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Analysis and detection of incipient faults in post-fault systems subject to adaptive fault-tolerant control

机译:自适应容错控制的故障后系统初发故障的分析与检测

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This paper presents an effective scheme for detecting incipient faults in post-fault systems (PFSs) subject to adaptive fault-tolerant control (AFTC). Through a survey of existing techniques, it is shown that the adaptivity of the AFTC counteracts the effect of an incipient fault in the PFS. This makes some of the conventional fault-detection strategies, such as Beard-Jones detection filters and adaptive observers, ineffective in this situation. It is shown that the unknown input observer (UIO) is an effective tool; hence, the UIO is designed to decouple the incipient fault from the AFTC such that the fault-detection residual is sensitive only to the incipient fault. Extensive simulation study is presented using an aircraft example to test three fault-detection approaches; it is demonstrated that the UIO is the most effective tool in detecting the incipient fault in a PFS subject to AFTC.
机译:本文提出了一种在自适应故障容错控制(AFTC)下检测故障后系统(PFS)中初期故障的有效方案。通过对现有技术的调查显示,AFTC的适应性抵消了PFS中初期故障的影响。这使得某些常规故障检测策略(例如Beard-Jones检测滤波器和自适应观测器)在这种情况下无效。结果表明,未知输入观察者(UIO)是一种有效的工具。因此,UIO被设计为将初始故障与AFTC分离,以使故障检测残留仅对初始故障敏感。以飞机为例,进行了广泛的仿真研究,以测试三种故障检测方法。事实证明,UIO是检测受AFTC约束的PFS中初期故障的最有效工具。

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