Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

ZiYuan Wang; Wei Ge

doi:10.1117/12.2651636

23 January 2023 Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization

ZiYuan Wang, Wei Ge

Author Affiliations +

Proceedings Volume 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 125572Z (2023) https://doi.org/10.1117/12.2651636
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

As a high-precision position actuator, the voice coil motor (VCM) is widely used in technology of segmented mirror and mirror shape correction in space telescope. In response to the adverse effects of internal and external disturbances on the precision positioning of the VCM, an improved particle swarm optimization (PSO) based active disturbance rejection control (ADRC) VCM position control model is proposed in this paper. Our model is able to present a reasonable solution to the problem that ADRC has numerous parameters which are knotty to configure. In order to prevent precocious convergence or falling into local optimal, a variable weight factor search method is proposed. MATLAB and Simulink are employed for co-simulation and control experiment are designed. The simulation results show that compared with traditional PID control, the control model designed in this paper has better dynamic performance, higher tracking accuracy and better disturbance rejection performance, and it is suitable for high-precision position control under complex environment with a bright engineering application prospect.

Citation Download Citation

ZiYuan Wang and Wei Ge "Research on active disturbance rejection control of voice coil motor based on improved particle swarm optimization", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 125572Z (23 January 2023); https://doi.org/10.1117/12.2651636

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