一类复杂非线性系统的模糊控制

Fuzzy control for a class of complex nonlinear systems

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不确定性.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.

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.