Re-read section about the dynamical measurements
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@ -386,15 +386,16 @@ To estimate the PSD of the position error $\epsilon$ and thus the RMS residual m
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<<sec:micro_station_dynamics>>
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** Introduction :ignore:
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As explained before, it is very important to have a good estimation of the micro-station dynamics as it will be coupled with the dynamics of the nano-hexapod and thus is very important for both the design of the nano-hexapod and controller.
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As explained before, it is very important to have a good estimation of the micro-station dynamics as it will be used:
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- to tune the developed multi-body model of the micro-station with which the simulations will be performed
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- for the design of the nano-hexapod as it will be coupled with the micro-station
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- for the design of the controller
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The estimated dynamics will also be used to tune the developed multi-body model of the micro-station with which the simulations will be performed.
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All the measurements performed on the micro-station are detailed in [[https://tdehaeze.github.io/meas-analysis/][this]] document and summarized in the following sections.
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The general procedure to identify the dynamics of the micro-station is shown in Figure [[fig:vibration_analysis_procedure]].
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The steps are:
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1. extract a Response Model (Frequency Response Functions) from measurements
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2. convert the Response Model into a Modal Model (Natural Frequencies and Mode Shapes)
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@ -405,24 +406,25 @@ The steps are:
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[[file:figs/vibration_analysis_procedure.png]]
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The extraction of the Spatial Model (3rd step) was not performed as it requires a lot of time and was not judge necessary.
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Instead, the model will be tuned using both the modal model and the response model.
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** Setup
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** Experimental Setup
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<<sec:id_setup>>
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To measure the dynamics of such complicated system, it as been chosen to perform a modal analysis.
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To limit the number of degrees of freedom to be measured, we suppose that in the frequency range of interest (DC-300Hz), each of the positioning stage is behaving as a *solid body*.
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Thus, to fully describe the dynamics of the station, we (only) need to measure 6 degrees of freedom on each of the positioning stage (that is 36 degrees of freedom for the 6 solid bodies).
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Thus, to fully describe the dynamics of the station, we (only) need to measure 6 degrees of freedom for each positioning stage (that is 36 degrees of freedom for the 6 considered solid bodies).
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In order to perform the *Modal Analysis*, the following devices were used:
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- An *acquisition system* (OROS) with 24bits ADCs
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- 3 tri-axis *Accelerometers*
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- An *Instrumented Hammer*
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In order to perform the modal analysis, the following devices were used:
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- An acquisition system (OROS) with 24bits ADCs
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- 3 tri-axis Accelerometers
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- An Instrumented Hammer
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The measurement thus consists of:
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- Exciting the structure at the same location with the Hammer (Figure [[fig:hammer_z]])
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- Move the accelerometers to measure all the DOF of the structure.
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The measurement consists of:
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- Exciting the structure at the same location with the instrumented hammer (Figure [[fig:hammer_z]])
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- Fix the accelerometers on each of the stages to measure all the DOF of the structure.
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The position of the accelerometers are:
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- 4 on the first granite
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- 4 on the second granite
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@ -433,7 +435,7 @@ The measurement thus consists of:
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In total, 69 degrees of freedom are measured (23 tri axis accelerometers) which is more that what was required.
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We chose to have some redundancy in the measurement to be able to verify that the solid-body assumption is correct for each of the stage.
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It was chosen to have some redundancy in the measurement to be able to verify the correctness of the solid-body assumption.
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#+name: fig:hammer_z
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#+caption: Example of one hammer impact
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@ -446,9 +448,10 @@ We chose to have some redundancy in the measurement to be able to verify that th
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** Results
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<<sec:id_results>>
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From the measurements, we obtain all the transfer functions from forces applied at the location of the hammer impacts to the x-y-z acceleration of each solid body at the location of each accelerometer.
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From the measurements are extracted all the transfer functions from forces applied at the location of the hammer impacts to the x-y-z acceleration of each solid body at the location of each accelerometer.
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Modal shapes and natural frequencies are then computed. Example of mode shapes are shown in Figures [[fig:mode1]] [[fig:mode6]].
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Modal shapes and natural frequencies are then computed.
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Example of the obtained micro-station's mode shapes are shown in Figures [[fig:mode1]] and [[fig:mode6]].
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#+name: fig:mode1
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#+caption: First mode that shows a suspension mode, probably due to bad leveling of one Airloc
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@ -465,9 +468,9 @@ From the reduced transfer function matrix, we can re-synthesize the response at
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#+begin_important
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This confirms the fact that the stages are indeed behaving as a solid body in the frequency band of interest.
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This thus means that a multi-body model can be used to represent the dynamics of the micro-station.
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#+end_important
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This thus means that *a multi-body model can be used to correctly represent the dynamics of the micro-station*.
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#+end_important
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Many Frequency Response Functions (FRF) are obtained from the measurements.
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Examples of FRF are shown in Figure [[fig:frf_all_bodies_one_direction]].
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@ -479,7 +482,8 @@ These FRF will be used to compare the dynamics of the multi-body model with the
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** Conclusion
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#+begin_important
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The modal analysis of the micro-station confirmed the fact that a multi-body model should be able to correctly represents the micro-station dynamics.
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The dynamical measurements made on the micro-station confirmed the fact that a multi-body model is a good option to correctly represents the micro-station dynamics.
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In Section [[sec:multi_body_model]], the obtained Frequency Response Functions will be used to compare the model dynamics with the micro-station dynamics.
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#+end_important
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