Update Content - 2024-12-19

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Thomas Dehaeze 2024-12-19 13:21:36 +01:00
parent 200ab38842
commit 8abd7c44c6
3 changed files with 61 additions and 4 deletions

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@ -20,7 +20,7 @@ Depending on the physical system to be controlled, several feedforward controlle
Second order trajectory planning: the acceleration and velocity can be bound to wanted values. Second order trajectory planning: the acceleration and velocity can be bound to wanted values.
Such trajectory is shown in [1](#figure--fig:feedforward-second-order-trajectory). Such trajectory is shown in [Figure 1](#figure--fig:feedforward-second-order-trajectory).
<a id="figure--fig:feedforward-second-order-trajectory"></a> <a id="figure--fig:feedforward-second-order-trajectory"></a>
@ -38,7 +38,7 @@ F\_{ff} = m a + c v
<span class="org-target" id="org-target--sec-fourth-order-feedforward"></span> <span class="org-target" id="org-target--sec-fourth-order-feedforward"></span>
The main advantage of "fourth order feedforward" is that it takes into account the flexibility in the system (one resonance between the actuation point and the measurement point, see [2](#figure--fig:feedforward-double-mass-system)). The main advantage of "fourth order feedforward" is that it takes into account the flexibility in the system (one resonance between the actuation point and the measurement point, see [Figure 2](#figure--fig:feedforward-double-mass-system)).
This can lead to better results than second order trajectory planning as demonstrated [here](https://www.20sim.com/control-engineering/snap-feedforward/). This can lead to better results than second order trajectory planning as demonstrated [here](https://www.20sim.com/control-engineering/snap-feedforward/).
<a id="figure--fig:feedforward-double-mass-system"></a> <a id="figure--fig:feedforward-double-mass-system"></a>
@ -76,7 +76,7 @@ q\_3 &= (m\_1 + m\_2)c + k\_1 k\_2 + (k\_1 + k\_2) k\_{12} \\\\
q\_4 &= (k\_1 + k\_2) c q\_4 &= (k\_1 + k\_2) c
\end{align} \end{align}
This means that if a fourth-order trajectory for \\(x\_2\\) is used, the feedforward architecture shown in [3](#figure--fig:feedforward-fourth-order-feedforward-architecture) can be used: This means that if a fourth-order trajectory for \\(x\_2\\) is used, the feedforward architecture shown in [Figure 3](#figure--fig:feedforward-fourth-order-feedforward-architecture) can be used:
\begin{equation} \begin{equation}
F\_{f2} = \frac{1}{k\_12 s + c} (q\_1 d + q\_2 j + q\_3 q + q\_4 v) F\_{f2} = \frac{1}{k\_12 s + c} (q\_1 d + q\_2 j + q\_3 q + q\_4 v)
@ -103,7 +103,7 @@ q\_4 &= c\_1 k
and \\(s\\) the snap, \\(j\\) the jerk, \\(a\\) the acceleration and \\(v\\) the velocity. and \\(s\\) the snap, \\(j\\) the jerk, \\(a\\) the acceleration and \\(v\\) the velocity.
The same architecture shown in [3](#figure--fig:feedforward-fourth-order-feedforward-architecture) can be used. The same architecture shown in [Figure 3](#figure--fig:feedforward-fourth-order-feedforward-architecture) can be used.
In order to implement a fourth order trajectory, look at [this](https://www.mathworks.com/matlabcentral/fileexchange/16352-advanced-setpoints-for-motion-systems) nice implementation in Simulink of fourth-order trajectory planning (see also (<a href="#citeproc_bib_item_1">Lambrechts, Boerlage, and Steinbuch 2004</a>)). In order to implement a fourth order trajectory, look at [this](https://www.mathworks.com/matlabcentral/fileexchange/16352-advanced-setpoints-for-motion-systems) nice implementation in Simulink of fourth-order trajectory planning (see also (<a href="#citeproc_bib_item_1">Lambrechts, Boerlage, and Steinbuch 2004</a>)).

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@ -11,6 +11,8 @@ Tags
## Commercial Temperature Controllers {#commercial-temperature-controllers} ## Commercial Temperature Controllers {#commercial-temperature-controllers}
- <https://www.thinksrs.com/products/tempcontrol.html> - <https://www.thinksrs.com/products/tempcontrol.html>
- <https://www.thorlabs.com/thorproduct.cfm?partnumber=TC300B>
- <https://www.vescent.com/manuals/doku.php?id=slice:qt>
## Bibliography {#bibliography} ## Bibliography {#bibliography}

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@ -0,0 +1,55 @@
+++
title = "Temperature Sensors"
author = ["Dehaeze Thomas"]
draft = false
+++
Tags
:
## Temperature sensors types {#temperature-sensors-types}
There are three main types of temperature sensors:
- [RTD](#org-target--sec-temperature-sensor-rtd) (Resistance Temperature Detectors): made of pure metals (Pt, Ni or Cu)
They are all PTC (Positive Temperature Coefficient): PT100, PT1000, ...
- [Thermistor](#org-target--sec-temperature-sensor-thermistor): made of metal oxide mixtures (semiconductor materials).
It can have a NTC (Negative Temperature Coefficient) or a PTC (Positive Temperature Coefficient).
- [Thermocouple](#org-target--sec-temperature-sensor-thermocouple) (Seebeck effect):
- Type K (-180 to 1200 degC)
- Type T (-250 to 350 degC)
### RTD {#rtd}
<span class="org-target" id="org-target--sec-temperature-sensor-rtd"></span>
### Thermistor {#thermistor}
<span class="org-target" id="org-target--sec-temperature-sensor-thermistor"></span>
### Thermocouple {#thermocouple}
<span class="org-target" id="org-target--sec-temperature-sensor-thermocouple"></span>
### Comparison of sensor types {#comparison-of-sensor-types}
<https://www.ni.com/fr/shop/data-acquisition/sensor-fundamentals/measuring-temperature-with-thermocouples-rtds-and-thermistors.html?srsltid=AfmBOoqrR2VCWVvkCTjzTIYHlyiKVpt6Ket1xfhU1yFPTtXsGKg0RILE>
| | RTD | Thermistor | Thermocouple |
|---------------|-----|------------|--------------|
| Accuracy | | | |
| Stability | | | |
| Sensitivity | | | |
| Response time | | | |
| Self heating | | | |
## Bibliography {#bibliography}
<style>.csl-entry{text-indent: -1.5em; margin-left: 1.5em;}</style><div class="csl-bib-body">
</div>