摘要
针对一类状态不可测的单输入单输出非线性不确定系统,提出了一种基于观测器的混合直接自适应模糊辨识与控制方法。设计中,将观测器、直接自适应模糊控制器与自适应模糊辨识模型相结合,用跟踪误差估计和辨识误差去调整系统的参数,以取得更好的逼近和跟踪效果。基于Lyapunov方法,证明了闭环系统的稳定性,跟踪误差渐近收敛到零点的一个小邻域内,仿真结果验证了该方法的有效性。
An observer-based hybrid direct adaptive fuzzy identification and control method was proposed for a class of single-input single-output nonlinear systems, which worked on condition that input states were not available for measurement. Since this method combined direct adaptive fuzzy control and adaptive fuzzy model with observer in design, utilizing two types of errors （estimate tracking error and identification error）, which not only made system output follow a bounded reference signal, but also obtained a good approximation system model. Based on Lyapunov method, the proposed approach was proved stable, and the tracking error was of asymptotic convergence to the zero point boundedness. Finally, the simulation results illustrated the effectiveness of the proposed approach.
出处
《辽宁工业大学学报（自然科学版）》
2009年第1期8-14,共7页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
国家自然科学基金资助(60674056)
辽宁省优秀青年人才基金(2005219001)
关键词
非线性系统
自适应模糊控制
自适应辨识
误差观测器
nonlinear systems
adaptive fuzzy control
adaptive identification
error observer.
