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A novel unknown input observer-based fault detection with application to a two-stage chemical reactor
International Journal of Adaptive Control and Signal Processing ( IF 3.9 ) Pub Date : 2021-06-21 , DOI: 10.1002/acs.3292
Yu Wu 1 , Dongsheng Du 1 , Zehui Mao 2 , Yan Yang 1
Affiliation  

This article presents a new method of fault detection for the two-stage chemical reactor system. The process can be carried out effectively in the presence of the time-delay and the unknown inputs and the parameter uncertainties by using the observer-based method technique. In order to detect the actuator fault, a novel unknown input observer is employed as the residual generator. Multi-objective optimization techniques and a new performance index are adopted to ensure the robustness and sensitivity of the fault detection observer. Then the problem of fault detection is reduced to the problem of model matching. Furthermore, sufficient conditions are obtained to guarantee that the error system is asymptotically stable with an urn:x-wiley:acs:media:acs3292:acs3292-math-0001 performance by means of the Lyapunov function technique. Finally, a two-stage chemical system is borrowed to demonstrate the effectiveness of the obtained methods.

中文翻译:

一种新型的基于未知输入观测器的故障检测应用于两级化学反应器

本文提出了一种新的两级化学反应器系统故障检测方法。通过使用基于观测器的方法技术,该过程可以在存在时间延迟、未知输入和参数不确定性的情况下有效地进行。为了检测执行器故障,采用了一种新颖的未知输入观察器作为残差发生器。采用多目标优化技术和新的性能指标来保证故障检测观测器的鲁棒性和灵敏度。那么故障检测的问题就归结为模型匹配的问题。此外,获得了足够的条件来保证误差系统是渐近稳定的urn:x-wiley:acs:media:acs3292:acs3292-math-0001Lyapunov 函数技术。最后,借用一个两阶段化学系统来证明所获得方法的有效性。
更新日期:2021-06-21
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