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永磁同步电动机自适应逆控制系统设计

发布日期:2015-05-14| 阅读次数: | 关键字:38-4 | 作者:宫玉琳 | 来源:长春理工大学学报:自然科学版 2015 Vol.38(4): 061-064

永磁同步电动机自适应逆控制系统设计

宫玉琳

(长春理工大学电子信息工程学院,长春130022

摘要:针对永磁同步电动机的非线性、多变量、强耦合的复杂系统,提出了一种改进自适应逆控制策略。该控制策略将改进的径向基函数神经网络与FIR 滤波器并联作为非线性自适应滤波器,用于系统的建模辨识、扰动消除器和自适应逆控制器的设计。同时,采用改进的变步长LMS 算法对非线性滤波器的参数进行在线优化,提高了非线性滤波器的收敛速度和精度,进而提高了自适应逆控制的性能。仿真对比分析和实验结果表明,采用提出的改进自适应逆控制策略的永磁同步电动机控制系统具有良好的动、静态特性和较强的鲁棒性。

关键词:永磁同步电动机;自适应逆控制;非线性滤波器;变步长LMS 算法

中图分类号: TN713 文献标识码:A 文章编号:1672-9870201504-0061-04

 

Design and Implementation of Adaptive Inverse Control

for Permanent Magnet Synchronous Motor

GONG Yulin

School of Electronics and Information EngineeringChangchun University of Science and TechnologyChangchun 130022

AbstractTo aim directly at the suspension system of the PMSM which was a nonlinearmulti variables strong coupling systema modified adaptive inverse control strategy was proposed. This control strategy adopt modified radial basis function neural network and FIR filter as nonlinear filterand it was adopted as adaptive filter. It was used to identify the system inverse system and designed the adaptive inverse controller. Meanwhile modified variable step size LMS algorithm was used to optimize the parameters of the nonlinear filter online. This algorithm improved the convergence speed and accuracyfurther improved the control performance of adaptive inverse control. The results of simulation and experiments indicate the PMSM servo system has better dynamicstatic performance and robustness by using modified adaptive inverse control strategy.

Key wordsPMSMadaptive inverse controlnonlinear filtervariable step size LMS algorithm

 

基金项目:国家自然基金资助项目(60772005

作者简介:宫玉琳(1983-),男,博士,讲师,E-mailgarrygong1983@126.com

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