Add introduction
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@ -308,6 +308,10 @@ Be able to pass custom =.mat= files (one mat file per disturbance)?
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- Maybe say that we remove the excentricity (by circle fit: show it in the figure)
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- Maybe say that we remove the excentricity (by circle fit: show it in the figure)
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- Then the rest is modelled by stochastic disturbance
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- Then the rest is modelled by stochastic disturbance
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** TODO [#C] Add glossary
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PoI | Point of interest
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** TODO [#C] Add picture of measured ground motion
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** TODO [#C] Add picture of measured ground motion
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** TODO [#C] Add screenshot of Simscape model
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** TODO [#C] Add screenshot of Simscape model
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** WAIT [#B] I have no measurement of horizontal ground motion :@marc:
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** WAIT [#B] I have no measurement of horizontal ground motion :@marc:
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@ -874,7 +878,25 @@ xlim([2, 500]);
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* Introduction :ignore:
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* Introduction :ignore:
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Introduction...
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From the start of this work, it became increasingly clear that an accurate model of the micro-station was necessary.
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First, during the uniaxial study, it became apparent that the micro-station dynamics affects the nano-hexapod dynamics.
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Then, using the 3-DoF rotating model, it was discovered that the rotation of the nano-hexapod induces gyroscopic effects that affects the system dynamics, and that it should therefore be modelled.
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Finally, performing a modal analysis of the micro-station showed how complex the dynamics of the station is.
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It also confirmed that each stage behaves as a rigid body in the frequency range of interest.
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Therefore a multi-body model seems a good candidate to accurately represent the micro-station dynamics.
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In this report, the development of such multi-body model is presented.
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First, each stage of the micro-station is described.
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The kinematics of the micro-station (i.e. how the motion of the stages are combined) is presented in Section ref:sec:ustation_kinematics.
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Then, the multi-body model is presented and tuned to match the measured dynamics of the micro-station (Section ref:sec:ustation_modeling).
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Disturbances affecting the positioning accuracy also need to be modelled properly.
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To do so, the effect of these disturbances are first measured experimental and then injected in the multi-body model (Section ref:sec:ustation_disturbances).
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To validate the accuracy of the micro-station model, "real world" experiments are simulated and compared with measurements in Section ref:sec:ustation_experiments.
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# #+name: tab:ustation_section_matlab_code
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# #+name: tab:ustation_section_matlab_code
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# #+caption: Report sections and corresponding Matlab files
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# #+caption: Report sections and corresponding Matlab files
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@ -1928,65 +1950,70 @@ Therefore, from a control point of view, they are not important.
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**** Ground Motion
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**** Ground Motion
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The ground motion is simply measured by using a sensitive 3-axis geophone placed on the ground.
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The ground motion is measured by using a sensitive 3-axis geophone[fn:11] placed on the ground.
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The generated voltages are recorded with a high resolution DAC, and converted to displacement using the Geophone sensitivity transfer function.
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The generated voltages are recorded with a high resolution DAC, and converted to displacement using the Geophone sensitivity transfer function.
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The obtained ground motion displacement is shown in Figure ref:fig:ustation_ground_disturbance.
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The obtained ground motion displacement is shown in Figure ref:fig:ustation_ground_disturbance.
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#+begin_src matlab
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#+begin_src matlab
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%% Compute Floor Motion Spectral Density
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%% Compute Floor Motion Spectral Density
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% Load floor motion data
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% Load floor motion data
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% t: time in [s]
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% velocity in [m/s] is measured in X, Y and Z directions
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% V: measured voltage genrated by the geophone and amplified by a 60dB gain voltage amplifier [V]
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load('ustation_ground_motion.mat', 'Ts', 'Fs', 'vel_x', 'vel_y', 'vel_z', 't');
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load('ustation_ground_motion.mat', 't', 'V');
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% Geophone Transfer Function
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% Estimate ground displacement from measured velocity
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Tg = 88; % Sensitivity [V/(m/s)]
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% This is done by integrating the motion
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w0 = 2*2*pi; % Cut-off frequency [rad/s]
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gm_x = lsim(1/(s+0.1*2*pi), vel_x, t);
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xi = 0.7; % Damping ratio
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gm_y = lsim(1/(s+0.1*2*pi), vel_y, t);
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gm_z = lsim(1/(s+0.1*2*pi), vel_z, t);
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G_geo = Tg*s*s^2/(s^2 + 2*xi*w0*s + w0^2); % Geophone's transfer function [V/m]
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% Voltage amplifier transfer function
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g0 = 10^(60/20); % [abs]
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% Compute measured voltage PSD
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Ts = (t(2)-t(1)); % Sampling Time [s]
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Nfft = floor(2/Ts);
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Nfft = floor(2/Ts);
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win = hanning(Nfft);
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win = hanning(Nfft);
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Noverlap = floor(Nfft/2);
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Noverlap = floor(Nfft/2);
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[pxx_V, f_gm] = pwelch(V, win, Noverlap, Nfft, 1/Ts); % [V^2/Hz]
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[pxx_gm_vx, f_gm] = pwelch(vel_x, win, Noverlap, Nfft, 1/Ts);
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[pxx_gm_vy, ~] = pwelch(vel_y, win, Noverlap, Nfft, 1/Ts);
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[pxx_gm_vz, ~] = pwelch(vel_z, win, Noverlap, Nfft, 1/Ts);
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% Ground Motion ASD
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% Convert PSD in velocity to PSD in displacement
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pxx_gm_z = pxx_V./abs(squeeze(freqresp(G_geo*g0, f_gm, 'Hz'))).^2; % [m^2/Hz]
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pxx_gm_x = pxx_gm_vx./((2*pi*f_gm).^2);
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% Assumption here that horizontal ground motion is ~25% smaller
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pxx_gm_y = pxx_gm_vy./((2*pi*f_gm).^2);
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% than vertical one.
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pxx_gm_z = pxx_gm_vz./((2*pi*f_gm).^2);
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pxx_gm_x = (0.7)^2*pxx_gm_z; % [m^2/Hz]
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pxx_gm_y = (0.8)^2*pxx_gm_z; % [m^2/Hz]
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#+end_src
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#+end_src
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#+begin_src matlab :exports none :results none
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#+begin_src matlab :exports none :results none
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% Estimate ground motion
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w0_min = 0.1*2*pi;
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gm_z = lsim(inv(g0*G_geo)*((s/w0_min)/(1+s/w0_min))^3, detrend(V, 0), t);
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%% Measured ground motion
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%% Measured ground motion
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figure;
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figure;
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hold on;
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hold on;
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plot(t(t>50)-50, 1e6*gm_z(t>50))
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plot(t, 1e6*gm_x, 'DisplayName', '$D_{xf}$')
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plot(t, 1e6*gm_y, 'DisplayName', '$D_{yf}$')
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plot(t, 1e6*gm_z, 'DisplayName', '$D_{zf}$')
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hold off;
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hold off;
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xlabel('Time [s]');
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xlabel('Time [s]');
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ylabel('Vertical motion [$\mu$m]')
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ylabel('Ground motion [$\mu$m]')
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xlim([0, 5]); ylim([-2, 2])
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leg = legend('location', 'northeast', 'FontSize', 8, 'NumColumns', 1);
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leg.ItemTokenSize(1) = 15;
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#+end_src
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#+end_src
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#+begin_src matlab :tangle no :exports results :results file replace
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#+begin_src matlab :tangle no :exports results :results file none
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exportFig('figs/ustation_ground_disturbance.pdf', 'width', 'normal', 'height', 'short');
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exportFig('figs/ustation_ground_disturbance.pdf', 'width', 'half', 'height', 450);
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#+end_src
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#+end_src
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#+attr_latex: :options [b]{0.54\linewidth}
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#+begin_minipage
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#+name: fig:ustation_ground_disturbance
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#+name: fig:ustation_ground_disturbance
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#+caption: Measured ground motion
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#+caption: Measured ground motion
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#+RESULTS:
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#+attr_latex: :scale 1 :float nil
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[[file:figs/ustation_ground_disturbance.png]]
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[[file:figs/ustation_ground_disturbance.png]]
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#+end_minipage
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\hfill
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#+attr_latex: :options [b]{0.44\linewidth}
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#+begin_minipage
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#+name: fig:ustation_geophone_picture
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#+caption: (3D) L-4C geophone
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#+attr_latex: :width 0.92\linewidth :float nil
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[[file:figs/ustation_geophone_picture.jpg]]
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#+end_minipage
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**** Ty Stage
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**** Ty Stage
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@ -2381,7 +2408,7 @@ pxx_dy_fz = pxx_dy_dz./abs(squeeze(freqresp(Gd('Dz', 'Fdy_z'), f_dy, 'Hz'))).^2;
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% in the Simscape model
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% in the Simscape model
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% Ground motion
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% Ground motion
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min_f = 1; max_f = 500;
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min_f = 1; max_f = 100;
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gm_dist.f = f_gm(f_gm < max_f & f_gm > min_f);
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gm_dist.f = f_gm(f_gm < max_f & f_gm > min_f);
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gm_dist.pxx_x = pxx_gm_x(f_gm < max_f & f_gm > min_f);
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gm_dist.pxx_x = pxx_gm_x(f_gm < max_f & f_gm > min_f);
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gm_dist.pxx_y = pxx_gm_y(f_gm < max_f & f_gm > min_f);
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gm_dist.pxx_y = pxx_gm_y(f_gm < max_f & f_gm > min_f);
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@ -2573,7 +2600,6 @@ exportFig('figs/ustation_dist_source_ground_motion_time.pdf', 'width', 'third',
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:HEADER-ARGS:matlab+: :tangle matlab/ustation_4_experiments.m
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:HEADER-ARGS:matlab+: :tangle matlab/ustation_4_experiments.m
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:END:
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:END:
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<<sec:ustation_experiments>>
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<<sec:ustation_experiments>>
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** Introduction :ignore:
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** Introduction :ignore:
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In order to fully validate the micro-station multi-body model, two time domain simulations corresponding to typical use cases are performed.
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In order to fully validate the micro-station multi-body model, two time domain simulations corresponding to typical use cases are performed.
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@ -2797,6 +2823,9 @@ exportFig('figs/ustation_errors_model_dy_vertical.pdf', 'width', 'half', 'height
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[[file:figs/ustation_errors_model_dy_vertical.png]]
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[[file:figs/ustation_errors_model_dy_vertical.png]]
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* Conclusion
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* Conclusion
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:PROPERTIES:
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:UNNUMBERED: t
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:END:
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<<sec:uniaxial_conclusion>>
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<<sec:uniaxial_conclusion>>
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In order to have good model:
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In order to have good model:
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@ -5350,14 +5379,14 @@ Otherwise, when the limbs' lengths derived yield complex numbers, then the posit
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#+end_src
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#+end_src
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* Footnotes
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* Footnotes
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[fn:11]A 3-Axis L4C geophone manufactured Sercel was used.
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[fn:10]Laser source is manufactured by Agilent (5519b)
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[fn:10]Laser source is manufactured by Agilent (5519b).
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[fn:9]The special optics (straightness interferometer and reflector) are manufactured by Agilent (10774A).
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[fn:9]The special optics (straightness interferometer and reflector) are manufactured by Agilent (10774A).
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[fn:8]C8 capacitive sensors and CPL290 capacitive driver electronics from Lion Precision
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[fn:8]C8 capacitive sensors and CPL290 capacitive driver electronics from Lion Precision.
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[fn:7]The Spindle Error Analyzer is made by Lion Precision.
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[fn:7]The Spindle Error Analyzer is made by Lion Precision.
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[fn:6]The tools presented here are largely taken from [[cite:&taghirad13_paral]].
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[fn:6]The tools presented here are largely taken from [[cite:&taghirad13_paral]].
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[fn:5]Rotations are non commutative in 3D
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[fn:5]Rotations are non commutative in 3D.
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[fn:4]Ball cage (N501) and guide bush (N550) from Mahr are used
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[fn:4]Ball cage (N501) and guide bush (N550) from Mahr are used.
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[fn:3]Modified Zonda Hexapod by Symetrie
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[fn:3]Modified Zonda Hexapod by Symetrie.
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[fn:2]Made by LAB Motion Systems
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[fn:2]Made by LAB Motion Systems.
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[fn:1]HCR 35 A C1, from THK
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[fn:1]HCR 35 A C1, from THK.
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@ -1,4 +1,4 @@
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% Created 2024-11-06 Wed 15:31
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% Created 2024-11-06 Wed 16:28
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% Intended LaTeX compiler: pdflatex
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% Intended LaTeX compiler: pdflatex
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\documentclass[a4paper, 10pt, DIV=12, parskip=full, bibliography=totoc]{scrreprt}
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\documentclass[a4paper, 10pt, DIV=12, parskip=full, bibliography=totoc]{scrreprt}
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@ -24,7 +24,25 @@
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\clearpage
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\clearpage
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Introduction\ldots{}
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From the start of this work, it became increasingly clear that an accurate model of the micro-station was necessary.
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First, during the uniaxial study, it became apparent that the micro-station dynamics affects the nano-hexapod dynamics.
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Then, using the 3-DoF rotating model, it was discovered that the rotation of the nano-hexapod induces gyroscopic effects that affects the system dynamics, and that it should therefore be modelled.
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Finally, performing a modal analysis of the micro-station showed how complex the dynamics of the station is.
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It also confirmed that each stage behaves as a rigid body in the frequency range of interest.
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Therefore a multi-body model seems a good candidate to accurately represent the micro-station dynamics.
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In this report, the development of such multi-body model is presented.
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First, each stage of the micro-station is described.
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The kinematics of the micro-station (i.e. how the motion of the stages are combined) is presented in Section \ref{sec:ustation_kinematics}.
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Then, the multi-body model is presented and tuned to match the measured dynamics of the micro-station (Section \ref{sec:ustation_modeling}).
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Disturbances affecting the positioning accuracy also need to be modelled properly.
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To do so, the effect of these disturbances are first measured experimental and then injected in the multi-body model (Section \ref{sec:ustation_disturbances}).
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To validate the accuracy of the micro-station model, ``real world'' experiments are simulated and compared with measurements in Section \ref{sec:ustation_experiments}.
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\chapter{Micro-Station Kinematics}
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\chapter{Micro-Station Kinematics}
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@ -55,11 +73,11 @@ A linear motor was first used to be able to perform fast and accurate scans.
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It was later replaced with a stepper motor and lead-screw, as the feedback control used for the linear motor was unreliable, probably caused by rust of the linear guides along its stroke.
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It was later replaced with a stepper motor and lead-screw, as the feedback control used for the linear motor was unreliable, probably caused by rust of the linear guides along its stroke.
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An optical linear encoder is used to measure the stage motion and for PID control of the position.
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An optical linear encoder is used to measure the stage motion and for PID control of the position.
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Four cylindrical bearings\footnote{Ball cage (N501) and guide bush (N550) from Mahr are used} are used to guide the motion (i.e. minimize the parasitic motions) and have high stiffness.
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Four cylindrical bearings\footnote{Ball cage (N501) and guide bush (N550) from Mahr are used.} are used to guide the motion (i.e. minimize the parasitic motions) and have high stiffness.
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\paragraph{Tilt Stage}
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\paragraph{Tilt Stage}
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The tilt stage is guided by four linear motion guides\footnote{HCR 35 A C1, from THK} which are placed such that the center of rotation coincide with the X-ray beam.
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The tilt stage is guided by four linear motion guides\footnote{HCR 35 A C1, from THK.} which are placed such that the center of rotation coincide with the X-ray beam.
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Each linear guide has high stiffness in radial directions such that the only DoF with low stiffness is in \(R_y\).
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Each linear guide has high stiffness in radial directions such that the only DoF with low stiffness is in \(R_y\).
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This stage is mainly used for \emph{reflectivity} experiments where the sample \(R_y\) angle is scanned.
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This stage is mainly used for \emph{reflectivity} experiments where the sample \(R_y\) angle is scanned.
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@ -84,13 +102,13 @@ To precisely control the \(R_y\) angle, a stepper motor as well as two optical e
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\paragraph{Spindle}
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\paragraph{Spindle}
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Then, a rotation stage is used for tomography experiments.
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Then, a rotation stage is used for tomography experiments.
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It is composed of an air bearing spindle\footnote{Made by LAB Motion Systems}, whose angular position is controlled with a 3 phase synchronous motor based on the reading of 4 optical encoders.
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It is composed of an air bearing spindle\footnote{Made by LAB Motion Systems.}, whose angular position is controlled with a 3 phase synchronous motor based on the reading of 4 optical encoders.
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Additional rotary unions and slip-rings to be able to pass through the rotation many electrical signals and fluids and gazes.
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Additional rotary unions and slip-rings to be able to pass through the rotation many electrical signals and fluids and gazes.
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\paragraph{Micro-Hexapod}
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\paragraph{Micro-Hexapod}
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Finally, a Stewart platform\footnote{Modified Zonda Hexapod by Symetrie} is used to position the sample.
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Finally, a Stewart platform\footnote{Modified Zonda Hexapod by Symetrie.} is used to position the sample.
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It includes a DC motor and an optical linear encoders in each of the six strut.
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It includes a DC motor and an optical linear encoders in each of the six strut.
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It is used to position the point of interest of the sample with respect to the spindle rotation axis.
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It is used to position the point of interest of the sample with respect to the spindle rotation axis.
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@ -186,7 +204,7 @@ For rotations along \(x\), \(y\) or \(z\) axis, formulas are given in Equation \
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\end{subequations}
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\end{subequations}
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Sometimes, it is useful to express a rotation as a combination of three rotations described by \(\mathbf{R}_x\), \(\mathbf{R}_y\) and \(\mathbf{R}_z\).
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Sometimes, it is useful to express a rotation as a combination of three rotations described by \(\mathbf{R}_x\), \(\mathbf{R}_y\) and \(\mathbf{R}_z\).
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As the order of rotation is very important\footnote{Rotations are non commutative in 3D}, in this work we choose to express rotations as three successive rotations about the coordinate axes of the moving frame eqref;eq:ustation\_rotation\_combination.
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As the order of rotation is very important\footnote{Rotations are non commutative in 3D.}, in this work we choose to express rotations as three successive rotations about the coordinate axes of the moving frame eqref;eq:ustation\_rotation\_combination.
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\begin{equation}\label{eq:ustation_rotation_combination}
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\begin{equation}\label{eq:ustation_rotation_combination}
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{}^A\mathbf{R}_B(\alpha, \beta, \gamma) = \mathbf{R}_u(\alpha) \mathbf{R}_v(\beta) \mathbf{R}_c(\gamma)
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{}^A\mathbf{R}_B(\alpha, \beta, \gamma) = \mathbf{R}_u(\alpha) \mathbf{R}_v(\beta) \mathbf{R}_c(\gamma)
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@ -563,20 +581,28 @@ The tilt stage and the micro-hexapod also have positioning errors, they are howe
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Therefore, from a control point of view, they are not important.
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Therefore, from a control point of view, they are not important.
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\paragraph{Ground Motion}
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\paragraph{Ground Motion}
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The ground motion is simply measured by using a sensitive 3-axis geophone placed on the ground.
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The ground motion is measured by using a sensitive 3-axis geophone\footnote{A 3-Axis L4C geophone manufactured Sercel was used.} placed on the ground.
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The generated voltages are recorded with a high resolution DAC, and converted to displacement using the Geophone sensitivity transfer function.
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The generated voltages are recorded with a high resolution DAC, and converted to displacement using the Geophone sensitivity transfer function.
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The obtained ground motion displacement is shown in Figure \ref{fig:ustation_ground_disturbance}.
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The obtained ground motion displacement is shown in Figure \ref{fig:ustation_ground_disturbance}.
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||||||
\begin{figure}[htbp]
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\begin{minipage}[b]{0.54\linewidth}
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||||||
\centering
|
\begin{center}
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\includegraphics[scale=1]{figs/ustation_ground_disturbance.png}
|
\includegraphics[scale=1,scale=1]{figs/ustation_ground_disturbance.png}
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\caption{\label{fig:ustation_ground_disturbance}Measured ground motion}
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\captionof{figure}{\label{fig:ustation_ground_disturbance}Measured ground motion}
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||||||
\end{figure}
|
\end{center}
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||||||
|
\end{minipage}
|
||||||
|
\hfill
|
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|
\begin{minipage}[b]{0.44\linewidth}
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||||||
|
\begin{center}
|
||||||
|
\includegraphics[scale=1,width=0.92\linewidth]{figs/ustation_geophone_picture.jpg}
|
||||||
|
\captionof{figure}{\label{fig:ustation_geophone_picture}(3D) L-4C geophone}
|
||||||
|
\end{center}
|
||||||
|
\end{minipage}
|
||||||
|
|
||||||
\paragraph{Ty Stage}
|
\paragraph{Ty Stage}
|
||||||
|
|
||||||
To measure the positioning errors of the translation stage, the setup shown in Figure \ref{fig:ustation_errors_ty_setup} is used.
|
To measure the positioning errors of the translation stage, the setup shown in Figure \ref{fig:ustation_errors_ty_setup} is used.
|
||||||
A special optical element (called a ``straightness interferometer''\footnote{The special optics (straightness interferometer and reflector) are manufactured by Agilent (10774A).}) is fixed on top of the micro-station, while a laser source\footnote{Laser source is manufactured by Agilent (5519b)} and a straightness reflector are fixed on the ground.
|
A special optical element (called a ``straightness interferometer''\footnote{The special optics (straightness interferometer and reflector) are manufactured by Agilent (10774A).}) is fixed on top of the micro-station, while a laser source\footnote{Laser source is manufactured by Agilent (5519b).} and a straightness reflector are fixed on the ground.
|
||||||
A similar setup is used to measure the horizontal deviation (i.e. in the \(x\) direction), as well as the pitch and yaw errors of the translation stage.
|
A similar setup is used to measure the horizontal deviation (i.e. in the \(x\) direction), as well as the pitch and yaw errors of the translation stage.
|
||||||
|
|
||||||
\begin{figure}[htbp]
|
\begin{figure}[htbp]
|
||||||
@ -612,7 +638,7 @@ Similar result is obtain for the \(x\) lateral direction.
|
|||||||
|
|
||||||
In order to measure the positioning errors induced by the Spindle, a ``Spindle error analyzer''\footnote{The Spindle Error Analyzer is made by Lion Precision.} is used as shown in Figure \ref{fig:ustation_rz_meas_lion_setup}.
|
In order to measure the positioning errors induced by the Spindle, a ``Spindle error analyzer''\footnote{The Spindle Error Analyzer is made by Lion Precision.} is used as shown in Figure \ref{fig:ustation_rz_meas_lion_setup}.
|
||||||
A specific target is fixed on top of the micro-station which consists of two sphere with 1 inch diameter precisely aligned with the spindle rotation axis.
|
A specific target is fixed on top of the micro-station which consists of two sphere with 1 inch diameter precisely aligned with the spindle rotation axis.
|
||||||
Five capacitive sensors\footnote{C8 capacitive sensors and CPL290 capacitive driver electronics from Lion Precision} are pointing at the two spheres as shown in Figure \ref{fig:ustation_rz_meas_lion_zoom}.
|
Five capacitive sensors\footnote{C8 capacitive sensors and CPL290 capacitive driver electronics from Lion Precision.} are pointing at the two spheres as shown in Figure \ref{fig:ustation_rz_meas_lion_zoom}.
|
||||||
From the 5 measured displacements \([d_1,\,d_2,\,d_3,\,d_4,\,d_5]\), the translations and rotations \([D_x,\,D_y,\,D_z,\,R_x,\,R_y]\) of the target can be estimated.
|
From the 5 measured displacements \([d_1,\,d_2,\,d_3,\,d_4,\,d_5]\), the translations and rotations \([D_x,\,D_y,\,D_z,\,R_x,\,R_y]\) of the target can be estimated.
|
||||||
|
|
||||||
\begin{figure}[htbp]
|
\begin{figure}[htbp]
|
||||||
@ -751,7 +777,6 @@ In order to fully validate the micro-station multi-body model, two time domain s
|
|||||||
|
|
||||||
First, a tomography experiment (i.e. a constant Spindle rotation) is performed and compared with experimental measurements (Section \ref{sec:ustation_experiments_tomography}).
|
First, a tomography experiment (i.e. a constant Spindle rotation) is performed and compared with experimental measurements (Section \ref{sec:ustation_experiments_tomography}).
|
||||||
Second, a constant velocity scans with the translation stage is performed and also compared with experimental data (Section \ref{sec:ustation_experiments_ty_scans}).
|
Second, a constant velocity scans with the translation stage is performed and also compared with experimental data (Section \ref{sec:ustation_experiments_ty_scans}).
|
||||||
|
|
||||||
\section{Tomography Experiment}
|
\section{Tomography Experiment}
|
||||||
\label{sec:ustation_experiments_tomography}
|
\label{sec:ustation_experiments_tomography}
|
||||||
|
|
||||||
@ -793,7 +818,7 @@ Similar error amplitude can be observed, thus indicating that the multi-body mod
|
|||||||
\caption{\label{fig:ustation_errors_model_dy_vertical}Vertical errors during a constant velocity scan of the translation stage. Comparison of the measurements and simulated errors.}
|
\caption{\label{fig:ustation_errors_model_dy_vertical}Vertical errors during a constant velocity scan of the translation stage. Comparison of the measurements and simulated errors.}
|
||||||
\end{figure}
|
\end{figure}
|
||||||
|
|
||||||
\chapter{Conclusion}
|
\chapter*{Conclusion}
|
||||||
\label{sec:uniaxial_conclusion}
|
\label{sec:uniaxial_conclusion}
|
||||||
|
|
||||||
In order to have good model:
|
In order to have good model:
|
||||||
|
Loading…
Reference in New Issue
Block a user