NTC calibration and multiple temperature sensors: Difference between revisions
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V(R_1 + R_n) = V_in R_2 | |||
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=== Calibrating: Steinhart-Hart Equation === | === Calibrating: Steinhart-Hart Equation === | ||
Revision as of 15:49, 6 September 2023
Introduction
Calibration of NTC sensors and different
NTC
Note that the temperature of the sensor rises when the current supplies through the resistor. The NTC is nonlinear; see below Calibration.
Negative Temperature Coefficient, NTCLE100E3101JB0 or similar (MF52B NTC Thermistor). The NTC is connected in series with a "shunt" resistor , see Measurement of resistors: voltage divider. Usually Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle R_1 = 10kOhms} is used. The total resistance of the circuit is Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle R = R_1 + R_{NTC}} , which gives
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \begin{align} R_{NTC} &= \frac{U_\text{measured}}{U-U_\text{measured}}R_1 \\ \end{align} }
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \begin{align} V(R_1 + R_n) = V_in R_2 \end{align} }
Calibrating: Steinhart-Hart Equation
A nonlinear Steinhart-Hart equation is widely used
Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \frac 1T = A + B \ln(Rt) + C (\ln (Rt))^3 }
Calibrating using known datapoints
Though the NTC sensor is nonlinear, locally it will be linear. Thus by using some known datapoints the temperature can be estimated.