Error compensation model and algorithm implementation of high-precision pressure sensor

Abstract

The invention provides an error compensation model and an algorithm of a high precision pressure transducer. The invention uses an oven and a standard pressure source to collect the output data of the transducer under N temperature spots and M pressure spots to constitute an N*M matrix; a sensor output mathematical model is established, and the thermal compensation coefficients a(T), b(T), c(T) of the sensor output function, and the electrical null of the sensor under different temperatures are fit according to the collected data: U0(T)=f(T), and the parameters are written into a microprocessor; when the invention is used, the electrical null U0 of the restoration record transducer is clicked at the time point of zero pressure, and U0(T) is calculated through the information of the collected temperatures (T), and the time shift of the sensor within the use and compensation intervals is calculated out: delta=U0-U0(T); the microprocessor calculates the conditioner microprocessor output by collecting the information of the output signal (U) of the temperature transducer (T) and the pressure transducer according to the compensation formula: P=a(T)(U-delta)<2>+b(T)(U-delta)+c(T). The invention combines the design and production technologies of pressure sensors, the signal conditioning technology and the computer technology to achieve rectification of the pressure transducer in the wide temperature range. The pressure signal characteristic and effect is excellent.

Description

technical field [0001] The invention relates to the realization of an error compensation model and an algorithm of a high-precision pressure sensor, is the application of modern advanced signal processing technology in the field of pressure sensors, and is beneficial to improving the output characteristics of the pressure sensor. technical background [0002] Pressure sensor is a commonly used measurement device in engineering. Due to the influence of temperature and manufacturing process itself, its output characteristics will shift, resulting in inaccurate measurement results. The most important ones are nonlinearity, zero position and sensitivity temperature drift, and zero position time. Drift three errors. [0003] Traditional pressure sensor error correction methods mainly include: series and parallel resistors, thermistor network, resistor laser trimming and other methods. The trimming principles of these methods are basically the same. Carry out trimming to achieve ...

AI Technical Summary

Problems solved by technology

This method is mature, but has the following disadvantages: 1. The trimming process is cumbersome; 2. Only one sensor can be trimmed at a time, and the production efficiency is low; 3. The trimming temperature zone is fixed, and only a specific The temperature zone is adjusted, and the adjustment effect is unsatisfactory

4. It can only be adjusted once. During use, when the zero position drifts over time, it cannot be corrected again

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