Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Particle swarm optimization of fuzzy PI control for PMSMs

  • Shijiao Wang (College of Field Engineering, Army Engineering University of PLA) ;
  • Chengming Jiang (College of Field Engineering, Army Engineering University of PLA) ;
  • Qunzhang Tu (College of Field Engineering, Army Engineering University of PLA) ;
  • Huidong Shu (College of Field Engineering, Army Engineering University of PLA) ;
  • Changlin Zhu (College of Field Engineering, Army Engineering University of PLA)
  • Received : 2022.12.05
  • Accepted : 2023.04.19
  • Published : 2023.10.20
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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.

Keywords

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