Abstract
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.
Highlights
The technology of distance measurement based on acceleration has a long history
After the acceleration signal was obtained, velocity or displacement signals could be obtained by means of integration
This paper has designed a distance measurement system based on the MEMS acceleration sensor
Summary
The technology of distance measurement based on acceleration has a long history. It has been widely used and developed in the fields of building health detection, micro-displacement measurement of roads and bridges, inertial navigation, and so on. As early as in the 1960s, Berg proposed that there was a very simple transformation relationship among acceleration, velocity, and displacement signals at each point in the motion process of an object. After the acceleration signal was obtained, velocity or displacement signals could be obtained by means of integration. the distance measurement technology based on acceleration is used to measure the ground deformation and the vibration velocity and displacement of other structures during earthquakes. The distance measurement technology based on acceleration is used to measure the ground deformation and the vibration velocity and displacement of other structures during earthquakes. By modulating and demodulating the optical signal, it filters out the interference of the clutter signal and obtains the precise position signal of the illumination place Another example is the radio fuze based on the Doppler effect, which emits electromagnetic waves to the target and receives the echo signal returned by the target.. Another example is the radio fuze based on the Doppler effect, which emits electromagnetic waves to the target and receives the echo signal returned by the target.7 These distance measurement methods have great limitations. In order to obtain high ranging accuracy, the acceleration signal collected by the MEMS accelerometer must be processed effectively. The DSP microprocessor can process and control the acceleration signal accurately in real time
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