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<title>Encoder Renishaw Vionic - Test Bench</title>
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<h1 class="title">Encoder Renishaw Vionic - Test Bench</h1>
<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
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<li><a href="#org096db33">1. Encoder Model</a></li>
<li><a href="#orga6d0b8e">2. Test-Bench Description</a></li>
<li><a href="#orgfc138a6">3. Measurement procedure</a></li>
<li><a href="#orgcddc280">4. Measurement Results</a></li>
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</ul>
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<div class="note" id="org89964c6">
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<p>
You can find below the document of:
</p>
<ul class="org-ul">
<li><a href="doc/L-9517-9678-05-A_Data_sheet_VIONiC_series_en.pdf">Vionic Encoder</a></li>
<li><a href="doc/L-9517-9862-01-C_Data_sheet_RKLC_EN.pdf">Linear Scale</a></li>
</ul>
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</div>
<p>
We would like to characterize the encoder measurement system.
</p>
<p>
In particular, we would like to measure:
</p>
<ul class="org-ul">
<li>Bandwidth/dynamics of the sensor</li>
<li>Power Spectral Density of the measurement noise</li>
<li>Linearity/resolution of the sensor</li>
</ul>
<div id="outline-container-org096db33" class="outline-2">
<h2 id="org096db33"><span class="section-number-2">1</span> Encoder Model</h2>
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<div class="outline-text-2" id="text-1">
<p>
The Encoder is characterized by its dynamics \(G_m(s)\) from the &ldquo;true&rdquo; displacement \(y\) to measured displacement \(y_m\).
Ideally, this dynamics is constant over a wide frequency band with very small phase drop.
</p>
<p>
It is also characterized by its measurement noise \(n\) that can be described by its Power Spectral Density (PSD).
</p>
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<p>
The model of the encoder is shown in Figure <a href="#org8c743b3">1</a>.
</p>
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<div id="org8c743b3" class="figure">
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<p><img src="figs/encoder-model-schematic.png" alt="encoder-model-schematic.png" />
</p>
<p><span class="figure-number">Figure 1: </span>Model of the Encoder</p>
</div>
</div>
</div>
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<h2 id="orga6d0b8e"><span class="section-number-2">2</span> Test-Bench Description</h2>
<div class="outline-text-2" id="text-2">
<p>
To measure the noise \(n\) of the encoder, one can rigidly fix the head and the ruler together such that no motion should be measured.
Then, the measured signal \(y_m\) corresponds to the noise \(n\).
</p>
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<p>
In order to measure the linearity, we have to compare the measured displacement with a reference sensor with a known linearity.
An interferometer or capacitive sensor should work.
An actuator should also be there so impose a displacement.
</p>
</div>
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</div>
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<div id="outline-container-orgfc138a6" class="outline-2">
<h2 id="orgfc138a6"><span class="section-number-2">3</span> Measurement procedure</h2>
</div>
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<div id="outline-container-orgcddc280" class="outline-2">
<h2 id="orgcddc280"><span class="section-number-2">4</span> Measurement Results</h2>
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</div>
</div>
<div id="postamble" class="status">
<p class="author">Author: Dehaeze Thomas</p>
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<p class="date">Created: 2020-12-16 mer. 14:07</p>
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