Particle swarm optimization of fuzzy PI control for PMSMs

Shijiao Wang; Chengming Jiang; Qunzhang Tu; Huidong Shu; Changlin Zhu

Particle swarm optimization of fuzzy PI control for PMSMs

Vol. 23, No. 10, pp. 1585-1593, Oct. 2023

10.1007/s43236-023-00643-x

Particle Swarm Optimization

PMSM

Fuzzy PI

Abstract

To solve the problems of the slow response speed and poor adaptive capability of a permanent magnet synchronous motor (PMSM) under a fuzzy PI control system, a particle swarm optimization (PSO) fuzzy PI method is proposed as a parameter optimization control scheme in this paper. The proportion factor and quantization factor in fuzzy PI control are optimized through the iteration of a PSO algorithm. In addition, the parameters of the PI control are intelligently adjusted through the fuzzy control. A simulation model is developed using MATLAB/Simulink, and an experimental platform is constructed to verify the proposed algorithm. Test results demonstrate that the fuzzy PI control optimized by PSO improves the convergence accuracy of a system and reduces the speed ring overshoot to a minimum. Furthermore, the PSO-optimized fuzzy PI control exhibits characteristics such as small torque ripple, strong anti-interference capability, and fast dynamic response.

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Cite this article

[IEEE Style]

S. Wang, C. Jiang, Q. Tu, H. Shu, C. Zhu, "Particle swarm optimization of fuzzy PI control for PMSMs," Journal of Power Electronics, vol. 23, no. 10, pp. 1585-1593, 2023. DOI: 10.1007/s43236-023-00643-x.

[ACM Style]

Shijiao Wang, Chengming Jiang, Qunzhang Tu, Huidong Shu, and Changlin Zhu. 2023. Particle swarm optimization of fuzzy PI control for PMSMs. Journal of Power Electronics, 23, 10, (2023), 1585-1593. DOI: 10.1007/s43236-023-00643-x.