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

电液伺服系统的小波自适应鲁棒反演控制
引用本文:乔继红,施冰,戴亚平,王洪艳.电液伺服系统的小波自适应鲁棒反演控制[J].北京理工大学学报,2008,28(5):405-409.
作者姓名:乔继红  施冰  戴亚平  王洪艳
作者单位:1. 北京理工大学,信息科学技术学院自动控制系,北京,100081;北京工商大学,信息工程系,北京,100037
2. 云南大理学院,数学与计算机系,云南,大理,6710003
3. 北京理工大学,信息科学技术学院自动控制系,北京,100081
4. 装甲兵工程学院,信息工程系,北京,100072
摘    要:针对电液伺服系统,提出了一种小波自适应鲁棒反演控制方法.用两个小波神经网络来逼近电液伺服系统中的模型未知部分、参数不确定项和虚拟控制的导数,所有小波神经网络的参数均实现在线调节.控制律和自适应律的设计保证了闭环系统一致且最终有界,从而达到对非线性电液伺服系统稳定跟踪控制的目的.鲁棒补偿器的设计进一步改进了电液伺服系统的跟踪性能.仿真结果表明,该方法能较好地满足控制精度的要求,同时系统具有较强的适应性和鲁棒性.

关 键 词:电液伺服系统  小波神经网络  自适应鲁棒控制  反演控制
文章编号:1001-0645(2008)05-0405-05
收稿时间:2007/11/15 0:00:00
修稿时间:2007年11月15

Adaptive Wavelet Backstepping Control for Eelectro-Hydraulic Servo Systems
QIAO Ji-hong,SHI Bing,DAI Ya-ping and WANG Hong-yan.Adaptive Wavelet Backstepping Control for Eelectro-Hydraulic Servo Systems[J].Journal of Beijing Institute of Technology(Natural Science Edition),2008,28(5):405-409.
Authors:QIAO Ji-hong  SHI Bing  DAI Ya-ping and WANG Hong-yan
Institution:Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China; College of Information Engineering, Beijing Technology and Business University, Beijing 100037, China;College of Math and Computer, Dali University, Dali, Yunnan 671003, China;Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Department of Information Engineering, the Academy of Armored Forces Engineering of PLA, Beijing 100072, China
Abstract:Adaptive an wavelet backstepping control(WARBC) systems is proposed for electro-hydraulic servo systems.Two wavelet neural networks are used to approach the arbitrary model uncertainties of electro-hydraulic servo system,and all their weights are trained online.Novel update and control laws are proposed to guarantee that all the signals in the closed-loop control system are uniformly ultimately bounded(UUB) in a Lyapunov sense.As a result,the aim of electro-hydraulic servo system's tracking control can be achieved.In addition,a robust compensator is designed to improve the tracking performance.Finally,a computer simulation example is presented to illustrate the effectiveness and applicability of the suggested proposal.
Keywords:electro-hydraulic system  wavelet neural network  adaptive robust control  backstepping control
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《北京理工大学学报》浏览原始摘要信息
点击此处可从《北京理工大学学报》下载免费的PDF全文
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