Temperature and Nonlinearity Compensation of Pressure Sensor With Common Sensors Response

Temperature sensitivity compensation of pressure sensor considering its nonlinearity is crucial to obtain a highly accurate measurement. Unfortunately, various software methods are known to have some drawbacks, thus a large number of calibration points is necessary to model the sensor response properly. This paper aims to present a new compensation method that features the utilization of common response of the given type of sensors and the reduction of particular sensor calibration data set, which subsequently reduces the duration of necessary experiments. Mathematical formulas, which are the basis of a solution, are derived from the sensor general model. Two cases have been considered and analyzed theoretically: iterative solution with sensor response, and noniterative with sensor reproducing function. The method is experimentally verified using two sets of sensors. There is a tenfold increase in accuracy after compensation. In addition, the practical limitation of achievable accuracy by full individual calibration in the given instrumentation is estimated. The cost of simplification increases the remaining error by about 50%. Hence, the advantage is the reduction of acquisition time more than by half. The achievable accuracy is about 0.01% full scale (FS). The results demonstrate that the proposed compensation method is valid for high-accuracy measurements. Furthermore, the comparison of various cases confirms the validity of sensors similarity assumption and correctness of a theoretical analysis presented in this paper.

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