微特电机 ›› 2024, Vol. 52 ›› Issue (8): 58-62.

• 驱动控制 • 上一篇    下一篇

基于 FOA 优化 PID 参数的永磁同步电机转速控制

王  萍   

  1. 陕西工业职业技术学院 航空工程学院, 咸阳 712000
  • 收稿日期:2023-10-30 出版日期:2024-08-28 发布日期:2024-10-06
  • 基金资助:
    陕西省教育厅 2020 年服务地方专项科学研究计划( 20JC002)

Speed Control of Permanent Magnet Synchronous Motor Based on FOA Optimized PID Parameters

WANG Ping   

  1.  School of Aeronautical Engineering,Shaanxi Polytechnic Institute, Xianyang 712000,China
  • Received:2023-10-30 Online:2024-08-28 Published:2024-10-06

摘要: 为提高永磁同步电机转速控制的效果, 提出一种基于果蝇优化算法( Fruit Fly Optimization Algorithm,FOA) 优化比例积分微分控制( proportional-integral-derivative control ) 的方法。 其中,以 PMSM 调速系统为背景,构建调速系统的 PID 方法,然后构建 FOA 优化 PID 参数的 PID 控制器,以实现永磁同步电机转速系统的自适应控制。 仿真结果表明,FOA-PID 方法具有响应速度快、超调小、抗干扰能力和速度调节能力强的特点,在固定负载改变转速条件下,仅需 0. 02 s 即可达到稳定状态, 有效改善了永磁同步电机转速控制系统的控制性能; 相较于标准 PID 和RBF-PID 方法,FOA-PID 方法在正向起动转速情况下的超调量为 1. 36%,分别低 5. 73%和 1. 12%;在负向起动转速情况下,FOA-PID 方法的最大超调量为 0. 56%,分别低 15. 13%和 8. 22%。 由此得出,本 FOA-PID 方法可行,具有一定的优越性。

关键词: 永磁同步电机, 转速控制, PID 控制, 果蝇优化算法, 超调量

Abstract: To improve the speed control effect of permanent magnet synchronous motors, a method based on Fruit Fly Optimization Algorithm ( FOA) was proposed to optimize proportional integral derivative control. Among them, taking the PMSM speed control system as the background, a PID method for the speed control system was constructed, and then a PID controller with FOA optimized PID parameters was constructed to achieve adaptive control of the permanent magnet
synchronous motor speed system. The simulation results showed that the FOA-PID method had the characteristics of fast response speed, small overshoot, strong anti-interference ability, and speed regulation ability. Under the condition of changing the speed with a fixed load, it only takes 0. 02 seconds to reach a stable state, effectively improving the control performance of the permanent magnet synchronous motor speed control system. Compared to the standard PID and RBF-PID methods, the overshoot of the FOA-PID method under forward starting speed was 1. 36%, which was 5. 73% and 1. 12% lower, respectively; Under negative starting speed, the maximum overshoot of the FOA-PID method was 0. 56%, which was 15. 13% and 8. 22% lower, respectively. From this, it can be concluded that the FOA-PID method is feasible and has certain advantages.

Key words: permanent magnet synchronous motor ( PMSM ), speed control, PID control, fruit fly optimization algorithm( FOA), overshoot

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