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An integrated fault estimation and fault tolerant control method using H∞-based adaptive observers

机译:基于HIN的自适应观察者的集成故障估计与容错控制方法

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An integrated fault estimation/fault-tolerant control (FTC) scheme is developed in this article for nonlinear Lipschitz systems in the presence of external disturbances and actuator failures. To address this problem, coupled uncertainties between the observer error dynamics and the control system are considered, which is conveniently ignored in control approaches based on the separation principle. AnH(infinity)-based adaptive observer is proposed to simultaneously estimate the system states and actuator faults without the restrictive strictly positive realness or persistent excitation conditions. The FTC is constructed by sliding mode control using the estimated states generated by the developed observer. A novel sufficient condition is derived in terms of linear matrix inequality (LMI) including both the system control dynamics and the estimation errors; then, the control parameters and observer gains are simultaneously obtained via solving the mentioned LMI based on theH(infinity)optimization. Finally, a flexible joint robot is considered to illustrate the effectiveness of the developed method.
机译:本文在外部干扰和执行器故障的情况下为非线性LipsChitz系统开发了集成故障估计/容错控制(FTC)方案。为了解决这个问题,考虑观察者误差动态和控制系统之间的耦合不确定性,这在基于分离原理的控制方法中方便地忽略。 anh(无穷大)基于基于自适应观察者,提出同时估计系统状态和执行器故障,而无需限制严格的正实现实或持久的激励条件。通过使用开发观察者产生的估计状态来构造FTC。在包括系统控制动态和估计误差的线性矩阵不等式(LMI)方面导出了一种新颖的充分条件;然后,通过基于AH(Infinity)优化来求解所述LMI来同时获得控制参数和观察者增益。最后,认为灵活的接合机器人是为了说明开发方法的有效性。

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