Method and device for complementing temperature and pressure of pressure sensor based on two-dimensional orthogonal function

Abstract

The invention discloses a method and device for complementing the temperature and pressure of a pressure sensor based on a two-dimensional orthogonal function. The method comprises the following steps of: firstly, establishing a two-dimensional orthogonal function complementary model which can be used for realizing temperature compensation on a pressure signal or conversely carrying out real-timecompensation on a sensor temperature by using the pressure signal; then calculating a compensation factor of the model by using a least square fitting algorithm based on the two-dimensional orthogonal function; and finally substituting sampled data into the model to carry out a compensation calculation. The device comprises a piezoresistive pressure sensor, an MCU (Micro-programmed Control Unit) platform and an upper computer. The MCU platform comprises a single chip, an operational amplifier, a memory, a DA (Digital to Analog) conversion chip and a serial communication chip. In the invention, an ingenious circuit design can be effectively carried out according to the property of the pressure sensor and the implementation method is simple and novel; and the device provided by the invention has the characteristics of low cost, good real-time performance, high robustness and high precision.

Description

technical field [0001] The invention relates to the technical field of piezoresistive pressure sensors, in particular to a method and device for complementing temperature and pressure of piezoresistive pressure sensors using the least square method of two-dimensional orthogonal functions. Background technique [0002] At present, in the field of application design of piezoresistive pressure sensors, in terms of temperature compensation algorithms, there are basically two situations in many algorithms at home and abroad: one is to use traditional design methods, relying on experience to assume compensation equations in advance, and then through Polynomial fitting or interpolation method for calculation, such as curve fitting method, piecewise linear interpolation method, etc., such methods can easily lead to the occurrence of "underfitting" and "overfitting" phenomena, and the emergence of ill-conditioned equations, so that The adaptability is low, and the accuracy is low; wh...

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Problems solved by technology

[0002] At present, in the field of application design of piezoresistive pressure sensors, in terms of temperature compensation algorithms, there are basically two situations in many algorithms at home and abroad: one is to use traditional design methods, relying on experience to assume compensation equations in advance, and then through Polynomial fitting or interpolation method for calculation, such as curve fitting method, piecewise linear interpolation method, etc., such methods can easily lead to the occurrence of "underfitting" and "overfitting" phenomena, and the emergence of ill-conditioned equations, so that The adaptability is low, and the accuracy is low; while another situation overcomes the shortcomings of assuming the model first, such as using the neural network algorithm that is widely used now, training and learning first, obtaining a large amount of data, and then performing weighted calculations to obtain the results , this method of using resources in exchange for precision requires a large amount of calculation, and it will inevitably reduce its real-time performance

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