首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络自抗扰控制的无刷直流电机控制器研究
引用本文:杨巧玲,郝晓弘,张海平.基于神经网络自抗扰控制的无刷直流电机控制器研究[J].科学技术与工程,2008,8(24).
作者姓名:杨巧玲  郝晓弘  张海平
作者单位:1. 兰州理工大学电信学院,兰州,730050
2. 天华化工机械及自动化研究设计院,兰州,730060
摘    要:自抗扰控制(ADRC)是在继承经典PID不依赖于对象模型优点的基础上,通过改进经典PID固有缺陷而形成的新型控制技术,性能优良。但对于对象变化范围大的系统,仍难获得理想的控制效果。为此,将神经网络与自抗扰控制器相结合,在分析永磁无刷直流电机特点及使用现状的基础上,建立了基于神经网络自抗扰控制器的无刷直流电机控制系统。仿真结果表明,该控制器对无刷直流电机模型的不确定性和外部扰动变化具有较强的适应性和鲁棒性。系统具有良好的动态响应性能。

关 键 词:自抗扰控制器  无刷直流电机  神经网络

Study on Brushless DC Motors Controller Based on ADRC with ANN Optimization
YANG Qiao-ling,HAO Xiao-hong,ZHANG Hai-ping.Study on Brushless DC Motors Controller Based on ADRC with ANN Optimization[J].Science Technology and Engineering,2008,8(24).
Authors:YANG Qiao-ling  HAO Xiao-hong  ZHANG Hai-ping
Institution:YANG Qiao-ling,HAO Xiao-hong,ZHANG Hai-ping1(College of Electrical , Information Engineering,Lanzhou University of Science , Technology,Lanzhou 730050,P.R.China,Tianhua Research Institute of Chemical Machinery , Automation1,Lanzhou 730060,P.R.China)
Abstract:Inheriting the merit of independent of system model and overcoming the shortcomings of classic PID controller,auto-disturbances-rejection controller(ADRC)possesses good performance with relatively simple algorithm Through combining neural networks with auto ADRC based on the mathematical model of the brushless DC motor,a new strategy for brushless DC motor control system has been proposed in this paper.The simulation results have shown that the controllers achieve very good robustness undermodeling uncertai...
Keywords:auto-disturbances-rejection controller brushless DC motor neural network  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号