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<!-- 2020-11-10 mar. 12:55 -->
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<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
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<title>Piezoelectric Force Sensor - Test Bench</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">Piezoelectric Force Sensor - Test Bench</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="#orga1465ad">1. Change of Stiffness due to Sensors stack being open/closed circuit</a>
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<ul>
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<li><a href="#orgd924c73">1.1. Load Data</a></li>
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<li><a href="#org59cc20a">1.2. Transfer Functions</a></li>
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</ul>
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</li>
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<li><a href="#org76a1832">2. Generated Number of Charge / Voltage</a>
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<ul>
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<li><a href="#org1fa991d">2.1. Steps</a></li>
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<li><a href="#org5e9eb44">2.2. Add Parallel Resistor</a></li>
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<li><a href="#org15676e1">2.3. Sinus</a></li>
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</ul>
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</li>
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</ul>
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</div>
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</div>
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<p>
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In this document is studied how a piezoelectric stack can be used to measured the force.
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</p>
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<ul class="org-ul">
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<li>Section <a href="#org887b61a">1</a>: the effect of the input impedance of the electronics connected to the force sensor stack on the stiffness of the stack is studied</li>
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<li>Section <a href="#org2b5f630">2</a>:</li>
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</ul>
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<div id="outline-container-orga1465ad" class="outline-2">
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<h2 id="orga1465ad"><span class="section-number-2">1</span> Change of Stiffness due to Sensors stack being open/closed circuit</h2>
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<h3 id="orgd924c73"><span class="section-number-3">1.1</span> Load Data</h3>
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|
||||
<pre class="src src-matlab">oc = load(<span class="org-string">'identification_open_circuit.mat'</span>, <span class="org-string">'t'</span>, <span class="org-string">'encoder'</span>, <span class="org-string">'u'</span>);
|
||||
sc = load(<span class="org-string">'identification_short_circuit.mat'</span>, <span class="org-string">'t'</span>, <span class="org-string">'encoder'</span>, <span class="org-string">'u'</span>);
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org59cc20a" class="outline-3">
|
||||
<h3 id="org59cc20a"><span class="section-number-3">1.2</span> Transfer Functions</h3>
|
||||
<div class="outline-text-3" id="text-1-2">
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">Ts = 1e<span class="org-type">-</span>4; <span class="org-comment">% Sampling Time [s]</span>
|
||||
win = hann(ceil(10<span class="org-type">/</span>Ts));
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">[tf_oc_est, f] = tfestimate(oc.u, oc.encoder, win, [], [], 1<span class="org-type">/</span>Ts);
|
||||
[co_oc_est, <span class="org-type">~</span>] = mscohere( oc.u, oc.encoder, win, [], [], 1<span class="org-type">/</span>Ts);
|
||||
|
||||
[tf_sc_est, <span class="org-type">~</span>] = tfestimate(sc.u, sc.encoder, win, [], [], 1<span class="org-type">/</span>Ts);
|
||||
[co_sc_est, <span class="org-type">~</span>] = mscohere( sc.u, sc.encoder, win, [], [], 1<span class="org-type">/</span>Ts);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org3c75143" class="figure">
|
||||
<p><img src="figs/stiffness_force_sensor_coherence.png" alt="stiffness_force_sensor_coherence.png" />
|
||||
</p>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
<div id="org4424b1c" class="figure">
|
||||
<p><img src="figs/stiffness_force_sensor_bode.png" alt="stiffness_force_sensor_bode.png" />
|
||||
</p>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org216fcc3" class="figure">
|
||||
<p><img src="figs/stiffness_force_sensor_bode_zoom.png" alt="stiffness_force_sensor_bode_zoom.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 3: </span>Zoom on the change of resonance</p>
|
||||
</div>
|
||||
|
||||
<div class="important" id="org9ea3712">
|
||||
<p>
|
||||
The change of resonance frequency / stiffness is very small and is not important here.
|
||||
</p>
|
||||
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org76a1832" class="outline-2">
|
||||
<h2 id="org76a1832"><span class="section-number-2">2</span> Generated Number of Charge / Voltage</h2>
|
||||
<div class="outline-text-2" id="text-2">
|
||||
<p>
|
||||
<a id="org2b5f630"></a>
|
||||
</p>
|
||||
<p>
|
||||
Two stacks are used as actuator (in parallel) and one stack is used as sensor.
|
||||
</p>
|
||||
|
||||
<p>
|
||||
The amplifier gain is 20V/V (Cedrat LA75B).
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org1fa991d" class="outline-3">
|
||||
<h3 id="org1fa991d"><span class="section-number-3">2.1</span> Steps</h3>
|
||||
<div class="outline-text-3" id="text-2-1">
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">load(<span class="org-string">'force_sensor_steps.mat'</span>, <span class="org-string">'t'</span>, <span class="org-string">'encoder'</span>, <span class="org-string">'u'</span>, <span class="org-string">'v'</span>);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab"><span class="org-type">figure</span>;
|
||||
tiledlayout(2, 1, <span class="org-string">'TileSpacing'</span>, <span class="org-string">'None'</span>, <span class="org-string">'Padding'</span>, <span class="org-string">'None'</span>);
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel(<span class="org-string">'Time [s]'</span>); ylabel(<span class="org-string">'Measured voltage [V]'</span>);
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel(<span class="org-string">'Time [s]'</span>); ylabel(<span class="org-string">'Actuator Voltage [V]'</span>);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="orgf889803" class="figure">
|
||||
<p><img src="figs/force_sen_steps_time_domain.png" alt="force_sen_steps_time_domain.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 4: </span>Time domain signal during the 3 actuator voltage steps</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
Three steps are performed at the following time intervals:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">t_s = [ 2.5, 23;
|
||||
23.8, 35;
|
||||
35.8, 50];
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
Fit function:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">f = @(b,x) b(1)<span class="org-type">.*</span>exp(b(2)<span class="org-type">.*</span>x) <span class="org-type">+</span> b(3);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
We are interested by the <code>b(2)</code> term, which is the time constant of the exponential.
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab"><span class="org-keyword">for</span> <span class="org-variable-name">t_i</span> = <span class="org-constant">1:size(t_s, 1)</span>
|
||||
t_cur = t(t_s(t_i, 1) <span class="org-type"><</span> t <span class="org-type">&</span> t <span class="org-type"><</span> t_s(t_i, 2));
|
||||
t_cur = t_cur <span class="org-type">-</span> t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) <span class="org-type"><</span> t <span class="org-type">&</span> t <span class="org-type"><</span> t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur <span class="org-type">-</span> f(b,t_cur)); <span class="org-comment">% Residual Norm Cost Function</span>
|
||||
B0 = [0.5, <span class="org-type">-</span>0.15, 2.2]; <span class="org-comment">% Choose Appropriate Initial Estimates</span>
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); <span class="org-comment">% Estimate Parameters ‘B’</span>
|
||||
|
||||
tau(t_i) = 1<span class="org-type">/</span>B(2);
|
||||
V0(t_i) = B(3);
|
||||
<span class="org-keyword">end</span>
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
|
||||
|
||||
|
||||
<colgroup>
|
||||
<col class="org-right" />
|
||||
|
||||
<col class="org-right" />
|
||||
</colgroup>
|
||||
<thead>
|
||||
<tr>
|
||||
<th scope="col" class="org-right">\(tau\) [s]</th>
|
||||
<th scope="col" class="org-right">\(V_0\) [V]</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td class="org-right">6.47</td>
|
||||
<td class="org-right">2.26</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">6.76</td>
|
||||
<td class="org-right">2.26</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">6.49</td>
|
||||
<td class="org-right">2.25</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
<p>
|
||||
With the capacitance being \(C = 4.4 \mu F\), the internal impedance of the Speedgoat ADC can be computed as follows:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">Cp = 4.4e<span class="org-type">-</span>6; <span class="org-comment">% [F]</span>
|
||||
Rin = abs(mean(tau))<span class="org-type">/</span>Cp;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
1494100.0
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
The input impedance of the Speedgoat’s ADC should then be close to \(1.5\,M\Omega\) (specified at \(1\,M\Omega\)).
|
||||
</p>
|
||||
|
||||
<div class="important" id="org572654b">
|
||||
<p>
|
||||
How can we explain the voltage offset?
|
||||
</p>
|
||||
|
||||
</div>
|
||||
|
||||
<p>
|
||||
As shown in Figure <a href="#org7c2c57f">5</a> (taken from (<a href="#citeproc_bib_item_1">Reza and Andrew 2006</a>)), an input voltage offset is due to the input bias current \(i_n\).
|
||||
</p>
|
||||
|
||||
|
||||
<div id="org7c2c57f" class="figure">
|
||||
<p><img src="figs/force_sensor_model_electronics.png" alt="force_sensor_model_electronics.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 5: </span>Model of a piezoelectric transducer (left) and instrumentation amplifier (right)</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The estimated input bias current is then:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">in = mean(V0)<span class="org-type">/</span>Rin;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
1.5119e-06
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
An additional resistor in parallel with \(R_{in}\) would have two effects:
|
||||
</p>
|
||||
<ul class="org-ul">
|
||||
<li>reduce the input voltage offset
|
||||
\[ V_{off} = \frac{R_a R_{in}}{R_a + R_{in}} i_n \]</li>
|
||||
<li>increase the high pass corner frequency \(f_c\)
|
||||
\[ C_p \frac{R_{in}R_a}{R_{in} + R_a} = \tau_c = \frac{1}{f_c} \]
|
||||
\[ R_a = \frac{R_i}{f_c C_p R_i - 1} \]</li>
|
||||
</ul>
|
||||
|
||||
|
||||
<p>
|
||||
If we allow the high pass corner frequency to be equals to 3Hz:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">fc = 3;
|
||||
Ra = Rin<span class="org-type">/</span>(fc<span class="org-type">*</span>Cp<span class="org-type">*</span>Rin <span class="org-type">-</span> 1);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
79804
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
With this parallel resistance value, the voltage offset would be:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">V_offset = Ra<span class="org-type">*</span>Rin<span class="org-type">/</span>(Ra <span class="org-type">+</span> Rin) <span class="org-type">*</span> in;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
0.11454
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
Which is much more acceptable.
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org5e9eb44" class="outline-3">
|
||||
<h3 id="org5e9eb44"><span class="section-number-3">2.2</span> Add Parallel Resistor</h3>
|
||||
<div class="outline-text-3" id="text-2-2">
|
||||
<p>
|
||||
A resistor \(R_p \approx 100\,k\Omega\) is added in parallel with the force sensor as shown in Figure <a href="#org1fac5a7">6</a>.
|
||||
</p>
|
||||
|
||||
|
||||
<div id="org1fac5a7" class="figure">
|
||||
<p><img src="figs/force_sensor_model_electronics_without_R.png" alt="force_sensor_model_electronics_without_R.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 6: </span>Model of a piezoelectric transducer (left) and instrumentation amplifier (right) with added resistor \(R_p\)</p>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">load(<span class="org-string">'force_sensor_steps_R_82k7.mat'</span>, <span class="org-string">'t'</span>, <span class="org-string">'encoder'</span>, <span class="org-string">'u'</span>, <span class="org-string">'v'</span>);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab"><span class="org-type">figure</span>;
|
||||
tiledlayout(2, 1, <span class="org-string">'TileSpacing'</span>, <span class="org-string">'None'</span>, <span class="org-string">'Padding'</span>, <span class="org-string">'None'</span>);
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel(<span class="org-string">'Time [s]'</span>); ylabel(<span class="org-string">'Measured voltage [V]'</span>);
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel(<span class="org-string">'Time [s]'</span>); ylabel(<span class="org-string">'Actuator Voltage [V]'</span>);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org29964b5" class="figure">
|
||||
<p><img src="figs/force_sen_steps_time_domain_par_R.png" alt="force_sen_steps_time_domain_par_R.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 7: </span>Time domain signal during the actuator voltage steps</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
Three steps are performed at the following time intervals:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">t_s = [1.9, 6;
|
||||
8.5, 13;
|
||||
15.5, 21;
|
||||
22.6, 26;
|
||||
30.0, 36;
|
||||
37.5, 41;
|
||||
46.2, 49.5]
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
Fit function:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">f = @(b,x) b(1)<span class="org-type">.*</span>exp(b(2)<span class="org-type">.*</span>x) <span class="org-type">+</span> b(3);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
We are interested by the <code>b(2)</code> term, which is the time constant of the exponential.
|
||||
</p>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab"><span class="org-keyword">for</span> <span class="org-variable-name">t_i</span> = <span class="org-constant">1:size(t_s, 1)</span>
|
||||
t_cur = t(t_s(t_i, 1) <span class="org-type"><</span> t <span class="org-type">&</span> t <span class="org-type"><</span> t_s(t_i, 2));
|
||||
t_cur = t_cur <span class="org-type">-</span> t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) <span class="org-type"><</span> t <span class="org-type">&</span> t <span class="org-type"><</span> t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur <span class="org-type">-</span> f(b,t_cur)); <span class="org-comment">% Residual Norm Cost Function</span>
|
||||
B0 = [0.5, <span class="org-type">-</span>0.2, 0.2]; <span class="org-comment">% Choose Appropriate Initial Estimates</span>
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); <span class="org-comment">% Estimate Parameters ‘B’</span>
|
||||
|
||||
tau(t_i) = 1<span class="org-type">/</span>B(2);
|
||||
V0(t_i) = B(3);
|
||||
<span class="org-keyword">end</span>
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
And indeed, we obtain a much smaller offset voltage and a much faster time constant.
|
||||
</p>
|
||||
|
||||
<table border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
|
||||
|
||||
|
||||
<colgroup>
|
||||
<col class="org-right" />
|
||||
|
||||
<col class="org-right" />
|
||||
</colgroup>
|
||||
<thead>
|
||||
<tr>
|
||||
<th scope="col" class="org-right">\(tau\) [s]</th>
|
||||
<th scope="col" class="org-right">\(V_0\) [V]</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td class="org-right">0.43</td>
|
||||
<td class="org-right">0.15</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.45</td>
|
||||
<td class="org-right">0.16</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.43</td>
|
||||
<td class="org-right">0.15</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.43</td>
|
||||
<td class="org-right">0.15</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.45</td>
|
||||
<td class="org-right">0.15</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.46</td>
|
||||
<td class="org-right">0.16</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<td class="org-right">0.48</td>
|
||||
<td class="org-right">0.16</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
|
||||
<p>
|
||||
Knowing the capacitance value, we can estimate the value of the added resistor (neglecting the input impedance of \(\approx 1\,M\Omega\)):
|
||||
</p>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">Cp = 4.4e<span class="org-type">-</span>6; <span class="org-comment">% [F]</span>
|
||||
Rin = abs(mean(tau))<span class="org-type">/</span>Cp;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
101200.0
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
And we can verify that the bias current estimation stays the same:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">in = mean(V0)<span class="org-type">/</span>Rin;
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
1.5305e-06
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
This validates the model of the ADC and the effectiveness of the added resistor.
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div id="outline-container-org15676e1" class="outline-3">
|
||||
<h3 id="org15676e1"><span class="section-number-3">2.3</span> Sinus</h3>
|
||||
<div class="outline-text-3" id="text-2-3">
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">load(<span class="org-string">'force_sensor_sin.mat'</span>, <span class="org-string">'t'</span>, <span class="org-string">'encoder'</span>, <span class="org-string">'u'</span>, <span class="org-string">'v'</span>);
|
||||
|
||||
u = u(t<span class="org-type">></span>25);
|
||||
v = v(t<span class="org-type">></span>25);
|
||||
encoder = encoder(t<span class="org-type">></span>25) <span class="org-type">-</span> mean(encoder(t<span class="org-type">></span>25));
|
||||
t = t(t<span class="org-type">></span>25);
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The driving voltage is a sinus at 0.5Hz centered on 3V and with an amplitude of 3V (Figure <a href="#org1fbf89d">8</a>).
|
||||
</p>
|
||||
|
||||
|
||||
<div id="org1fbf89d" class="figure">
|
||||
<p><img src="figs/force_sensor_sin_u.png" alt="force_sensor_sin_u.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 8: </span>Driving Voltage</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The full stroke as measured by the encoder is:
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">max(encoder)<span class="org-type">-</span>min(encoder)
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
5.005e-05
|
||||
</pre>
|
||||
|
||||
|
||||
<p>
|
||||
Its signal is shown in Figure <a href="#org1d74efa">9</a>.
|
||||
</p>
|
||||
|
||||
|
||||
<div id="org1d74efa" class="figure">
|
||||
<p><img src="figs/force_sensor_sin_encoder.png" alt="force_sensor_sin_encoder.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 9: </span>Encoder measurement</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The generated voltage by the stack is shown in Figure
|
||||
</p>
|
||||
|
||||
|
||||
<div id="org077a6d7" class="figure">
|
||||
<p><img src="figs/force_sensor_sin_stack.png" alt="force_sensor_sin_stack.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 10: </span>Voltage measured on the stack used as a sensor</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The capacitance of the stack is
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">Cp = 4.4e<span class="org-type">-</span>6; <span class="org-comment">% [F]</span>
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
The corresponding generated charge is then shown in Figure <a href="#org4baf062">11</a>.
|
||||
</p>
|
||||
|
||||
<div id="org4baf062" class="figure">
|
||||
<p><img src="figs/force_sensor_sin_charge.png" alt="force_sensor_sin_charge.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 11: </span>Generated Charge</p>
|
||||
</div>
|
||||
|
||||
|
||||
<p>
|
||||
The relation between the generated voltage and the measured displacement is almost linear as shown in Figure <a href="#org8b9df34">12</a>.
|
||||
</p>
|
||||
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">b1 = encoder<span class="org-type">\</span>(v<span class="org-type">-</span>mean(v));
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="org8b9df34" class="figure">
|
||||
<p><img src="figs/force_sensor_linear_relation.png" alt="force_sensor_linear_relation.png" />
|
||||
</p>
|
||||
<p><span class="figure-number">Figure 12: </span>Almost linear relation between the relative displacement and the generated voltage</p>
|
||||
</div>
|
||||
|
||||
<p>
|
||||
With a 16bits ADC, the resolution will then be equals to (in [nm]):
|
||||
</p>
|
||||
<div class="org-src-container">
|
||||
<pre class="src src-matlab">abs((20<span class="org-type">/</span>2<span class="org-type">^</span>16)<span class="org-type">/</span>(b1<span class="org-type">/</span>1e9))
|
||||
</pre>
|
||||
</div>
|
||||
|
||||
<pre class="example">
|
||||
3.9838
|
||||
</pre>
|
||||
|
||||
|
||||
<style>.csl-entry{text-indent: -1.5em; margin-left: 1.5em;}</style><h2 class='citeproc-org-bib-h2'>Bibliography</h2>
|
||||
<div class="csl-bib-body">
|
||||
<div class="csl-entry"><a name="citeproc_bib_item_1"></a>Reza, Moheimani, and Fleming Andrew. 2006. <i>Piezoelectric Transducers for Vibration Control and Damping</i>. London: Springer.</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="postamble" class="status">
|
||||
<p class="author">Author: Dehaeze Thomas</p>
|
||||
<p class="date">Created: 2020-11-10 mar. 12:55</p>
|
||||
</div>
|
||||
</body>
|
||||
</html>
|
||||
@@ -0,0 +1,568 @@
|
||||
#+TITLE: Piezoelectric Force Sensor - Test Bench
|
||||
:DRAWER:
|
||||
#+LANGUAGE: en
|
||||
#+EMAIL: dehaeze.thomas@gmail.com
|
||||
#+AUTHOR: Dehaeze Thomas
|
||||
|
||||
#+HTML_LINK_HOME: ../index.html
|
||||
#+HTML_LINK_UP: ../index.html
|
||||
|
||||
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="./css/htmlize.css"/>
|
||||
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="./css/readtheorg.css"/>
|
||||
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="./css/custom.css"/>
|
||||
#+HTML_HEAD: <script type="text/javascript" src="./js/jquery.min.js"></script>
|
||||
#+HTML_HEAD: <script type="text/javascript" src="./js/bootstrap.min.js"></script>
|
||||
#+HTML_HEAD: <script type="text/javascript" src="./js/readtheorg.js"></script>
|
||||
|
||||
#+PROPERTY: header-args:latex :headers '("\\usepackage{tikz}" "\\usepackage{import}" "\\import{$HOME/Cloud/tikz/org/}{config.tex}")
|
||||
#+PROPERTY: header-args:latex+ :imagemagick t :fit yes
|
||||
#+PROPERTY: header-args:latex+ :iminoptions -scale 100% -density 150
|
||||
#+PROPERTY: header-args:latex+ :imoutoptions -quality 100
|
||||
#+PROPERTY: header-args:latex+ :results raw replace :buffer no
|
||||
#+PROPERTY: header-args:latex+ :eval no-export
|
||||
#+PROPERTY: header-args:latex+ :exports both
|
||||
#+PROPERTY: header-args:latex+ :mkdirp yes
|
||||
#+PROPERTY: header-args:latex+ :output-dir figs
|
||||
#+PROPERTY: header-args:latex+ :post pdf2svg(file=*this*, ext="png")
|
||||
|
||||
#+PROPERTY: header-args:matlab :session *MATLAB*
|
||||
#+PROPERTY: header-args:matlab+ :comments org
|
||||
#+PROPERTY: header-args:matlab+ :exports both
|
||||
#+PROPERTY: header-args:matlab+ :results none
|
||||
#+PROPERTY: header-args:matlab+ :eval no-export
|
||||
#+PROPERTY: header-args:matlab+ :noweb yes
|
||||
#+PROPERTY: header-args:matlab+ :mkdirp yes
|
||||
#+PROPERTY: header-args:matlab+ :output-dir figs
|
||||
:END:
|
||||
|
||||
* Introduction :ignore:
|
||||
In this document is studied how a piezoelectric stack can be used to measured the force.
|
||||
|
||||
- Section [[sec:open_closed_circuit]]: the effect of the input impedance of the electronics connected to the force sensor stack on the stiffness of the stack is studied
|
||||
- Section [[sec:charge_voltage_estimation]]:
|
||||
|
||||
* Change of Stiffness due to Sensors stack being open/closed circuit
|
||||
:PROPERTIES:
|
||||
:header-args:matlab+: :tangle matlab/open_closed_circuit.m
|
||||
:END:
|
||||
<<sec:open_closed_circuit>>
|
||||
|
||||
** Introduction :ignore:
|
||||
|
||||
** Matlab Init :noexport:ignore:
|
||||
#+begin_src matlab :tangle no :exports none :results silent :noweb yes :var current_dir=(file-name-directory buffer-file-name)
|
||||
<<matlab-dir>>
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none :results silent :noweb yes
|
||||
<<matlab-init>>
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no
|
||||
addpath('./matlab/mat/');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :eval no
|
||||
addpath('./mat/');
|
||||
#+end_src
|
||||
|
||||
** Load Data
|
||||
#+begin_src matlab
|
||||
oc = load('identification_open_circuit.mat', 't', 'encoder', 'u');
|
||||
sc = load('identification_short_circuit.mat', 't', 'encoder', 'u');
|
||||
#+end_src
|
||||
|
||||
** Transfer Functions
|
||||
#+begin_src matlab
|
||||
Ts = 1e-4; % Sampling Time [s]
|
||||
win = hann(ceil(10/Ts));
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
[tf_oc_est, f] = tfestimate(oc.u, oc.encoder, win, [], [], 1/Ts);
|
||||
[co_oc_est, ~] = mscohere( oc.u, oc.encoder, win, [], [], 1/Ts);
|
||||
|
||||
[tf_sc_est, ~] = tfestimate(sc.u, sc.encoder, win, [], [], 1/Ts);
|
||||
[co_sc_est, ~] = mscohere( sc.u, sc.encoder, win, [], [], 1/Ts);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, co_oc_est, '-')
|
||||
plot(f, co_sc_est, '-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Coherence'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
xlim([0.5, 5e3]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/stiffness_force_sensor_coherence.pdf', 'width', 'wide', 'height', 'normal');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:stiffness_force_sensor_coherence
|
||||
#+caption:
|
||||
#+RESULTS:
|
||||
[[file:figs/stiffness_force_sensor_coherence.png]]
|
||||
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
|
||||
ax1 = nexttile;
|
||||
hold on;
|
||||
plot(f, abs(tf_oc_est), '-', 'DisplayName', 'Open-Circuit')
|
||||
plot(f, abs(tf_sc_est), '-', 'DisplayName', 'Short-Circuit')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
|
||||
ylabel('Amplitude'); set(gca, 'XTickLabel',[]);
|
||||
hold off;
|
||||
ylim([1e-7, 3e-4]);
|
||||
legend('location', 'southwest');
|
||||
|
||||
ax2 = nexttile;
|
||||
hold on;
|
||||
plot(f, 180/pi*angle(tf_oc_est), '-')
|
||||
plot(f, 180/pi*angle(tf_sc_est), '-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Phase'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
yticks(-360:90:360);
|
||||
axis padded 'auto x'
|
||||
|
||||
linkaxes([ax1,ax2], 'x');
|
||||
xlim([0.5, 5e3]);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/stiffness_force_sensor_bode.pdf', 'width', 'wide', 'height', 'tall');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:stiffness_force_sensor_bode
|
||||
#+caption:
|
||||
#+RESULTS:
|
||||
[[file:figs/stiffness_force_sensor_bode.png]]
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
xlim([180, 280]);
|
||||
exportFig('figs/stiffness_force_sensor_bode_zoom.pdf', 'width', 'small', 'height', 'tall');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:stiffness_force_sensor_bode_zoom
|
||||
#+caption: Zoom on the change of resonance
|
||||
#+RESULTS:
|
||||
[[file:figs/stiffness_force_sensor_bode_zoom.png]]
|
||||
|
||||
#+begin_important
|
||||
The change of resonance frequency / stiffness is very small and is not important here.
|
||||
#+end_important
|
||||
|
||||
* Generated Number of Charge / Voltage
|
||||
:PROPERTIES:
|
||||
:header-args:matlab+: :tangle matlab/charge_voltage_estimation.m
|
||||
:END:
|
||||
<<sec:charge_voltage_estimation>>
|
||||
|
||||
** Introduction :ignore:
|
||||
|
||||
|
||||
Two stacks are used as actuator (in parallel) and one stack is used as sensor.
|
||||
|
||||
The amplifier gain is 20V/V (Cedrat LA75B).
|
||||
|
||||
** Matlab Init :noexport:ignore:
|
||||
#+begin_src matlab :tangle no :exports none :results silent :noweb yes :var current_dir=(file-name-directory buffer-file-name)
|
||||
<<matlab-dir>>
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none :results silent :noweb yes
|
||||
<<matlab-init>>
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no
|
||||
addpath('./matlab/mat/');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :eval no
|
||||
addpath('./mat/');
|
||||
#+end_src
|
||||
|
||||
** Steps
|
||||
#+begin_src matlab
|
||||
load('force_sensor_steps.mat', 't', 'encoder', 'u', 'v');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel('Time [s]'); ylabel('Measured voltage [V]');
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel('Time [s]'); ylabel('Actuator Voltage [V]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sen_steps_time_domain.pdf', 'width', 'wide', 'height', 'tall');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sen_steps_time_domain
|
||||
#+caption: Time domain signal during the 3 actuator voltage steps
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sen_steps_time_domain.png]]
|
||||
|
||||
Three steps are performed at the following time intervals:
|
||||
#+begin_src matlab
|
||||
t_s = [ 2.5, 23;
|
||||
23.8, 35;
|
||||
35.8, 50];
|
||||
#+end_src
|
||||
|
||||
Fit function:
|
||||
#+begin_src matlab
|
||||
f = @(b,x) b(1).*exp(b(2).*x) + b(3);
|
||||
#+end_src
|
||||
|
||||
We are interested by the =b(2)= term, which is the time constant of the exponential.
|
||||
#+begin_src matlab
|
||||
tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
for t_i = 1:size(t_s, 1)
|
||||
t_cur = t(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
t_cur = t_cur - t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur - f(b,t_cur)); % Residual Norm Cost Function
|
||||
B0 = [0.5, -0.15, 2.2]; % Choose Appropriate Initial Estimates
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); % Estimate Parameters ‘B’
|
||||
|
||||
tau(t_i) = 1/B(2);
|
||||
V0(t_i) = B(3);
|
||||
end
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports results :results value table replace :tangle no :post addhdr(*this*)
|
||||
data2orgtable([abs(tau), V0], {}, {'$tau$ [s]', '$V_0$ [V]'}, ' %.2f ');
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
| $tau$ [s] | $V_0$ [V] |
|
||||
|-----------+-----------|
|
||||
| 6.47 | 2.26 |
|
||||
| 6.76 | 2.26 |
|
||||
| 6.49 | 2.25 |
|
||||
|
||||
With the capacitance being $C = 4.4 \mu F$, the internal impedance of the Speedgoat ADC can be computed as follows:
|
||||
#+begin_src matlab
|
||||
Cp = 4.4e-6; % [F]
|
||||
Rin = abs(mean(tau))/Cp;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = Rin
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 1494100.0
|
||||
|
||||
The input impedance of the Speedgoat's ADC should then be close to $1.5\,M\Omega$ (specified at $1\,M\Omega$).
|
||||
|
||||
#+begin_important
|
||||
How can we explain the voltage offset?
|
||||
#+end_important
|
||||
|
||||
As shown in Figure [[fig:force_sensor_model_electronics]] (taken from cite:reza06_piezoel_trans_vibrat_contr_dampin), an input voltage offset is due to the input bias current $i_n$.
|
||||
|
||||
#+name: fig:force_sensor_model_electronics
|
||||
#+caption: Model of a piezoelectric transducer (left) and instrumentation amplifier (right)
|
||||
[[file:figs/force_sensor_model_electronics.png]]
|
||||
|
||||
The estimated input bias current is then:
|
||||
#+begin_src matlab
|
||||
in = mean(V0)/Rin;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = in
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 1.5119e-06
|
||||
|
||||
An additional resistor in parallel with $R_{in}$ would have two effects:
|
||||
- reduce the input voltage offset
|
||||
\[ V_{off} = \frac{R_a R_{in}}{R_a + R_{in}} i_n \]
|
||||
- increase the high pass corner frequency $f_c$
|
||||
\[ C_p \frac{R_{in}R_a}{R_{in} + R_a} = \tau_c = \frac{1}{f_c} \]
|
||||
\[ R_a = \frac{R_i}{f_c C_p R_i - 1} \]
|
||||
|
||||
|
||||
If we allow the high pass corner frequency to be equals to 3Hz:
|
||||
#+begin_src matlab
|
||||
fc = 3;
|
||||
Ra = Rin/(fc*Cp*Rin - 1);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = Ra
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 79804
|
||||
|
||||
With this parallel resistance value, the voltage offset would be:
|
||||
#+begin_src matlab
|
||||
V_offset = Ra*Rin/(Ra + Rin) * in;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = V_offset
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 0.11454
|
||||
|
||||
Which is much more acceptable.
|
||||
|
||||
** Add Parallel Resistor
|
||||
A resistor $R_p \approx 100\,k\Omega$ is added in parallel with the force sensor as shown in Figure [[fig:force_sensor_model_electronics_without_R]].
|
||||
|
||||
#+name: fig:force_sensor_model_electronics_without_R
|
||||
#+caption: Model of a piezoelectric transducer (left) and instrumentation amplifier (right) with added resistor $R_p$
|
||||
[[file:figs/force_sensor_model_electronics_without_R.png]]
|
||||
|
||||
#+begin_src matlab
|
||||
load('force_sensor_steps_R_82k7.mat', 't', 'encoder', 'u', 'v');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel('Time [s]'); ylabel('Measured voltage [V]');
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel('Time [s]'); ylabel('Actuator Voltage [V]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sen_steps_time_domain_par_R.pdf', 'width', 'wide', 'height', 'tall');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sen_steps_time_domain_par_R
|
||||
#+caption: Time domain signal during the actuator voltage steps
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sen_steps_time_domain_par_R.png]]
|
||||
|
||||
Three steps are performed at the following time intervals:
|
||||
#+begin_src matlab
|
||||
t_s = [1.9, 6;
|
||||
8.5, 13;
|
||||
15.5, 21;
|
||||
22.6, 26;
|
||||
30.0, 36;
|
||||
37.5, 41;
|
||||
46.2, 49.5]
|
||||
#+end_src
|
||||
|
||||
Fit function:
|
||||
#+begin_src matlab
|
||||
f = @(b,x) b(1).*exp(b(2).*x) + b(3);
|
||||
#+end_src
|
||||
|
||||
We are interested by the =b(2)= term, which is the time constant of the exponential.
|
||||
|
||||
#+begin_src matlab
|
||||
tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab
|
||||
for t_i = 1:size(t_s, 1)
|
||||
t_cur = t(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
t_cur = t_cur - t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur - f(b,t_cur)); % Residual Norm Cost Function
|
||||
B0 = [0.5, -0.2, 0.2]; % Choose Appropriate Initial Estimates
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); % Estimate Parameters ‘B’
|
||||
|
||||
tau(t_i) = 1/B(2);
|
||||
V0(t_i) = B(3);
|
||||
end
|
||||
#+end_src
|
||||
|
||||
And indeed, we obtain a much smaller offset voltage and a much faster time constant.
|
||||
|
||||
#+begin_src matlab :exports results :results value table replace :tangle no :post addhdr(*this*)
|
||||
data2orgtable([abs(tau), V0], {}, {'$tau$ [s]', '$V_0$ [V]'}, ' %.2f ');
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
| $tau$ [s] | $V_0$ [V] |
|
||||
|-----------+-----------|
|
||||
| 0.43 | 0.15 |
|
||||
| 0.45 | 0.16 |
|
||||
| 0.43 | 0.15 |
|
||||
| 0.43 | 0.15 |
|
||||
| 0.45 | 0.15 |
|
||||
| 0.46 | 0.16 |
|
||||
| 0.48 | 0.16 |
|
||||
|
||||
Knowing the capacitance value, we can estimate the value of the added resistor (neglecting the input impedance of $\approx 1\,M\Omega$):
|
||||
|
||||
#+begin_src matlab
|
||||
Cp = 4.4e-6; % [F]
|
||||
Rin = abs(mean(tau))/Cp;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = Rin
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 101200.0
|
||||
|
||||
And we can verify that the bias current estimation stays the same:
|
||||
#+begin_src matlab
|
||||
in = mean(V0)/Rin;
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :results value replace :exports results
|
||||
ans = in
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 1.5305e-06
|
||||
|
||||
This validates the model of the ADC and the effectiveness of the added resistor.
|
||||
|
||||
** Sinus
|
||||
#+begin_src matlab
|
||||
load('force_sensor_sin.mat', 't', 'encoder', 'u', 'v');
|
||||
|
||||
u = u(t>25);
|
||||
v = v(t>25);
|
||||
encoder = encoder(t>25) - mean(encoder(t>25));
|
||||
t = t(t>25);
|
||||
#+end_src
|
||||
|
||||
The driving voltage is a sinus at 0.5Hz centered on 3V and with an amplitude of 3V (Figure [[fig:force_sensor_sin_u]]).
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
plot(t, u)
|
||||
xlabel('Time [s]'); ylabel('Control Voltage [V]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sensor_sin_u.pdf', 'width', 'normal', 'height', 'small');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sensor_sin_u
|
||||
#+caption: Driving Voltage
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sensor_sin_u.png]]
|
||||
|
||||
The full stroke as measured by the encoder is:
|
||||
#+begin_src matlab :results value replace
|
||||
max(encoder)-min(encoder)
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 5.005e-05
|
||||
|
||||
Its signal is shown in Figure [[fig:force_sensor_sin_encoder]].
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
plot(t, encoder)
|
||||
xlabel('Time [s]'); ylabel('Encoder [m]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sensor_sin_encoder.pdf', 'width', 'normal', 'height', 'small');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sensor_sin_encoder
|
||||
#+caption: Encoder measurement
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sensor_sin_encoder.png]]
|
||||
|
||||
The generated voltage by the stack is shown in Figure
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
plot(t, v)
|
||||
xlabel('Time [s]'); ylabel('Force Sensor Output [V]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sensor_sin_stack.pdf', 'width', 'normal', 'height', 'small');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sensor_sin_stack
|
||||
#+caption: Voltage measured on the stack used as a sensor
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sensor_sin_stack.png]]
|
||||
|
||||
The capacitance of the stack is
|
||||
#+begin_src matlab
|
||||
Cp = 4.4e-6; % [F]
|
||||
#+end_src
|
||||
|
||||
The corresponding generated charge is then shown in Figure [[fig:force_sensor_sin_charge]].
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
plot(t, 1e6*Cp*(v-mean(v)))
|
||||
xlabel('Time [s]'); ylabel('Generated Charge [$\mu C$]');
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sensor_sin_charge.pdf', 'width', 'normal', 'height', 'small');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sensor_sin_charge
|
||||
#+caption: Generated Charge
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sensor_sin_charge.png]]
|
||||
|
||||
|
||||
The relation between the generated voltage and the measured displacement is almost linear as shown in Figure [[fig:force_sensor_linear_relation]].
|
||||
|
||||
#+begin_src matlab
|
||||
b1 = encoder\(v-mean(v));
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :exports none
|
||||
figure;
|
||||
hold on;
|
||||
plot(encoder, v-mean(v), 'DisplayName', 'Measured Voltage');
|
||||
plot(encoder, encoder*b1, 'DisplayName', sprintf('Linear Fit: $U_s \\approx %.3f [V/\\mu m] \\cdot d$', 1e-6*abs(b1)));
|
||||
hold off;
|
||||
xlabel('Measured Displacement [m]'); ylabel('Generated Voltage [V]');
|
||||
legend();
|
||||
#+end_src
|
||||
|
||||
#+begin_src matlab :tangle no :exports results :results file replace
|
||||
exportFig('figs/force_sensor_linear_relation.pdf', 'width', 'normal', 'height', 'small');
|
||||
#+end_src
|
||||
|
||||
#+name: fig:force_sensor_linear_relation
|
||||
#+caption: Almost linear relation between the relative displacement and the generated voltage
|
||||
#+RESULTS:
|
||||
[[file:figs/force_sensor_linear_relation.png]]
|
||||
|
||||
With a 16bits ADC, the resolution will then be equals to (in [nm]):
|
||||
#+begin_src matlab :results value replace
|
||||
abs((20/2^16)/(b1/1e9))
|
||||
#+end_src
|
||||
|
||||
#+RESULTS:
|
||||
: 3.9838
|
||||
Vendored
+7
@@ -0,0 +1,7 @@
|
||||
/*!
|
||||
* Bootstrap v3.3.4 (http://getbootstrap.com)
|
||||
* Copyright 2011-2015 Twitter, Inc.
|
||||
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
|
||||
*/
|
||||
if("undefined"==typeof jQuery)throw new Error("Bootstrap's JavaScript requires jQuery");+function(a){"use strict";var b=a.fn.jquery.split(" ")[0].split(".");if(b[0]<2&&b[1]<9||1==b[0]&&9==b[1]&&b[2]<1)throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher")}(jQuery),+function(a){"use strict";function b(){var a=document.createElement("bootstrap"),b={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var c in b)if(void 0!==a.style[c])return{end:b[c]};return!1}a.fn.emulateTransitionEnd=function(b){var c=!1,d=this;a(this).one("bsTransitionEnd",function(){c=!0});var e=function(){c||a(d).trigger(a.support.transition.end)};return setTimeout(e,b),this},a(function(){a.support.transition=b(),a.support.transition&&(a.event.special.bsTransitionEnd={bindType:a.support.transition.end,delegateType:a.support.transition.end,handle:function(b){return 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// Make tables responsive
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$( document ).ready(function() {
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$('#text-table-of-contents ul').first().addClass('nav');
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// ScrollSpy also requires that we use
|
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// a Bootstrap nav component.
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||||
$('body').scrollspy({target: '#text-table-of-contents'});
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// add sticky table headers
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$('table').stickyTableHeaders();
|
||||
|
||||
// set the height of tableOfContents
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||||
var $postamble = $('#postamble');
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||||
var $tableOfContents = $('#table-of-contents');
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||||
$tableOfContents.css({paddingBottom: $postamble.outerHeight()});
|
||||
|
||||
// add TOC button
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var toggleSidebar = $('<div id="toggle-sidebar"><a href="#table-of-contents"><h2>Table of Contents</h2></a></div>');
|
||||
$('#content').prepend(toggleSidebar);
|
||||
|
||||
// add close button when sidebar showed in mobile screen
|
||||
var closeBtn = $('<a class="close-sidebar" href="#">Close</a>');
|
||||
var tocTitle = $('#table-of-contents').find('h2');
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tocTitle.append(closeBtn);
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}($));
|
||||
@@ -0,0 +1,330 @@
|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
addpath('./mat/');
|
||||
|
||||
% Steps
|
||||
|
||||
load('force_sensor_steps.mat', 't', 'encoder', 'u', 'v');
|
||||
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel('Time [s]'); ylabel('Measured voltage [V]');
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel('Time [s]'); ylabel('Actuator Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sen_steps_time_domain
|
||||
% #+caption: Time domain signal during the 3 actuator voltage steps
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sen_steps_time_domain.png]]
|
||||
|
||||
% Three steps are performed at the following time intervals:
|
||||
|
||||
t_s = [ 2.5, 23;
|
||||
23.8, 35;
|
||||
35.8, 50];
|
||||
|
||||
|
||||
|
||||
% Fit function:
|
||||
|
||||
f = @(b,x) b(1).*exp(b(2).*x) + b(3);
|
||||
|
||||
|
||||
|
||||
% We are interested by the =b(2)= term, which is the time constant of the exponential.
|
||||
|
||||
tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
|
||||
for t_i = 1:size(t_s, 1)
|
||||
t_cur = t(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
t_cur = t_cur - t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur - f(b,t_cur)); % Residual Norm Cost Function
|
||||
B0 = [0.5, -0.15, 2.2]; % Choose Appropriate Initial Estimates
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); % Estimate Parameters ‘B’
|
||||
|
||||
tau(t_i) = 1/B(2);
|
||||
V0(t_i) = B(3);
|
||||
end
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% | $tau$ [s] | $V_0$ [V] |
|
||||
% |-----------+-----------|
|
||||
% | 6.47 | 2.26 |
|
||||
% | 6.76 | 2.26 |
|
||||
% | 6.49 | 2.25 |
|
||||
|
||||
% With the capacitance being $C = 4.4 \mu F$, the internal impedance of the Speedgoat ADC can be computed as follows:
|
||||
|
||||
Cp = 4.4e-6; % [F]
|
||||
Rin = abs(mean(tau))/Cp;
|
||||
|
||||
ans = Rin
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% : 1494100.0
|
||||
|
||||
% The input impedance of the Speedgoat's ADC should then be close to $1.5\,M\Omega$ (specified at $1\,M\Omega$).
|
||||
|
||||
% #+begin_important
|
||||
% How can we explain the voltage offset?
|
||||
% #+end_important
|
||||
|
||||
% As shown in Figure [[fig:force_sensor_model_electronics]] (taken from cite:reza06_piezoel_trans_vibrat_contr_dampin), an input voltage offset is due to the input bias current $i_n$.
|
||||
|
||||
% #+name: fig:force_sensor_model_electronics
|
||||
% #+caption: Model of a piezoelectric transducer (left) and instrumentation amplifier (right)
|
||||
% [[file:figs/force_sensor_model_electronics.png]]
|
||||
|
||||
% The estimated input bias current is then:
|
||||
|
||||
in = mean(V0)/Rin;
|
||||
|
||||
ans = in
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% : 1.5119e-06
|
||||
|
||||
% An additional resistor in parallel with $R_{in}$ would have two effects:
|
||||
% - reduce the input voltage offset
|
||||
% \[ V_{off} = \frac{R_a R_{in}}{R_a + R_{in}} i_n \]
|
||||
% - increase the high pass corner frequency $f_c$
|
||||
% \[ C_p \frac{R_{in}R_a}{R_{in} + R_a} = \tau_c = \frac{1}{f_c} \]
|
||||
% \[ R_a = \frac{R_i}{f_c C_p R_i - 1} \]
|
||||
|
||||
|
||||
% If we allow the high pass corner frequency to be equals to 3Hz:
|
||||
|
||||
fc = 3;
|
||||
Ra = Rin/(fc*Cp*Rin - 1);
|
||||
|
||||
ans = Ra
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% : 79804
|
||||
|
||||
% With this parallel resistance value, the voltage offset would be:
|
||||
|
||||
V_offset = Ra*Rin/(Ra + Rin) * in;
|
||||
|
||||
ans = V_offset
|
||||
|
||||
% Add Parallel Resistor
|
||||
% A resistor $R_p \approx 100\,k\Omega$ is added in parallel with the force sensor as shown in Figure [[fig:force_sensor_model_electronics_without_R]].
|
||||
|
||||
% #+name: fig:force_sensor_model_electronics_without_R
|
||||
% #+caption: Model of a piezoelectric transducer (left) and instrumentation amplifier (right) with added resistor $R_p$
|
||||
% [[file:figs/force_sensor_model_electronics_without_R.png]]
|
||||
|
||||
|
||||
load('force_sensor_steps_R_82k7.mat', 't', 'encoder', 'u', 'v');
|
||||
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
nexttile;
|
||||
plot(t, v);
|
||||
xlabel('Time [s]'); ylabel('Measured voltage [V]');
|
||||
nexttile;
|
||||
plot(t, u);
|
||||
xlabel('Time [s]'); ylabel('Actuator Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sen_steps_time_domain_par_R
|
||||
% #+caption: Time domain signal during the actuator voltage steps
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sen_steps_time_domain_par_R.png]]
|
||||
|
||||
% Three steps are performed at the following time intervals:
|
||||
|
||||
t_s = [1.9, 6;
|
||||
8.5, 13;
|
||||
15.5, 21;
|
||||
22.6, 26;
|
||||
30.0, 36;
|
||||
37.5, 41;
|
||||
46.2, 49.5]
|
||||
|
||||
|
||||
|
||||
% Fit function:
|
||||
|
||||
f = @(b,x) b(1).*exp(b(2).*x) + b(3);
|
||||
|
||||
|
||||
|
||||
% We are interested by the =b(2)= term, which is the time constant of the exponential.
|
||||
|
||||
|
||||
tau = zeros(size(t_s, 1),1);
|
||||
V0 = zeros(size(t_s, 1),1);
|
||||
|
||||
for t_i = 1:size(t_s, 1)
|
||||
t_cur = t(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
t_cur = t_cur - t_cur(1);
|
||||
y_cur = v(t_s(t_i, 1) < t & t < t_s(t_i, 2));
|
||||
|
||||
nrmrsd = @(b) norm(y_cur - f(b,t_cur)); % Residual Norm Cost Function
|
||||
B0 = [0.5, -0.2, 0.2]; % Choose Appropriate Initial Estimates
|
||||
[B,rnrm] = fminsearch(nrmrsd, B0); % Estimate Parameters ‘B’
|
||||
|
||||
tau(t_i) = 1/B(2);
|
||||
V0(t_i) = B(3);
|
||||
end
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% | $tau$ [s] | $V_0$ [V] |
|
||||
% |-----------+-----------|
|
||||
% | 0.43 | 0.15 |
|
||||
% | 0.45 | 0.16 |
|
||||
% | 0.43 | 0.15 |
|
||||
% | 0.43 | 0.15 |
|
||||
% | 0.45 | 0.15 |
|
||||
% | 0.46 | 0.16 |
|
||||
% | 0.48 | 0.16 |
|
||||
|
||||
% Knowing the capacitance value, we can estimate the value of the added resistor (neglecting the input impedance of $\approx 1\,M\Omega$):
|
||||
|
||||
|
||||
Cp = 4.4e-6; % [F]
|
||||
Rin = abs(mean(tau))/Cp;
|
||||
|
||||
ans = Rin
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% : 101200.0
|
||||
|
||||
% And we can verify that the bias current estimation stays the same:
|
||||
|
||||
in = mean(V0)/Rin;
|
||||
|
||||
ans = in
|
||||
|
||||
% Sinus
|
||||
|
||||
load('force_sensor_sin.mat', 't', 'encoder', 'u', 'v');
|
||||
|
||||
u = u(t>25);
|
||||
v = v(t>25);
|
||||
encoder = encoder(t>25) - mean(encoder(t>25));
|
||||
t = t(t>25);
|
||||
|
||||
|
||||
|
||||
% The driving voltage is a sinus at 0.5Hz centered on 3V and with an amplitude of 3V (Figure [[fig:force_sensor_sin_u]]).
|
||||
|
||||
|
||||
figure;
|
||||
plot(t, u)
|
||||
xlabel('Time [s]'); ylabel('Control Voltage [V]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sensor_sin_u
|
||||
% #+caption: Driving Voltage
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sensor_sin_u.png]]
|
||||
|
||||
% The full stroke as measured by the encoder is:
|
||||
|
||||
max(encoder)-min(encoder)
|
||||
|
||||
|
||||
|
||||
% #+RESULTS:
|
||||
% : 5.005e-05
|
||||
|
||||
% Its signal is shown in Figure [[fig:force_sensor_sin_encoder]].
|
||||
|
||||
|
||||
figure;
|
||||
plot(t, encoder)
|
||||
xlabel('Time [s]'); ylabel('Encoder [m]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sensor_sin_encoder
|
||||
% #+caption: Encoder measurement
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sensor_sin_encoder.png]]
|
||||
|
||||
% The generated voltage by the stack is shown in Figure
|
||||
|
||||
|
||||
figure;
|
||||
plot(t, v)
|
||||
xlabel('Time [s]'); ylabel('Force Sensor Output [V]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sensor_sin_stack
|
||||
% #+caption: Voltage measured on the stack used as a sensor
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sensor_sin_stack.png]]
|
||||
|
||||
% The capacitance of the stack is
|
||||
|
||||
Cp = 4.4e-6; % [F]
|
||||
|
||||
|
||||
|
||||
% The corresponding generated charge is then shown in Figure [[fig:force_sensor_sin_charge]].
|
||||
|
||||
figure;
|
||||
plot(t, 1e6*Cp*(v-mean(v)))
|
||||
xlabel('Time [s]'); ylabel('Generated Charge [$\mu C$]');
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sensor_sin_charge
|
||||
% #+caption: Generated Charge
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sensor_sin_charge.png]]
|
||||
|
||||
|
||||
% The relation between the generated voltage and the measured displacement is almost linear as shown in Figure [[fig:force_sensor_linear_relation]].
|
||||
|
||||
|
||||
b1 = encoder\(v-mean(v));
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(encoder, v-mean(v), 'DisplayName', 'Measured Voltage');
|
||||
plot(encoder, encoder*b1, 'DisplayName', sprintf('Linear Fit: $U_s \\approx %.3f [V/\\mu m] \\cdot d$', 1e-6*abs(b1)));
|
||||
hold off;
|
||||
xlabel('Measured Displacement [m]'); ylabel('Generated Voltage [V]');
|
||||
legend();
|
||||
|
||||
|
||||
|
||||
% #+name: fig:force_sensor_linear_relation
|
||||
% #+caption: Almost linear relation between the relative displacement and the generated voltage
|
||||
% #+RESULTS:
|
||||
% [[file:figs/force_sensor_linear_relation.png]]
|
||||
|
||||
% With a 16bits ADC, the resolution will then be equals to (in [nm]):
|
||||
|
||||
abs((20/2^16)/(b1/1e9))
|
||||
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|
||||
%% Clear Workspace and Close figures
|
||||
clear; close all; clc;
|
||||
|
||||
%% Intialize Laplace variable
|
||||
s = zpk('s');
|
||||
|
||||
addpath('./mat/');
|
||||
|
||||
% Load Data
|
||||
|
||||
oc = load('identification_open_circuit.mat', 't', 'encoder', 'u');
|
||||
sc = load('identification_short_circuit.mat', 't', 'encoder', 'u');
|
||||
|
||||
% Transfer Functions
|
||||
|
||||
Ts = 1e-4; % Sampling Time [s]
|
||||
win = hann(ceil(10/Ts));
|
||||
|
||||
[tf_oc_est, f] = tfestimate(oc.u, oc.encoder, win, [], [], 1/Ts);
|
||||
[co_oc_est, ~] = mscohere( oc.u, oc.encoder, win, [], [], 1/Ts);
|
||||
|
||||
[tf_sc_est, ~] = tfestimate(sc.u, sc.encoder, win, [], [], 1/Ts);
|
||||
[co_sc_est, ~] = mscohere( sc.u, sc.encoder, win, [], [], 1/Ts);
|
||||
|
||||
figure;
|
||||
hold on;
|
||||
plot(f, co_oc_est, '-')
|
||||
plot(f, co_sc_est, '-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Coherence'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
xlim([0.5, 5e3]);
|
||||
|
||||
|
||||
|
||||
% #+name: fig:stiffness_force_sensor_coherence
|
||||
% #+caption:
|
||||
% #+RESULTS:
|
||||
% [[file:figs/stiffness_force_sensor_coherence.png]]
|
||||
|
||||
|
||||
|
||||
figure;
|
||||
tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
|
||||
|
||||
ax1 = nexttile;
|
||||
hold on;
|
||||
plot(f, abs(tf_oc_est), '-', 'DisplayName', 'Open-Circuit')
|
||||
plot(f, abs(tf_sc_est), '-', 'DisplayName', 'Short-Circuit')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'log');
|
||||
ylabel('Amplitude'); set(gca, 'XTickLabel',[]);
|
||||
hold off;
|
||||
ylim([1e-7, 3e-4]);
|
||||
legend('location', 'southwest');
|
||||
|
||||
ax2 = nexttile;
|
||||
hold on;
|
||||
plot(f, 180/pi*angle(tf_oc_est), '-')
|
||||
plot(f, 180/pi*angle(tf_sc_est), '-')
|
||||
set(gca, 'Xscale', 'log'); set(gca, 'Yscale', 'lin');
|
||||
ylabel('Phase'); xlabel('Frequency [Hz]');
|
||||
hold off;
|
||||
yticks(-360:90:360);
|
||||
axis padded 'auto x'
|
||||
|
||||
linkaxes([ax1,ax2], 'x');
|
||||
xlim([0.5, 5e3]);
|
||||
@@ -0,0 +1,17 @@
|
||||
tg = slrt;
|
||||
|
||||
%%
|
||||
f = SimulinkRealTime.openFTP(tg);
|
||||
mget(f, 'int_enc.dat', 'data');
|
||||
close(f);
|
||||
|
||||
%% Convert the Data
|
||||
data = SimulinkRealTime.utils.getFileScopeData('data/int_enc.dat').data;
|
||||
|
||||
interferometer = data(:, 1);
|
||||
encoder = data(:, 2);
|
||||
u = data(:, 3);
|
||||
t = data(:, 4);
|
||||
|
||||
save('./mat/int_enc_id_noise_bis.mat', 'interferometer', 'encoder', 'u' , 't');
|
||||
|
||||
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|
||||
%%
|
||||
s = tf('s');
|
||||
Ts = 1e-4; % [s]
|
||||
|
||||
%% Pre-Filter
|
||||
G_pf = 1/(1 + s/2/pi/20);
|
||||
G_pf = c2d(G_pf, Ts, 'tustin');
|
||||
|
||||
% %% Force Sensor Filter (HPF)
|
||||
% Gf_hpf = s/(s + 2*pi*2);
|
||||
% Gf_hpf = tf(1);
|
||||
% Gf_hpf = c2d(Gf_hpf, Ts, 'tustin');
|
||||
%
|
||||
% %% IFF Controller
|
||||
% Kiff = 1/(s + 2*pi*2);
|
||||
% Kiff = c2d(Kiff, Ts, 'tustin');
|
||||
%
|
||||
% %% Excitation Signal
|
||||
Tsim = 100; % Excitation time + Measurement time [s]
|
||||
|
||||
t = 0:Ts:Tsim;
|
||||
u_exc = timeseries(chirp(t, 10, Tsim, 40, 'logarithmic'), t);
|
||||
% u_exc = timeseries(y_v, t);
|
||||
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Reference in new issue
Block a user