一类非线性MIMO系统的自适应模糊输出反馈控制  

Adaptive Fuzzy Output Feedback Control for A Class of Nonlinear MIMO Systems

作　　者：王永富[1] 柴天佑[2] 

机构地区：[1]东北大学教育部暨辽宁省流程工业综合自动化重点实验室,辽宁沈阳110004 [2]东北大学自动化研究中心,辽宁沈阳110004

出　　处：《系统仿真学报》2005年第10期2442-2446,共5页Journal of System Simulation

基　　金：国家重点基础研究发展计划项目(2002CB312201)

摘　　要：针对一类多输入多输出非线性系统设计了自适应模糊观测器和控制器。该方法不需要系统状态完全可测的条件,而是通过自适应模糊观测器估计系统的状态。采用基于状态估计的模糊基函数模型的模糊逻辑系统逼近非线性函数,并对模糊建模误差和外扰的存在采用了鲁棒补偿控制项以保证良好的观测与跟踪性能,该控制器保证了跟踪误差和观测误差的一致最终有界性。仿真结果表明所提出的方法具有良好的观测效果与跟踪效果。An observer-based robust adaptive fuzzy tracking control for a class of nonlinear multiple-input multiple-output systems was presented with plant unknown and external disturbances. It was assumed that only the system outputs could bemeasured, and the state variables were estimated via an observer based on fuzzy basis functions. The adaptive fuzzy controller with an observer could guarantee the uniform ultimate bounds of the tracking errors and the observer errors as well as the bounds of the adaptive parameters. First, a nonlinear observer was designed based on FBF to estimate the state variables in which a fuzzy logic systems was introduced to learn these unknown （or uncertain） dynamics by an adaptive algorithm. Then, an indirect adaptive fuzzy controller based on fuzzy observer was presented. Simulation results demonstrate the applicability of the proposed method achieves the desired performance.

关 键 词：非线性系统 模糊观测器 一致最终有界 模糊控制 严格正实 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]