不确定时滞关联大系统的全局稳定模糊容错控制

研究了一类带有时变时滞的不确定非线性关联大系统的自适应模糊容错控制问题.用有界的参考信号代换模糊逼近器输入中的未知时滞信号,使得控制器的设计与应用不再依赖于时滞假设条件,使得控制器的设计和控制方法的应用更为方便.容错反推控制技术和自适应技术相结合来处理代换误差和逼近误差.所提出的方案能有效补偿所有4种类型的执行器故障,同时还可保证闭环系统的全局稳定性.仿真结果进一步验证了本文方法的有效性.

Fuzzy fault-tolerant control for global stabilization of uncertain time-delay large-scale systems

The fuzzy fault-tolerant control problem is studied for global stabilization of a class of uncertain nonlinear interconnected large-scale systems with unknown time varying time delays. The unknown delayed input signals of the fuzzy approximator are substituted by the bounded references signals, and as a result, the control design and application are not dependent on the delay assumptions any more, so that the convenience of the controller design and application is greatly improved. The fault-tolerant backstepping control and the adaptive control technique are combined to deal with the errors of the replacement and the approximation. The proposed control scheme can compensate for all of the four types of actor faults efficiently, and global stability of the closed-loop system is guaranteed. Simulation results are provided to show the effectiveness of the control approach.