Automatic online tracking method for sensor zero drift

Abstract

To solve problems of automatic online tracking and real-time compensation of sensor zero drift, an automatic online tracking method for the sensor zero drift is proposed. The sensor zero drift problem in a test and measurement process of the sensor is a big problem which is troubling people all the time. To weaken effects of the zero drift, people propose all kinds of methods: 1. according to implementation conditions, the methods include a hardware circuit compensation method and a software compensation method; 2. a neural network method; and 3. an automatic zero-setting circuit. The above-mentioned three methods enable zero drift of a specific kind to be dealt with greatly. However, zero tracking cannot be carried out greatly and automatic online tracking cannot be realized. But this method enables an automatic online tracking function to be realized and at the same time requires fewer registers for sample data storage at a previous moment and at a current moment and fewer calculations so that problems of big data storages and a large quantity of calculations are avoided and the function of automatic online tracking of the zero drift can be realized excellently.

Description

technical field [0001] The invention belongs to the technical field of weak current signal detection and measurement, and can be used for zero drift tracking and compensation in Wheatstone bridge circuits. Background technique [0002] Sensors are used more and more widely in the field of detection and measurement technology, and it is the primary link to realize automatic detection and automatic control. However, the problem of the zero point drift of the sensor has always been a big problem for people. The main reason is that the zero point drift is greatly affected by the temperature and the external environment, and it is a nonlinear and random process. It is impossible to give a descriptive drift process. The function expression of , and then it cannot be compensated precisely. [0003] In order to reduce the influence of zero drift, various methods have been proposed. According to the realization conditions, it can be divided into hardware circuit compensation and so...

AI Technical Summary

Problems solved by technology

These two types of methods can only measure the zero drift value when needed, and cannot realize automatic online tracking of zero drift

More importantly, there is a lot of noise in the zero-point drift signal, and it is imprecise and imprecise to only use one or several measurements as a credible zero-point drift

[0011] The above methods can deal with a certain type of zero drift problem very well, but they cannot track the zero point very well, and cannot realize automatic online tracking

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