Optimum Design of PI Controller for Brushless DC Motor Based on PSO-CS Algorithm
Authors: 
Silin Cui, Xing Liu, Shoushan Jiang, Wei WuAuthors Info & Claims
Silin Cui, Xing Liu, Shoushan Jiang, Wei WuAuthors Info & ClaimsArticle No.: 21, Pages 1 - 7
Abstract
Aiming at the problems of slow response and low accuracy of traditional brushless DC motor (BLDCM) speed control system, the control strategy for the BLDCM based on PSO-CS fusion optimization algorithm to optimize the parameters of motor PI controller is proposed. Firstly, the BLDCM's double closed-loop control system mathematical model is established. Secondly, based on PSO-CS fusion optimization algorithm, a PI controller parameter optimization method is designed to determine the optimal parameters for motor speed control. Finally, the BLDCM control system model is built in MATLAB / Simulink. The current loop adopts traditional PI control, and the speed loop is controlled by traditional PI, PSO PI and PSO-CS PI respectively. The operation of the motor under different working conditions is simulated. The research shows that compared with the basic PSO algorithm, the PSO-CS fusion optimization algorithm has higher computational accuracy, and the parameter values obtained by using PSO-CS algorithm to optimize PI controller are better. At the same time, the PSO-CS PI controller has a better effect on BLDCM speed control. Also, it has low overshoot and short adjusting time. It shows that the proposed control strategy can make the BLDCM system has good robustness and stability.
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Published In
December 2022
199 pages
ISBN:9781450399548
DOI:10.1145/3588340
Copyright © 2022 ACM.
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Published: 03 November 2023
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ICBICC 2022
ICBICC 2022: 2022 International Conference on Big data, IoT, and Cloud Computing
December 2 - 4, 2022
Chengdu, China
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