Research on distance measurement method based on micro-accelerometer

Limited by some engineering occasions and displacement sensors, it is usually difficult to measure the distance of moving objects directly. However, the acceleration of the moving object is usually easy to measure, so the distance of the moving object can be easily obtained through the acceleration integral. To solve this problem, a distance measurement system based on the micro-electro-mechanical system accelerometer is designed. The hardware structure of the system includes the data measurement module, data acquisition module, and data processing module. Thanks to the excellent characteristics of the sensor, the system can be used in a small space, overload impact, and other harsh environments. In this paper, a time domain algorithm based on acceleration integration is proposed. The algorithm not only has no loss of sampling points but also has cubic algebraic accuracy. The fixed output error caused by the installation position of the sensor is analyzed. The analysis shows that the error will lead to a serious trend error. For this problem, an algorithm for removing the trend term error is given. Aiming at the random zero drift of the sensor, the Kalman filter algorithm is used to reduce noise. The distance measurement experiment is carried out on the horizontal slide rail, and the calculation results show that the average measurement accuracy of this distance measurement system can reach 97.89%. The experimental results show the feasibility of the system and the validity of the data processing algorithm. The accuracy of the distance measurement system can meet most of the engineering needs, so it has important significance in the field of engineering distance measurement.