摘要
针对一类单输入单输出非仿射非线性系统,提出了基于观测器的自适应模糊输出反馈控制。该算法通过构造线性误差观测器估计系统输出误差和系统状态,利用估计状态变量和估计输出误差变量设计自适应控制律,采用模糊逻辑系统在线消除非线性系统中的不确定模型,引入监督控制消除系统逼近误差和外界干扰,并利用Lyapunov方法严格证明了在该控制律作用下闭环系统所有信号一致最终有解,闭环系统的输出能最终跟踪期望输出。仿真结果表明了该方法的有效性。
This paper presents a direct adaptive output-feedback fuzzy controller for a class of single input single output unknown non-affine nonlinear systems. A linear error observer is employed to estimate output errors and states, an adaptive controller is designed by using observed errors and state variables. A fuzzy logic system is employed to approximate unknown plant nonlinearity. A supervisory control is introduced to compensate the approximation error and disturbances. The overall adaptive scheme guarantees that all signals involved are bounded and the output of the closed-loop system will asymptotically track the desired output trajectory, Simulation results demonstrate the effectiveness and performance of the proposed approach.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2009年第7期1694-1698,共5页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(90716028)