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Adaptive fuzzy sliding mode control for MIMO nonlinear systems subject to actuator faults and external disturbances

机译:具有执行器故障和外部干扰的MIMO非线性系统的自适应模糊滑模控制

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A class of MIMO unknown nonlinear systems subject to uncertain actuator faults and external disturbances is studied in this paper using fuzzy approximation theory and sliding modes. Using the universal approximation theorem, an adaptive fuzzy control law is proposed to accommodate the uncertain actuator faults during operation. The considered faults are modeled as both loss of effectiveness and lock-in-place (stuck at some unknown place). Thanks to sliding mode technique, we proved that the proposed control scheme can guarantee that all signals of the closed-loop system to be semi-globally uniformly ultimately bounded and the convergence of the tracking error. A simulation example is presented to show the efficiency of the proposed approach.
机译:利用模糊逼近理论和滑模,研究了一类受不确定执行器故障和外部干扰影响的MIMO未知非线性系统。利用通用逼近定理,提出了一种自适应模糊控制律,以适应运行过程中不确定的执行器故障。所考虑的故障被建模为有效性丧失和就地锁定(卡在某个未知的地方)。多亏了滑模技术,我们证明了所提出的控制方案可以保证闭环系统的所有信号最终成为半全局一致的有界和跟踪误差的收敛性。给出了一个仿真实例,以说明所提方法的有效性。

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