微特电机 ›› 2017, Vol. 45 ›› Issue (12): 28-31.doi: 1004-7018-45-12-28-31

• • 上一篇    下一篇

PMSM伺服系统中复合控制器设计及实现

杨毅   

  1. 国网湖北省电力公司技术培训中心,武汉 430079
  • 收稿日期:2017-06-14 出版日期:2017-12-20 发布日期:2017-12-28

Design and Implementation of ILC-ASMC Compound Controller for PMSM Servo System

Yi YANG   

  1. State Grid Hubei Electric Power Company Technical Training Center,Wuhan 430079,China
  • Received:2017-06-14 Online:2017-12-20 Published:2017-12-28

摘要:

由于永磁同步电机空间磁场分布非正弦和齿槽效应等因素的存在,致使转矩脉动及速度波动问题严重影响了伺服系统的控制精度,限制了永磁同步电机在低速高性能直驱系统的应用。针对该情况,分别使用迭代学习和自适应滑模控制来抑制系统周期性转矩脉动、以及提高系统的鲁棒性及响应的快速性,提出了基于迭代学习补偿的自适应滑模复合控制。利用实验平台对算法的有效性在不同运行条件下进行实验验证,并给出相关分析比较。

关键词: 永磁同步电机, 低速, 迭代学习, 反步自适应滑模, 速度估计

Abstract:

Because of the space magnetic field distribution of non sinusoidal, cogging and unknown factors such as the existence of torque ripple and speed fluctuation of the system seriously affects the control precision of the servo system, limits the application of permanent magnet synchronous motor in low speed high performance direct drive system. In view of the situation, iterative learning and adaptive sliding mode control were adopted to suppress the periodic torque ripple, and to improve the robustness and response speed of the system. An adaptive sliding mode composite control based on iterative learning compensation was proposed. Based on the design of the algorithm was verified, experimental verification and experiment on the effectiveness of the algorithm was designed under different operating conditions, and gives the relevant analysis and comparison.

Key words: PMSM, low speed, iterative learning control (ILC), adaptive sliding mode, speed estimation

中图分类号: