自适应模糊变结构控制器的一种新设计

New Design of an Adaptive Fuzzy Variable Structure Controller

针对一类非线性系统 ,基于一种修改的李亚普诺夫函数并利用 I型模糊系统的逼近能力 ,提出一种稳定自适应模糊控制器设计的新方案。该方案能够避免现有的一些自适应模糊 /神经网络控制器设计中对控制增益一阶导数上界的要求。理论分析证明了闭环控制系统是全局稳定的 ,跟踪误差收敛到零。仿真结果表明了该方法的有效性。

A new scheme of stable adaptive fuzzy controller for a class of nonlinear systems is proposed. The design is based on a modified Lyapunov function and the approximation capability of the first type fuzzy systems. The approach does not require the upper bound of the first time derivative of the control gain. The closed loop control system is shown to be globally stable in the sense that all signals involved are bounded, with tracking errors converging to zero. Simulation results demonstrate the effectiveness of the approach.