Paper
15 March 2024 Application of GA in motor transfer function
Chen Wang, Xiaodong Yao
Author Affiliations +
Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 1307514 (2024) https://doi.org/10.1117/12.3026145
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China
Abstract
Due to the inherent shortcomings of traditional PID control, such as manual adjustment of PID parameters and slow response speed, it is precisely because of these problems that the motor PID control cannot achieve the desired effect. A motor PID control algorithm based on GA optimization algorithm is proposed to address the inherent problems of traditional PID control. Establish GA optimized PID control simulation and fuzzy control PID simulation on the platform, compare the step response curves obtained by the two, and explain the differences between the two and traditional PID control, as well as the shortcomings of traditional PID control that have been improved.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chen Wang and Xiaodong Yao "Application of GA in motor transfer function", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 1307514 (15 March 2024); https://doi.org/10.1117/12.3026145
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KEYWORDS
Genetic algorithms

Mathematical optimization

Picosecond phenomena

Control systems

Fuzzy logic

Genetics

Control systems design

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