首页 | 本学科首页   官方微博 | 高级检索  
     

一类复杂非线性系统的模糊控制
引用本文:杜贞斌,胡寿松.一类复杂非线性系统的模糊控制[J].控制理论与应用,2008,25(4):780-782.
作者姓名:杜贞斌  胡寿松
作者单位:1. 烟台大学计算机学院,山东,烟台,264005南京航空航天大学自动化学院,江苏,南京,210016
2. 南京航空航天大学自动化学院,江苏,南京,210016
基金项目:国家自然科学基金,中国航空科学基金,教育部高等学校博士学科点专项科研基金
摘    要:针对一类复杂非线性系统,把模糊T-S模型和自适应模糊逻辑系统结合起来,提出了一种跟踪控制方案.首先,应用模糊T-S模型对非线性系统建模,设计观测器用来观测系统状态:其次,应用基于权值、中心和宽度3个参数可调节的自适应时延模糊逻辑系统补偿器来消除建模误差和小确定性.文中证明了闭环系统满足期望的跟踪性能.示例仿真结果表明了该方案的有效性.

关 键 词:模糊T-S模型  自适应模糊逻辑系统  非线性系统  不确定性  时延  跟踪控制
收稿时间:5/8/2006 12:00:00 AM
修稿时间:2007/4/17 0:00:00

Fuzzy control for a class of complex nonlinear systems
DU Zhen-bin and HU Shou-song.Fuzzy control for a class of complex nonlinear systems[J].Control Theory & Applications,2008,25(4):780-782.
Authors:DU Zhen-bin and HU Shou-song
Affiliation:School Of Computer Science and Technology, Yantai University, Yantai Shandong 264005, China; College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China
Abstract:Combining fuzzy Takagi-Sugeno(T-S)model with adaptive fuzzy logic systems,we present a tracking control scheme for a class of complex nonlinear systems.Firstly,the fuzzy T-S model is used to approximate to the nonlinear systems,and an observer is designed to generate the system states.Secondly,the modeling errors and the uncertainty are eliminated by a compensator based on the adaptive time-delay fuzzy logic systems with three adjustable parameters:weights,centers and widths.It is proved that the closed loop system satisfies the desired tracking requirements. The simulation results demonstrate the efficacy of thee control scheme.
Keywords:fuzzy T-S model  adaptive fuzzy logic systems  nonlinear systems  uncertainty  time-delay  tracking 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《控制理论与应用》浏览原始摘要信息
点击此处可从《控制理论与应用》下载全文
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