计算机与现代化

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基于改进粒子群算法的永磁同步电机PID控制器

  

  1. 1.河南工业职业技术学院智能控制工程中心,河南南阳473000;
    2.河南工业职业技术学院电子工程系,河南南阳473000
  • 收稿日期:2015-03-02 出版日期:2015-07-23 发布日期:2015-07-28
  • 作者简介:陆剑(1980-),男,湖北黄石人,河南工业职业技术学院智能控制工程中心讲师,硕士,研究方向:电气自动化,电子信息技术; 张柯(1964-),男,河南南阳人,河南工业职业技术学院电子工程系实验师,本科,研究方向:电气自动化,电子信息技术。
  • 基金资助:
    河南省科技攻关项目(142102210368)

PID Controller of Permanent Magnet Synchronous Motor Based #br# on Improved Particle Swarm Optimization Algorithm

  1. 1. Center of Intelligent Control Engineering, Henan Polytechnic Institute, Nanyang 473000, China;

    2. Department of Electronic Engineering, Henan Polytechnic Institute, Nanyang 473000, China
  • Received:2015-03-02 Online:2015-07-23 Published:2015-07-28

摘要: 为提高永磁同步电机系统的控制精度,提出一种使用改进粒子群算法优化的永磁同步电机PID控制器。首先建立永磁同步电机数学模型,然后采用改进粒子群算法对PID控制器参数进行优化,实现永磁同步电机参数在线辨识,最后采用仿真实验对其性能进行测试。仿真结果表明,相对于传统的永磁同步电机PID控制器,本文方法优化的永磁同步电机PID控制器改善了系统响应性能,能够使永磁同步电机获得良好的稳定性、鲁棒性和动态性能。

关键词: 永磁同步电机, 矢量控制, 粒子群优化算法, 参数优化

Abstract: In order to improve the control precision of the permanent magnet synchronous motor system, this paper puts forward a permanent magnet synchronous motor PID controller based on improved particle swarm optimization algorithm. Firstly, the mathematical model of permanent magnet synchronous motor is established, and then the improved particle swarm optimization algorithm is used to optimize the parameters of PID controller and to realize the online identification of permanent magnet synchronous motor parameters, finally the simulation experiment is used to test its performance. The simulation results show that compared with the traditional PID controller, the proposed PID controller can improve the system response performance, and can obtain a good stability, robustness and dynamic performance for the permanent magnet synchronous motor.

Key words: permanent magnet synchronous motor, vector control, particle swarm optimization algorithm, parameter optimization

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