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Adaptive fuzzy fault-tolerant output feedback control of uncertain nonlinear systems with actuator faults

机译:带有执行器故障的不确定非线性系统的自适应模糊容错输出反馈控制

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摘要

This article develops an adaptive fuzzy control method for accommodating actuator faults in a class of unknown nonlinear systems with unmeasured states. The considered faults are modelled as both loss of effectiveness and lock-in-place (stuck at unknown place). With the help of fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is developed for estimating the unmeasured states. Combining the backstepping technique with the nonlinear tolerant-fault control theory, a novel adaptive fuzzy faults-tolerant control approach is constructed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded and the tracking error between the system output and the reference signal converges to a small neighbourhood of zero by appropriate choice of the design parameters. Simulation results are provided to show the effectiveness of the control approach.
机译:本文开发了一种自适应模糊控制方法,用于解决一类未知的带有不可测状态的非线性系统中的执行器故障。考虑的故障被建模为有效性下降和就地锁定(卡在未知位置)。借助于模糊逻辑系统来近似未知的非线性函数,开发了一种模糊自适应观测器来估算未测状态。将反推技术与非线性容错控制理论相结合,构造了一种新型的自适应模糊容错控制方法。实践证明,通过适当选择设计参数,可以保证闭环系统的所有信号有界,系统输出与参考信号之间的跟踪误差收敛到零附近。仿真结果表明了该控制方法的有效性。

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