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首页> 外文期刊>International Journal of Innovative Computing Information and Control >FUZZY ADAPTIVE ACTUATOR FAILURE COMPENSATION DYNAMIC SURFACE CONTROL OF MULTI-INPUT AND MULTI-OUTPUT NONLINEAR SYSTEMS
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FUZZY ADAPTIVE ACTUATOR FAILURE COMPENSATION DYNAMIC SURFACE CONTROL OF MULTI-INPUT AND MULTI-OUTPUT NONLINEAR SYSTEMS

机译：多输入多输出非线性系统的模糊自适应执行器故障补偿动态表面控制

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摘要

This paper develops an adaptive fuzzy control method for accommodating actuator faults in a class of uncertain multi-input and multi-output (MIMO) nonlinear systems with immeasurable states. The considered faults are modeled 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 dynamic surface control (DSC) approach with the backstepping design technique, a novel adaptive fuzzy faults-tolerant control (FTC) approach is constructed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are semi-globally uniformly ultimately bounded (SUUB) and the tracking errors and observer errors converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.
机译：提出了一种自适应模糊控制方法，用于在状态不确定的不确定多输入多输出（MIMO）非线性系统中适应执行器故障。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。将动态表面控制（DSC）方法与反推设计技术相结合，构建了一种新型的自适应模糊容错控制（FTC）方法。证明了所提出的控制方法可以保证所产生的闭环系统的所有信号都是半全局一致的最终有界（SUUB），并且跟踪误差和观察者误差收敛到原点的一个小邻域。仿真结果表明了该方法的有效性。

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