating the validated NASS concept into an optimized, implementable design.
Building upon the conceptual model which used idealized components, this phase addresses the detailed specification and optimization of each subsystem.
It starts with the determination of the optimal nano-hexapod geometry (Section ref:sec:detail_kinematics), analyzing the influence of geometric parameters on mobility, stiffness, and dynamics, leading to specific requirements for actuator stroke and joint mobility.
A hybrid multi-body/FEA modeling methodology is introduced and experimentally validated (Section ref:sec:detail_fem), then applied to optimize the actuators (Section ref:sec:detail_fem_actuator) and flexible joints (Section ref:sec:detail_fem_joint) while maintaining system-level simulation capability.
Control strategy refinement (Section ref:sec:detail_control) involves optimal integration of multiple sensors in the control architecture, evaluating decoupling strategies, and discussing controller optimization for decoupled systems.
Instrumentation selection (Section ref:sec:detail_instrumentation) is guided by dynamic error budgeting to establish noise specifications, followed by experimental characterization.
The chapter concludes (Section ref:sec:detail_design) by presenting the final, optimized nano-hexapod design, ready for procurement and assembly.
**** Experimental validation
After converging to a detailed design that give acceptable performance based on the models, the different parts were ordered and the experimental phase began.
Instead of directly assembling the active platform and testing it on the ID31 micro-station, a systematic approach was followed to characterize individual components.
- Therefore, actuators and flexible joints were individual characterized.
This allowed to update the model of these components, and obtained a more accurate model of the active platform
Systematic validation/refinement of models with experimental measurements
- Actuators and flexible joints were combined to form the active "struts" of the active platform.
These struts are also characterized
- Once the active platform were assembled, its dynamical model were found to over a very good match with the measured dynamics.
- This chapter conclude with the experimental tests on the ID31 micro-station of the complete NASS.
- Various scientific experiments are performed, such as tomography, and with various payload masses, to access the performances of the final system.
Chapter ref:chap:test details the experimental validation process, proceeding systematically from component-level characterization to full system evaluation on the beamline.
Actuators of the active platform were characterized, models validated, and active damping (IFF) tested (Section ref:sec:test_apa).
Flexible joints were tested on a dedicated bench to verify stiffness and stroke specifications (Section ref:sec:test_joints).
Assembled struts (actuators + joints) were then characterized to ensure consistency and validate multi-body models (Section ref:sec:test_struts).
The complete nano-hexapod assembly was tested on an isolated table, allowing accurate dynamic identification and model validation under various payload conditions (Section ref:sec:test_nhexa).
Finally, the integrated NASS was validated on the ID31 beamline using a purpose-built short-stroke metrology system (Section ref:sec:test_id31).
The implemented control architecture was tested under realistic experimental scenarios, including tomography with heavy payloads, confirming the system's performance and robustness.
* Bibliography :ignore:
#+latex: \printbibliography[heading=bibintoc,title={Bibliography}]

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