Update Content - 2025-01-17
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@ -189,6 +189,68 @@ The huge advantage of RTD compared to PT100 is that the sensitivity is much larg
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{{< figure src="/ox-hugo/temperature_sensor_rtd_sensitivity.png" caption="<span class=\"figure-number\">Figure 6: </span>Sensitivity of a RTD as a function of the temperature" >}}
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{{< figure src="/ox-hugo/temperature_sensor_rtd_sensitivity.png" caption="<span class=\"figure-number\">Figure 6: </span>Sensitivity of a RTD as a function of the temperature" >}}
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## Compute temperature from the measured resistance {#compute-temperature-from-the-measured-resistance}
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### Pt100 and Pt1000 {#pt100-and-pt1000}
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The resistance as a function of temperature is approximated by the Callendar–Van Dusen equation:
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\\[ R(T) = \begin{cases}
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R\_0 (1 + A \cdot T + B \cdot T^2), & \text{for } T>0^oC \\\\
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R\_0 (1 + A\cdot T + B \cdot T^2 + C \cdot (T - 100) \cdot T^3), & \text{for } T<0^oC
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\end{cases} \\]
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With \\(R\_0\\) the resistance value at 0 degrees (\\(100\\,\Omega\\) for a Pt100 and \\(1000\\,\Omega\\) for a Pt1000).
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Values for A, B, C and D are depending on the exact model.
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For a TCR of 3850 ppm/K, the values are:
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- \\(A = 3.9083 \cdot 10^{-3}\ [{}^oC^{-1}]\\)
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- \\(B = -5.775 \cdot 10^{-7}\ [{}^oC^{-2}]\\)
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- \\(C = -4.183 \cdot 10^{-12}\ [{}^oC^{-4}]\\)
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<!--listend-->
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```matlab
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%% Pt100
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R0 = 100; % [Ohm]
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A = 3.9083e-3;
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B = -5.775e-7;
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C = -4.183e-12;
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T1 = -200:0; % [degC]
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T2 = 0:850; % [degC]
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T = [T1,T2]; % [degC]
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R = [R0*(1 + A*T1 + B*T1.^2 + C*(T1-100).*T1.^3), R0*(1 + A*T2 + B*T2.^2)]; % [Ohm]
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figure;
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plot(T, R)
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xlabel('Temperature [${}^oC$]');
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ylabel('Resistance [$\Omega$]')
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```
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For temperatures above 0 degrees, the temperature \\(T\\) can be easily computed from the measured resistance \\(R\\) using:
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\\[ T = \frac{-A + \sqrt{A^2 - 4 B ( 1 - R/R\_0 )}}{2 B} \\]
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For temperatures below 0 degrees, the equation is harder to solve analytically, and a lookup table is more appropriate.
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```matlab
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%% Compute the temperature as a function of the resistance
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R_meas_1 = 18:100;
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R_meas_2 = 100:390;
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T_meas = [(-A + sqrt(A^2 - 4*B*(1 - R_meas_2/R0)))/(2*B)];
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figure;
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plot(R_meas_2, T_meas)
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xlabel('Resistance [$\Omega$]')
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ylabel('Temperature [${}^oC$]');
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```
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## Commercial Temperature Sensors {#commercial-temperature-sensors}
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## Commercial Temperature Sensors {#commercial-temperature-sensors}
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