Chopping frequency control method in lidar system based on Kalman fuzzy adaptive PID

J4 ›› 2018, Vol. 35 ›› Issue (5): 608-617.

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Chopping frequency control method in lidar system based on Kalman fuzzy adaptive PID

WANG Xianyu1,2, FANG Xin1,2*, LI Tao1

1 Key Laboratory of Geospace Enviroment of Chinese Academy of Sciences, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China) 2 Sate Key Laboratory of Space Weather, Chinese Academy of Sciences, Beijing 100190, China

Received:2017-07-24 Revised:2017-08-24 Published:2018-09-28 Online:2018-09-29

Abstract

Abstract:

n order to improve the stability of chopping height of lidar echo signal, a fuzzy self-adaptive PID control method is proposed for the high speed and high torque control system of DC brushless motor in the subsequent optical path of ozone detection lidar system. On-line automatic tuning of PID parameters in different states by fuzzy reasoning is realized, and Kalman filter is used to reduce the interference of control and measurement noise. Based on control theory, performance simulation of the control algorithm is carried out using Matlab software, and control algorithm of the system is realized in LabVIEW software platform. Results show that compared with the conventional PID control method, step response time of laser chopping frequency based on the fuzzy self-adaptive PID control method is reduced by 33.3%, delay time is shorten by 60%, and rise time is reduced by 42.1%. The frequency jitter of chopper disc is only about 0.0492 Hz. The fuzzy self-adaptive PID control system has smaller steady state error, better adaptability and robustness, and better anti-interference performance.

Key words: DC brushless motor; fuzzy self-adaptive PID; Kalman filter; LabVIEW; lidar; chopping frequency

References

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Chopping frequency control method in lidar system based on Kalman fuzzy adaptive PID

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