Research on Speed Measurement Algorithm Based on LMS Adaptive Filtering and d-Step Prediction

In this paper, for the non-contact speed measurement technology of maglev train, the speed resolution is limited, the speed measurement accuracy needs to be further improved, and the sensor signal is easily disturbed, which leads to speed oscillation. Firstly, the speed system error and random error are analyzed. Secondly, a speed measurement algorithm based on LMS adaptive filtering and d-step prediction is proposed to improve the speed measurement accuracy and anti-interference performance of the speed measurement system.