基于模糊逼近的一类不确定非线性系统的容错控制

Fault-tolerant control for a class of uncertain nonlinear systems based on fuzzy approximation

针对一类不确定非线性系统,提出了一种模糊容错控制方案.采用模糊T-S模型来逼近非线性系统,由线性矩阵不等式设计模糊模型的控制律.构建了模糊逻辑系统作为补偿器来抵消对非线性系统的建模误差和因故障引起的不确定性,并证明了闭环系统能够满足期望的跟踪性能.仿真实例表明了所提出容错控制方案的有效性.

A fuzzy fault-tolerant control scheme is presented for a class of uncertain nonlinear system.The original nonlinear systems is approximated by a fuzzy T-S model based on which a state-feedback controller is constructed by using the linear matrix inequalities.The approximating error and the uncertainties caused by the faults are eliminated by an adaptive compensator based on fuzzy logic systems.It is proved that the closed-loop system satisfies the anticipant tracking performance.A simulation example shows the effectiveness of the proposed fault-tolerant control scheme.