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<div id="content">
<h1 class="title">Cercalo Test Bench</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#org7d7af99">1. Identification</a>
<ul>
<li><a href="#org720ab4f">1.1. Excitation Data</a></li>
<li><a href="#org2335cee">1.2. Input / Output data</a></li>
<li><a href="#orgddaeb4a">1.3. Estimation of the Frequency Response Function Matrix</a></li>
<li><a href="#org3d15257">1.4. Coherence</a></li>
<li><a href="#org891ffe6">1.5. Extraction of a transfer function matrix</a></li>
</ul>
</li>
<li><a href="#orgbb47804">2. Plant Analysis</a></li>
<li><a href="#org7348e54">3. Control</a></li>
</ul>
</div>
</div>
<div id="outline-container-org7d7af99" class="outline-2">
<h2 id="org7d7af99"><span class="section-number-2">1</span> Identification</h2>
<div class="outline-text-2" id="text-1">
<p>
<a id="org57da1c6"></a>
</p>
<div class="note">
<p>
All the files (data and Matlab scripts) are accessible <a href="data/plant_identification.zip">here</a>.
</p>
</div>
</div>
<div id="outline-container-org720ab4f" class="outline-3">
<h3 id="org720ab4f"><span class="section-number-3">1.1</span> Excitation Data</h3>
<div class="outline-text-3" id="text-1-1">
<div class="org-src-container">
<pre class="src src-matlab">fs = <span class="org-highlight-numbers-number">1e4</span>;
Ts = <span class="org-highlight-numbers-number">1</span><span class="org-type">/</span>fs;
</pre>
</div>
<p>
We generate white noise with the "random number" simulink block, and we filter that noise.
</p>
<div class="org-src-container">
<pre class="src src-matlab">Gi = <span class="org-rainbow-delimiters-depth-1">(</span><span class="org-highlight-numbers-number">1</span><span class="org-rainbow-delimiters-depth-1">)</span><span class="org-type">/</span><span class="org-rainbow-delimiters-depth-1">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">+</span>s<span class="org-type">/</span><span class="org-highlight-numbers-number">2</span><span class="org-type">/</span><span class="org-constant">pi</span><span class="org-type">/</span><span class="org-highlight-numbers-number">100</span><span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">c2d<span class="org-rainbow-delimiters-depth-1">(</span>Gi, Ts, <span class="org-string">'tustin'</span><span class="org-rainbow-delimiters-depth-1">)</span>
</pre>
</div>
<pre class="example">
c2d(Gi, Ts, 'tustin')
ans =
0.030459 (z+1)
--------------
(z-0.9391)
Sample time: 0.0001 seconds
Discrete-time zero/pole/gain model.
</pre>
</div>
</div>
<div id="outline-container-org2335cee" class="outline-3">
<h3 id="org2335cee"><span class="section-number-3">1.2</span> Input / Output data</h3>
<div class="outline-text-3" id="text-1-2">
<p>
The identification data is loaded
</p>
<div class="org-src-container">
<pre class="src src-matlab">ux = load<span class="org-rainbow-delimiters-depth-1">(</span><span class="org-string">'mat/data_ux.mat', 't', 'ux', 'yx', 'yy'</span><span class="org-rainbow-delimiters-depth-1">)</span>;
uy = load<span class="org-rainbow-delimiters-depth-1">(</span><span class="org-string">'mat/data_uy.mat', 't', 'uy', 'yx', 'yy'</span><span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<p>
We remove the first seconds where the Cercalo is turned on.
</p>
<div class="org-src-container">
<pre class="src src-matlab">i0x = <span class="org-highlight-numbers-number">20</span><span class="org-type">*</span>fs;
i0y = <span class="org-highlight-numbers-number">10</span><span class="org-type">*</span>fs;
ux.t = ux.t<span class="org-rainbow-delimiters-depth-1">(</span> i0x<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span> <span class="org-type">-</span> ux.t<span class="org-rainbow-delimiters-depth-1">(</span>i0x<span class="org-rainbow-delimiters-depth-1">)</span>;
ux.ux = ux.ux<span class="org-rainbow-delimiters-depth-1">(</span>i0x<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
ux.yx = ux.yx<span class="org-rainbow-delimiters-depth-1">(</span>i0x<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
ux.yy = ux.yy<span class="org-rainbow-delimiters-depth-1">(</span>i0x<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.t = uy.t<span class="org-rainbow-delimiters-depth-1">(</span> i0y<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span> <span class="org-type">-</span> uy.t<span class="org-rainbow-delimiters-depth-1">(</span>i0x<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.uy = uy.uy<span class="org-rainbow-delimiters-depth-1">(</span>i0y<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.yx = uy.yx<span class="org-rainbow-delimiters-depth-1">(</span>i0y<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.yy = uy.yy<span class="org-rainbow-delimiters-depth-1">(</span>i0y<span class="org-type">:</span>end<span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">ux.ux = ux.ux<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>ux.ux<span class="org-rainbow-delimiters-depth-1">)</span>;
ux.yx = ux.yx<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>ux.yx<span class="org-rainbow-delimiters-depth-1">)</span>;
ux.yy = ux.yy<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>ux.yy<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.ux = uy.ux<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>uy.ux<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.yx = uy.yx<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>uy.yx<span class="org-rainbow-delimiters-depth-1">)</span>;
uy.yy = uy.yy<span class="org-type">-</span>mean<span class="org-rainbow-delimiters-depth-1">(</span>uy.yy<span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<div id="orgfbb461b" class="figure">
<p><img src="figs/identification_ux.png" alt="identification_ux.png" />
</p>
<p><span class="figure-number">Figure 1: </span>Identification signals when exciting the \(x\) axis (<a href="./figs/identification_ux.png">png</a>, <a href="./figs/identification_ux.pdf">pdf</a>)</p>
</div>
<div id="orgdfdfab9" class="figure">
<p><img src="figs/identification_uy.png" alt="identification_uy.png" />
</p>
<p><span class="figure-number">Figure 2: </span>Identification signals when exciting the \(y\) axis (<a href="./figs/identification_uy.png">png</a>, <a href="./figs/identification_uy.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-orgddaeb4a" class="outline-3">
<h3 id="orgddaeb4a"><span class="section-number-3">1.3</span> Estimation of the Frequency Response Function Matrix</h3>
<div class="outline-text-3" id="text-1-3">
<p>
We compute an estimate of the transfer functions.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-rainbow-delimiters-depth-1">[</span>tf_ux_yx, f<span class="org-rainbow-delimiters-depth-1">]</span> = tfestimate<span class="org-rainbow-delimiters-depth-1">(</span>ux.ux, ux.yx, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>tf_ux_yy, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = tfestimate<span class="org-rainbow-delimiters-depth-1">(</span>ux.ux, ux.yy, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>tf_uy_yx, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = tfestimate<span class="org-rainbow-delimiters-depth-1">(</span>uy.uy, uy.yx, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>tf_uy_yy, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = tfestimate<span class="org-rainbow-delimiters-depth-1">(</span>uy.uy, uy.yy, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<div id="orga43b16c" class="figure">
<p><img src="figs/frequency_response_matrix.png" alt="frequency_response_matrix.png" />
</p>
<p><span class="figure-number">Figure 3: </span>Frequency Response Matrix (<a href="./figs/frequency_response_matrix.png">png</a>, <a href="./figs/frequency_response_matrix.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org3d15257" class="outline-3">
<h3 id="org3d15257"><span class="section-number-3">1.4</span> Coherence</h3>
<div class="outline-text-3" id="text-1-4">
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-rainbow-delimiters-depth-1">[</span>coh_ux_yx, f<span class="org-rainbow-delimiters-depth-1">]</span> = mscohere<span class="org-rainbow-delimiters-depth-1">(</span>ux.ux, ux.yx, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>coh_ux_yy, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = mscohere<span class="org-rainbow-delimiters-depth-1">(</span>ux.ux, ux.yy, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>coh_uy_yx, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = mscohere<span class="org-rainbow-delimiters-depth-1">(</span>uy.uy, uy.yx, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-rainbow-delimiters-depth-1">[</span>coh_uy_yy, <span class="org-type">~</span><span class="org-rainbow-delimiters-depth-1">]</span> = mscohere<span class="org-rainbow-delimiters-depth-1">(</span>uy.uy, uy.yy, hanning<span class="org-rainbow-delimiters-depth-2">(</span>ceil<span class="org-rainbow-delimiters-depth-3">(</span><span class="org-highlight-numbers-number">1</span><span class="org-type">*</span>fs<span class="org-rainbow-delimiters-depth-3">)</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, <span class="org-rainbow-delimiters-depth-2">[]</span>, fs<span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<div id="org02b2d5b" class="figure">
<p><img src="figs/identification_coherence.png" alt="identification_coherence.png" />
</p>
<p><span class="figure-number">Figure 4: </span>Coherence (<a href="./figs/identification_coherence.png">png</a>, <a href="./figs/identification_coherence.pdf">pdf</a>)</p>
</div>
</div>
</div>
<div id="outline-container-org891ffe6" class="outline-3">
<h3 id="org891ffe6"><span class="section-number-3">1.5</span> Extraction of a transfer function matrix</h3>
<div class="outline-text-3" id="text-1-5">
<p>
First we define the initial guess for the resonance frequencies and the weights associated.
</p>
<div class="org-src-container">
<pre class="src src-matlab">freqs_res = <span class="org-rainbow-delimiters-depth-1">[</span><span class="org-highlight-numbers-number">410</span>, <span class="org-highlight-numbers-number">250</span><span class="org-rainbow-delimiters-depth-1">]</span>; <span class="org-comment">% [Hz]</span>
freqs_res_weights = <span class="org-rainbow-delimiters-depth-1">[</span><span class="org-highlight-numbers-number">10</span>, <span class="org-highlight-numbers-number">10</span><span class="org-rainbow-delimiters-depth-1">]</span>; <span class="org-comment">% [Hz]</span>
</pre>
</div>
<p>
From the number of resonance frequency we want to fit, we define the order <code>N</code> of the system we want to obtain.
</p>
<div class="org-src-container">
<pre class="src src-matlab">N = <span class="org-highlight-numbers-number">2</span><span class="org-type">*</span>length<span class="org-rainbow-delimiters-depth-1">(</span>freqs_res<span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
<p>
We then make an initial guess on the complex values of the poles.
</p>
<div class="org-src-container">
<pre class="src src-matlab">xi = <span class="org-highlight-numbers-number">0</span>.<span class="org-highlight-numbers-number">001</span>; <span class="org-comment">% Approximate modal damping</span>
poles = <span class="org-rainbow-delimiters-depth-1">[</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>freqs_res<span class="org-type">*</span><span class="org-rainbow-delimiters-depth-2">(</span>xi <span class="org-type">+</span> <span class="org-highlight-numbers-number">1i</span><span class="org-rainbow-delimiters-depth-2">)</span>, <span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>freqs_res<span class="org-type">*</span><span class="org-rainbow-delimiters-depth-2">(</span>xi <span class="org-type">-</span> <span class="org-highlight-numbers-number">1i</span><span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">]</span>;
</pre>
</div>
<p>
We then define the weight that will be used for the fitting.
Basically, we want more weight around the resonance and at low frequency (below the first resonance).
Also, we want more importance where we have a better coherence.
</p>
<div class="org-src-container">
<pre class="src src-matlab">weight = ones<span class="org-rainbow-delimiters-depth-1">(</span><span class="org-highlight-numbers-number">1</span>, length<span class="org-rainbow-delimiters-depth-2">(</span>f<span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-comment">% weight = G_coh';</span>
% alpha = <span class="org-highlight-numbers-number">0</span>.<span class="org-highlight-numbers-number">1</span>;
% <span class="org-keyword">for</span> <span class="org-variable-name">freq_i</span> = <span class="org-constant"><span class="org-highlight-numbers-number">1</span></span><span class="org-constant">:length(freqs_res)</span>
% weight(f<span class="org-type">&gt;</span>(<span class="org-highlight-numbers-number">1</span><span class="org-type">-</span>alpha)<span class="org-type">*</span>freqs_res(freq_i) <span class="org-type">&amp;</span> omega<span class="org-type">&lt;</span>(<span class="org-highlight-numbers-number">1</span> <span class="org-type">+</span> alpha)<span class="org-type">*</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>freqs_res(freq_i)) = freqs_res_weights(freq_i);
<span class="org-comment">% end</span>
</pre>
</div>
<p>
Ignore data above some frequency.
</p>
<div class="org-src-container">
<pre class="src src-matlab">weight<span class="org-rainbow-delimiters-depth-1">(</span>f<span class="org-type">&gt;</span><span class="org-highlight-numbers-number">1000</span><span class="org-rainbow-delimiters-depth-1">)</span> = <span class="org-highlight-numbers-number">0</span>;
</pre>
</div>
<div id="orga5e5efc" class="figure">
<p><img src="figs/weights.png" alt="weights.png" />
</p>
<p><span class="figure-number">Figure 5: </span>Weights amplitude (<a href="./figs/weights.png">png</a>, <a href="./figs/weights.pdf">pdf</a>)</p>
</div>
<p>
When we set some options for <code>vfit3</code>.
</p>
<div class="org-src-container">
<pre class="src src-matlab">opts = struct<span class="org-rainbow-delimiters-depth-1">()</span>;
opts.stable = <span class="org-highlight-numbers-number">1</span>; <span class="org-comment">% Enforce stable poles</span>
opts.asymp = <span class="org-highlight-numbers-number">1</span>; <span class="org-comment">% Force D matrix to be null</span>
opts.relax = <span class="org-highlight-numbers-number">1</span>; <span class="org-comment">% Use vector fitting with relaxed non-triviality constraint</span>
opts.skip_pole = <span class="org-highlight-numbers-number">0</span>; <span class="org-comment">% Do NOT skip pole identification</span>
opts.skip_res = <span class="org-highlight-numbers-number">0</span>; <span class="org-comment">% Do NOT skip identification of residues (C,D,E)</span>
opts.cmplx_ss = <span class="org-highlight-numbers-number">0</span>; <span class="org-comment">% Create real state space model with block diagonal A</span>
opts.spy1 = <span class="org-highlight-numbers-number">0</span>; <span class="org-comment">% No plotting for first stage of vector fitting</span>
opts.spy2 = <span class="org-highlight-numbers-number">0</span>; <span class="org-comment">% Create magnitude plot for fitting of f(s)</span>
</pre>
</div>
<p>
We define the number of iteration.
</p>
<div class="org-src-container">
<pre class="src src-matlab">Niter = <span class="org-highlight-numbers-number">5</span>;
</pre>
</div>
<p>
An we run the <code>vectfit3</code> algorithm.
</p>
<div class="org-src-container">
<pre class="src src-matlab"><span class="org-keyword">for</span> <span class="org-variable-name">iter</span> = <span class="org-constant"><span class="org-highlight-numbers-number">1</span></span><span class="org-constant">:Niter</span>
<span class="org-rainbow-delimiters-depth-1">[</span>SER_ux_yx, poles, <span class="org-type">~</span>, fit_ux_yx<span class="org-rainbow-delimiters-depth-1">]</span> = vectfit3<span class="org-rainbow-delimiters-depth-1">(</span>tf_ux_yx<span class="org-type">.'</span>, <span class="org-highlight-numbers-number">1i</span><span class="org-type">*</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>f, poles, weight, opts<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-keyword">end</span>
<span class="org-keyword">for</span> <span class="org-variable-name">iter</span> = <span class="org-constant"><span class="org-highlight-numbers-number">1</span></span><span class="org-constant">:Niter</span>
<span class="org-rainbow-delimiters-depth-1">[</span>SER_uy_yx, poles, <span class="org-type">~</span>, fit_uy_yx<span class="org-rainbow-delimiters-depth-1">]</span> = vectfit3<span class="org-rainbow-delimiters-depth-1">(</span>tf_uy_yx<span class="org-type">.'</span>, <span class="org-highlight-numbers-number">1i</span><span class="org-type">*</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>f, poles, weight, opts<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-keyword">end</span>
<span class="org-keyword">for</span> <span class="org-variable-name">iter</span> = <span class="org-constant"><span class="org-highlight-numbers-number">1</span></span><span class="org-constant">:Niter</span>
<span class="org-rainbow-delimiters-depth-1">[</span>SER_ux_yy, poles, <span class="org-type">~</span>, fit_ux_yy<span class="org-rainbow-delimiters-depth-1">]</span> = vectfit3<span class="org-rainbow-delimiters-depth-1">(</span>tf_ux_yy<span class="org-type">.'</span>, <span class="org-highlight-numbers-number">1i</span><span class="org-type">*</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>f, poles, weight, opts<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-keyword">end</span>
<span class="org-keyword">for</span> <span class="org-variable-name">iter</span> = <span class="org-constant"><span class="org-highlight-numbers-number">1</span></span><span class="org-constant">:Niter</span>
<span class="org-rainbow-delimiters-depth-1">[</span>SER_uy_yy, poles, <span class="org-type">~</span>, fit_uy_yy<span class="org-rainbow-delimiters-depth-1">]</span> = vectfit3<span class="org-rainbow-delimiters-depth-1">(</span>tf_uy_yy<span class="org-type">.'</span>, <span class="org-highlight-numbers-number">1i</span><span class="org-type">*</span><span class="org-highlight-numbers-number">2</span><span class="org-type">*</span><span class="org-constant">pi</span><span class="org-type">*</span>f, poles, weight, opts<span class="org-rainbow-delimiters-depth-1">)</span>;
<span class="org-keyword">end</span>
</pre>
</div>
<div id="org690224b" class="figure">
<p><img src="figs/identification_matrix_fit.png" alt="identification_matrix_fit.png" />
</p>
<p><span class="figure-number">Figure 6: </span>Transfer Function Extraction of the FRF matrix (<a href="./figs/identification_matrix_fit.png">png</a>, <a href="./figs/identification_matrix_fit.pdf">pdf</a>)</p>
</div>
<p>
And finally, we create the identified state space model:
</p>
<div class="org-src-container">
<pre class="src src-matlab">G_ux_yx = minreal<span class="org-rainbow-delimiters-depth-1">(</span>ss<span class="org-rainbow-delimiters-depth-2">(</span>full<span class="org-rainbow-delimiters-depth-3">(</span>SER_ux_yx.A<span class="org-rainbow-delimiters-depth-3">)</span>,SER_ux_yx.B,SER_ux_yx.C,SER_ux_yx.D<span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">)</span>;
G_uy_yx = minreal<span class="org-rainbow-delimiters-depth-1">(</span>ss<span class="org-rainbow-delimiters-depth-2">(</span>full<span class="org-rainbow-delimiters-depth-3">(</span>SER_uy_yx.A<span class="org-rainbow-delimiters-depth-3">)</span>,SER_uy_yx.B,SER_uy_yx.C,SER_uy_yx.D<span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">)</span>;
G_ux_yy = minreal<span class="org-rainbow-delimiters-depth-1">(</span>ss<span class="org-rainbow-delimiters-depth-2">(</span>full<span class="org-rainbow-delimiters-depth-3">(</span>SER_ux_yy.A<span class="org-rainbow-delimiters-depth-3">)</span>,SER_ux_yy.B,SER_ux_yy.C,SER_ux_yy.D<span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">)</span>;
G_uy_yy = minreal<span class="org-rainbow-delimiters-depth-1">(</span>ss<span class="org-rainbow-delimiters-depth-2">(</span>full<span class="org-rainbow-delimiters-depth-3">(</span>SER_uy_yy.A<span class="org-rainbow-delimiters-depth-3">)</span>,SER_uy_yy.B,SER_uy_yy.C,SER_uy_yy.D<span class="org-rainbow-delimiters-depth-2">)</span><span class="org-rainbow-delimiters-depth-1">)</span>;
G = <span class="org-rainbow-delimiters-depth-1">[</span>G_ux_yx, G_uy_yx;
G_ux_yy, G_uy_yy<span class="org-rainbow-delimiters-depth-1">]</span>;
</pre>
</div>
<div class="org-src-container">
<pre class="src src-matlab">save<span class="org-rainbow-delimiters-depth-1">(</span><span class="org-string">'mat/plant.mat', 'G'</span><span class="org-rainbow-delimiters-depth-1">)</span>;
</pre>
</div>
</div>
</div>
</div>
<div id="outline-container-orgbb47804" class="outline-2">
<h2 id="orgbb47804"><span class="section-number-2">2</span> Plant Analysis</h2>
</div>
<div id="outline-container-org7348e54" class="outline-2">
<h2 id="org7348e54"><span class="section-number-2">3</span> Control</h2>
</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
<p class="date">Created: 2019-09-11 mer. 09:10</p>
<p class="validation"><a href="http://validator.w3.org/check?uri=referer">Validate</a></p>
</div>
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