Adaptive Decentralized Fault-tolerant Control for Uncertain Nonlinear Time-delay Large Scale Systems
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摘要: 针对一类不确定非线性时滞关联大系统，提出了一种基于时滞代换的自适应分散容错控制方案.该方案采用模糊逻辑系统作为逼近器，提出了时滞代换的方法处理系统未知时滞关联函数，并结合自适应技术处理代换误差和逼近误差.与现有方法相比，本文方法能在线补偿所有四种类型的执行器故障，系统控制器的设计也不再依赖于时滞假设条件，同时还可保证闭环系统所有信号全局一致最终有界.仿真结果进一步验证了本文方法的有效性.Abstract: In this paper, a delay replacement based adaptive decentralized fault-tolerant control method is proposed for a class of uncertain nonlinear time-delay large-scale systems. With fuzzy logic systems as approximators, a novel delay replacement technique is proposed to deal with the unknown delayed nonlinear interconnection functions, and adaptive technique is combined to deal with the errors of replacement and approximation. Compared with the existing results, all of the four types of actuator faults can be compensated for online, the controller design is no longer depended on the assumptions of the time-delays, and the globally uniformly ultimately boundedness of the closed-loop system is guaranteed. Simulation results are provided to show the effectiveness of the control approach.
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