不确定系统的模型参考自适应模糊控制

Model Reference Adaptive Fuzzy Control for Uncertain Systems

针对一类不确定非线性系统,基于王立新1994年提出的监督控制方案并利用广义多线性模糊逻辑系统的逼近能力,提出了一种MIMO系统的模型参考自适应模糊控制器设计的新方案.通过引入最优逼近误差的自适应补偿项来消除建模误差的影响,不但能保证闭环系统稳定,而且可使跟踪误差收敛到接近零.仿真结果表明了该方法的有效性.

Based on the supervisory control strategy presented by Wang Lixin in 1994 and the approximation capability of generalized multilinear fuzzy logic systems （GMFLS）, a new adaptive fuzzy control scheme called model reference adaptive fuzzy control （MRAFC） for MIMO systems is proposed in this paper. The adaptive compensation terra of optimal approximation error is adopted. By theoretical analysis, the closed-loop fuzzy control system is proved to be globally stable with tracking error converging to zero. Simulation results demonstrate the effectiveness of the approach.