Simulation study of brushless DC motor speed control system based on GA-PID

Yang Tang; Hao Chen; Faxin Zhu

doi:10.1117/12.3014483

9 January 2024 Simulation study of brushless DC motor speed control system based on GA-PID

Yang Tang, Hao Chen, Faxin Zhu

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129692X (2024) https://doi.org/10.1117/12.3014483
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

This paper, based on the principles of brushless DC motors, constructs a mathematical model and combines genetic algorithms with traditional PID control. Genetic algorithms are used for parameter optimization to obtain the optimal solution for PID control, achieving higher control precision and stability. A simulation model of the motor and control system is developed using Simulink, and various operational conditions, including normal startup and sudden speed changes during operation, are simulated. The results show significant improvements in the motor's response speed and control precision. There is no overshoot during the startup phase, and the error during constant-speed operation is below 0.5%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Tang, Hao Chen, and Faxin Zhu "Simulation study of brushless DC motor speed control system based on GA-PID", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129692X (9 January 2024); https://doi.org/10.1117/12.3014483

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