Add dynamic noise budgeting: sensor noise spec.
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docs/figs/noise_budget_ndL_max_asd.pdf
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<!-- 2020-05-05 mar. 11:38 -->
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<!-- 2020-07-31 ven. 18:00 -->
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<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<title>Simscape Model of the Nano-Active-Stabilization-System</title>
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<title>Simscape Model of the Nano-Active-Stabilization-System</title>
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@ -41,9 +40,10 @@
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<li><a href="#orga323881">12. Effect of Experimental conditions on the plant dynamics (link)</a></li>
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<li><a href="#orga323881">12. Effect of Experimental conditions on the plant dynamics (link)</a></li>
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<li><a href="#orge7b9b41">13. Optimal Stiffness of the nano-hexapod to reduce plant uncertainty (link)</a></li>
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<li><a href="#orge7b9b41">13. Optimal Stiffness of the nano-hexapod to reduce plant uncertainty (link)</a></li>
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<li><a href="#org5f73af9">14. Effect of flexible joints on the plant dynamics (link)</a></li>
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<li><a href="#org5f73af9">14. Effect of flexible joints on the plant dynamics (link)</a></li>
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<li><a href="#org14a10e8">15. Active Damping Techniques on the full Simscape Model (link)</a></li>
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<li><a href="#org2852795">15. Dynamic Noise Budgeting (link)</a></li>
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<li><a href="#orgd818a00">16. Control of the Nano-Active-Stabilization-System (link)</a></li>
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<li><a href="#org14a10e8">16. Active Damping Techniques on the full Simscape Model (link)</a></li>
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<li><a href="#org361f405">17. Useful Matlab Functions (link)</a></li>
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<li><a href="#orgd818a00">17. Control of the Nano-Active-Stabilization-System (link)</a></li>
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<li><a href="#org361f405">18. Useful Matlab Functions (link)</a></li>
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</ul>
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</ul>
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</div>
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@ -216,18 +216,27 @@ Conclusion are drawn on the required stiffness properties of the flexible joints
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<div id="outline-container-org14a10e8" class="outline-2">
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<div id="outline-container-org2852795" class="outline-2">
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<h2 id="org14a10e8"><span class="section-number-2">15</span> Active Damping Techniques on the full Simscape Model (<a href="control_active_damping.html">link</a>)</h2>
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<h2 id="org2852795"><span class="section-number-2">15</span> Dynamic Noise Budgeting (<a href="noise_budgeting.html">link</a>)</h2>
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<div class="outline-text-2" id="text-15">
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<div class="outline-text-2" id="text-15">
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<p>
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<p>
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The maximum allowed noise of the sensors in the system are estimated using a Dynamic Noise Budgeting.
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</p>
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<div id="outline-container-org14a10e8" class="outline-2">
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<h2 id="org14a10e8"><span class="section-number-2">16</span> Active Damping Techniques on the full Simscape Model (<a href="control_active_damping.html">link</a>)</h2>
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<div class="outline-text-2" id="text-16">
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<p>
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Active damping techniques are applied to the full Simscape model.
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Active damping techniques are applied to the full Simscape model.
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</p>
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</p>
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<div id="outline-container-orgd818a00" class="outline-2">
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<div id="outline-container-orgd818a00" class="outline-2">
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<h2 id="orgd818a00"><span class="section-number-2">16</span> Control of the Nano-Active-Stabilization-System (<a href="control.html">link</a>)</h2>
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<h2 id="orgd818a00"><span class="section-number-2">17</span> Control of the Nano-Active-Stabilization-System (<a href="control.html">link</a>)</h2>
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<div class="outline-text-2" id="text-16">
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<div class="outline-text-2" id="text-17">
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<p>
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<p>
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In this file are gathered all studies about the control the Nano-Active-Stabilization-System.
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In this file are gathered all studies about the control the Nano-Active-Stabilization-System.
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</p>
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</p>
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@ -235,8 +244,8 @@ In this file are gathered all studies about the control the Nano-Active-Stabiliz
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</div>
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</div>
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<div id="outline-container-org361f405" class="outline-2">
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<div id="outline-container-org361f405" class="outline-2">
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<h2 id="org361f405"><span class="section-number-2">17</span> Useful Matlab Functions (<a href="./functions.html">link</a>)</h2>
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<h2 id="org361f405"><span class="section-number-2">18</span> Useful Matlab Functions (<a href="./functions.html">link</a>)</h2>
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<div class="outline-text-2" id="text-17">
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<div class="outline-text-2" id="text-18">
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Many matlab functions are shared among all the files of the projects.
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Many matlab functions are shared among all the files of the projects.
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</p>
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@ -249,7 +258,7 @@ These functions are all defined <a href="./functions.html">here</a>.
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</div>
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<div id="postamble" class="status">
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<div id="postamble" class="status">
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<p class="author">Author: Dehaeze Thomas</p>
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<p class="author">Author: Dehaeze Thomas</p>
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<p class="date">Created: 2020-05-05 mar. 11:38</p>
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<p class="date">Created: 2020-07-31 ven. 18:00</p>
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docs/noise_budgeting.html
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<!-- 2020-07-31 ven. 17:58 -->
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<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<title>Noise Budgeting</title>
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<meta name="generator" content="Org mode" />
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<meta name="author" content="Dehaeze Thomas" />
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<body>
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<div id="org-div-home-and-up">
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<a accesskey="h" href="./index.html"> UP </a>
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<a accesskey="H" href="./index.html"> HOME </a>
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</div><div id="content">
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<h1 class="title">Noise Budgeting</h1>
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<div id="table-of-contents">
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<h2>Table of Contents</h2>
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<div id="text-table-of-contents">
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<ul>
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<li><a href="#orgc8b5888">1. Maximum Noise of the Relative Motion Sensors</a>
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<ul>
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<li><a href="#org47d58ae">1.1. Initialization</a></li>
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<li><a href="#org9b3405f">1.2. Control System</a></li>
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<li><a href="#org4b1b358">1.3. Maximum induced vibration’s ASD</a></li>
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<li><a href="#org446dbf5">1.4. Computation of the maximum relative motion sensor noise</a></li>
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<li><a href="#org65a9628">1.5. Verification of the induced motion error</a></li>
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</ul>
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</li>
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</ul>
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<div id="outline-container-orgc8b5888" class="outline-2">
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<h2 id="orgc8b5888"><span class="section-number-2">1</span> Maximum Noise of the Relative Motion Sensors</h2>
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<div class="outline-text-2" id="text-1">
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</div>
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<div id="outline-container-org47d58ae" class="outline-3">
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<h3 id="org47d58ae"><span class="section-number-3">1.1</span> Initialization</h3>
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<div class="outline-text-3" id="text-1-1">
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<div class="org-src-container">
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<pre class="src src-matlab">open('nass_model.slx');
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">initializeGround();
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initializeGranite();
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initializeTy();
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initializeRy();
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initializeRz();
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initializeMicroHexapod();
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initializeAxisc();
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initializeMirror();
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initializeSimscapeConfiguration();
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initializeDisturbances('enable', false);
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initializeLoggingConfiguration('log', 'none');
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initializeController('type', 'hac-dvf');
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</pre>
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<p>
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We set the stiffness of the payload fixation:
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</p>
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<div class="org-src-container">
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<pre class="src src-matlab">Kp = 1e8; % [N/m]
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">initializeNanoHexapod('k', 1e5, 'c', 2e2);
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Ms = 50;
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initializeSample('mass', Ms, 'freq', sqrt(Kp/Ms)/2/pi*ones(6,1));
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">initializeReferences('Rz_type', 'rotating-not-filtered', 'Rz_period', Ms);
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</pre>
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<div id="outline-container-org9b3405f" class="outline-3">
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<h3 id="org9b3405f"><span class="section-number-3">1.2</span> Control System</h3>
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<div class="outline-text-3" id="text-1-2">
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<div class="org-src-container">
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<pre class="src src-matlab">Kdvf = 5e3*s/(1+s/2/pi/1e3)*eye(6);
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">h = 2.0;
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Kl = 2e7 * eye(6) * ...
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1/h*(s/(2*pi*100/h) + 1)/(s/(2*pi*100*h) + 1) * ...
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1/h*(s/(2*pi*200/h) + 1)/(s/(2*pi*200*h) + 1) * ...
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(s/2/pi/10 + 1)/(s/2/pi/10) * ...
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1/(1 + s/2/pi/300);
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">load('mat/stages.mat', 'nano_hexapod');
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K = Kl*nano_hexapod.kinematics.J*diag([1, 1, 1, 1, 1, 0]);
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</pre>
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<pre class="src src-matlab">%% Run the linearization
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G = linearize(mdl, io);
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G.InputName = {'ndL1', 'ndL2', 'ndL3', 'ndL4', 'ndL5', 'ndL6'};
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G.OutputName = {'Ex', 'Ey', 'Ez', 'Erx', 'Ery', 'Erz'};
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</pre>
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<div id="outline-container-org4b1b358" class="outline-3">
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<h3 id="org4b1b358"><span class="section-number-3">1.3</span> Maximum induced vibration’s ASD</h3>
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<div class="outline-text-3" id="text-1-3">
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<p>
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Required maximum induced ASD of the sample’s vibration due to the relative motion sensor noise.
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\[ \bm{\Gamma}_x(\omega) = \begin{bmatrix} \Gamma_x(\omega) & \Gamma_y(\omega) & \Gamma_{R_x}(\omega) & \Gamma_{R_y}(\omega) \end{bmatrix} \]
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</p>
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<div class="org-src-container">
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<pre class="src src-matlab">Gamma_x = [(1e-9)/(1 + s/2/pi/100); % Dx
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(1e-9)/(1 + s/2/pi/100); % Dy
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(1e-9)/(1 + s/2/pi/100); % Dz
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(2e-8)/(1 + s/2/pi/100); % Rx
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(2e-8)/(1 + s/2/pi/100)]; % Ry
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</pre>
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<div class="org-src-container">
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<pre class="src src-matlab">freqs = logspace(0, 3, 1000);
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</pre>
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<p>
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Corresponding RMS value in [nm rms, nrad rms]
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</p>
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<pre class="src src-matlab">1e9*sqrt(trapz(freqs, (abs(squeeze(freqresp(Gamma_x, freqs, 'Hz')))').^2))
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</pre>
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<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
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<colgroup>
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<thead>
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<tr>
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<th scope="col" class="org-left"> </th>
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<th scope="col" class="org-right">Specifications</th>
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</thead>
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<tbody>
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<tr>
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<td class="org-left">Dx [nm]</td>
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<td class="org-right">12.1</td>
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</tr>
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<tr>
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<td class="org-left">Dy [nm]</td>
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<td class="org-right">12.1</td>
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<tr>
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<td class="org-left">Dz [nm]</td>
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<td class="org-right">12.1</td>
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<tr>
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<td class="org-left">Rx [nrad]</td>
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<td class="org-right">241.8</td>
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</tr>
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<tr>
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<td class="org-left">Ry [nrad]</td>
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<td class="org-right">241.8</td>
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</tbody>
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</table>
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<div id="outline-container-org446dbf5" class="outline-3">
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<h3 id="org446dbf5"><span class="section-number-3">1.4</span> Computation of the maximum relative motion sensor noise</h3>
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<div class="outline-text-3" id="text-1-4">
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<p>
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Let’s note \(G\) the transfer function from the 6 sensor noise \(n\) to the 6dof pose error \(x\).
|
||||||
|
We have:
|
||||||
|
\[ x_i = \sum_{j=1}^6 G_{ij}(s) n_j, \quad i = 1 \dots 5 \]
|
||||||
|
In terms of ASD:
|
||||||
|
\[ \Gamma_{x_i}(\omega) = \sum_{j=1}^6 |G_{ij}(j\omega)|^2 \Gamma_{n_j}(\omega), \quad i = 1 \dots 5 \]
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<p>
|
||||||
|
Let’s suppose that the ASD of all the sensor noise are equal:
|
||||||
|
\[ \Gamma_{n_j} = \Gamma_{n}, \quad j = 1 \dots 6 \]
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<p>
|
||||||
|
We then have an upper bound of the sensor noise for each of the considered motion errors:
|
||||||
|
\[ \Gamma_{n_i, \text{max}}(\omega) = \frac{\Gamma_{n_i}(\omega)}{\sum_{j=1}^6 |G_{ij}(j\omega)|^2}, \quad i = 1 \dots 5 \]
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div class="org-src-container">
|
||||||
|
<pre class="src src-matlab">Gamma_ndL = zeros(5, length(freqs));
|
||||||
|
for in = 1:5
|
||||||
|
Gamma_ndL(in, :) = abs(squeeze(freqresp(Gamma_x(in), freqs, 'Hz')))./sqrt(sum(abs(squeeze(freqresp(G(in, :), freqs, 'Hz'))).^2))';
|
||||||
|
end
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
|
||||||
|
<div id="orgf2f2139" class="figure">
|
||||||
|
<p><img src="figs/noise_budget_ndL_max_asd.png" alt="noise_budget_ndL_max_asd.png" />
|
||||||
|
</p>
|
||||||
|
<p><span class="figure-number">Figure 1: </span>Maximum estimated ASD of the relative motion sensor noise</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<p>
|
||||||
|
If the noise ASD of the relative motion sensor is bellow the maximum specified ASD for all the considered motion:
|
||||||
|
\[ \Gamma_n < \Gamma_{n_i, \text{max}}, \quad i = 1 \dots 5 \]
|
||||||
|
Then, the motion error due to sensor noise should be bellow the one specified.
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div class="org-src-container">
|
||||||
|
<pre class="src src-matlab">Gamma_ndL_max = min(Gamma_ndL(1:5, :));
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<p>
|
||||||
|
Let’s take a sensor with a white noise up to 1kHz that is bellow the specified one:
|
||||||
|
</p>
|
||||||
|
<div class="org-src-container">
|
||||||
|
<pre class="src src-matlab">Gamma_ndL_ex = abs(squeeze(freqresp(min(Gamma_ndL_max)/(1 + s/2/pi/1e3), freqs, 'Hz')));
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
|
||||||
|
<div id="org73ad463" class="figure">
|
||||||
|
<p><img src="figs/relative_motion_sensor_noise_ASD_example.png" alt="relative_motion_sensor_noise_ASD_example.png" />
|
||||||
|
</p>
|
||||||
|
<p><span class="figure-number">Figure 2: </span>Requirement maximum ASD of the sensor noise + example of a sensor validating the requirements</p>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<p>
|
||||||
|
The corresponding RMS value of the sensor noise taken as an example is [nm RMS]:
|
||||||
|
</p>
|
||||||
|
<div class="org-src-container">
|
||||||
|
<pre class="src src-matlab">1e9*sqrt(trapz(freqs, Gamma_ndL_max.^2))
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<pre class="example">
|
||||||
|
519.29
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<div id="outline-container-org65a9628" class="outline-3">
|
||||||
|
<h3 id="org65a9628"><span class="section-number-3">1.5</span> Verification of the induced motion error</h3>
|
||||||
|
<div class="outline-text-3" id="text-1-5">
|
||||||
|
<p>
|
||||||
|
Verify that by taking the sensor noise, we have to wanted displacement error
|
||||||
|
From the sensor noise PSD \(\Gamma_n(\omega)\), we can estimate the obtained displacement PSD \(\Gamma_x(\omega)\):
|
||||||
|
\[ \Gamma_{x,i}(\omega) = \sqrt{ \sum_{j=1}^{6} |G_{ij}|^2(j\omega) \Gamma_{n,j}^2(\omega) }, \quad i = 1 \dots 5 \]
|
||||||
|
</p>
|
||||||
|
|
||||||
|
<div class="org-src-container">
|
||||||
|
<pre class="src src-matlab">Gamma_xest = zeros(5, length(freqs));
|
||||||
|
|
||||||
|
for in = 1:5
|
||||||
|
Gamma_xest(in, :) = sqrt(sum(abs(squeeze(freqresp(G(in, :), freqs, 'Hz'))).^2.*Gamma_ndL_max.^2));
|
||||||
|
end
|
||||||
|
</pre>
|
||||||
|
</div>
|
||||||
|
|
||||||
|
<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
|
||||||
|
|
||||||
|
|
||||||
|
<colgroup>
|
||||||
|
<col class="org-left" />
|
||||||
|
|
||||||
|
<col class="org-right" />
|
||||||
|
|
||||||
|
<col class="org-right" />
|
||||||
|
</colgroup>
|
||||||
|
<thead>
|
||||||
|
<tr>
|
||||||
|
<th scope="col" class="org-left"> </th>
|
||||||
|
<th scope="col" class="org-right">Results</th>
|
||||||
|
<th scope="col" class="org-right">Specifications</th>
|
||||||
|
</tr>
|
||||||
|
</thead>
|
||||||
|
<tbody>
|
||||||
|
<tr>
|
||||||
|
<td class="org-left">Dx [nm]</td>
|
||||||
|
<td class="org-right">8.9</td>
|
||||||
|
<td class="org-right">12.1</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
<tr>
|
||||||
|
<td class="org-left">Dy [nm]</td>
|
||||||
|
<td class="org-right">9.3</td>
|
||||||
|
<td class="org-right">12.1</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
<tr>
|
||||||
|
<td class="org-left">Dz [nm]</td>
|
||||||
|
<td class="org-right">10.2</td>
|
||||||
|
<td class="org-right">12.1</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
<tr>
|
||||||
|
<td class="org-left">Rx [nrad]</td>
|
||||||
|
<td class="org-right">110.2</td>
|
||||||
|
<td class="org-right">241.8</td>
|
||||||
|
</tr>
|
||||||
|
|
||||||
|
<tr>
|
||||||
|
<td class="org-left">Ry [nrad]</td>
|
||||||
|
<td class="org-right">107.8</td>
|
||||||
|
<td class="org-right">241.8</td>
|
||||||
|
</tr>
|
||||||
|
</tbody>
|
||||||
|
</table>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
</div>
|
||||||
|
<div id="postamble" class="status">
|
||||||
|
<p class="author">Author: Dehaeze Thomas</p>
|
||||||
|
<p class="date">Created: 2020-07-31 ven. 17:58</p>
|
||||||
|
</div>
|
||||||
|
</body>
|
||||||
|
</html>
|
@ -72,6 +72,9 @@ Conclusion are drawn about what experimental conditions are critical on the vari
|
|||||||
In this document is studied how the flexible joint stiffnesses (in flexion, torsion and compression) is affecting the plant dynamics.
|
In this document is studied how the flexible joint stiffnesses (in flexion, torsion and compression) is affecting the plant dynamics.
|
||||||
Conclusion are drawn on the required stiffness properties of the flexible joints.
|
Conclusion are drawn on the required stiffness properties of the flexible joints.
|
||||||
|
|
||||||
|
* Dynamic Noise Budgeting ([[file:noise_budgeting.org][link]])
|
||||||
|
The maximum allowed noise of the sensors in the system are estimated using a Dynamic Noise Budgeting.
|
||||||
|
|
||||||
* Active Damping Techniques on the full Simscape Model ([[file:control_active_damping.org][link]])
|
* Active Damping Techniques on the full Simscape Model ([[file:control_active_damping.org][link]])
|
||||||
Active damping techniques are applied to the full Simscape model.
|
Active damping techniques are applied to the full Simscape model.
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user