首页> 外文期刊>Proceedings of the Workshop on Principles of Advanced and Distributed Simulation >MULTI-SENSOR FAULTDETECTION AND ISOLATION FOR AERO-ENGINE DCS WITH MARKOV TIME DELAY BASED ON H∞UNKNOWN INPUT OBSERVERS
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MULTI-SENSOR FAULTDETECTION AND ISOLATION FOR AERO-ENGINE DCS WITH MARKOV TIME DELAY BASED ON H∞UNKNOWN INPUT OBSERVERS

机译:基于Hřunknown输入观察者的Markov时间延迟,多传感器故障和Aero-Engine DCS隔离

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摘要

In this paper, a novel approach is proposed to design a bank of unknown input observers(UIOs) for aeroengine distribute control system(DCS) with multi-sensor fault. First, considering the system with multisensor fault which doesn't satisfy the observer matching condition, a H∞ UIO is proposed based on the disturbance decoupling principle of unknown input observer(UIO) and H∞ control theory. The parameter matrixes of UIO are solved in terms of linear matrix inequality(LMI) toolbox. Second, the fault detection and isolation scheme is proposed for DCS with multi-sensor fault and the UIOs are designed for a bank of fault detection and isolation sets which are obtained by reorganizing the control system. The residual signal generated by each observer is robust to the sensor fault in the matching set, and sensitive to the sensor fault out of the matching set. Finally, the residual signals were simulated and the results show the effectiveness of the proposed method.
机译:在本文中,提出了一种新的方法,为具有多传感器故障的航空发动机分配控制系统(DCS)设计了一组未知的输入观察者(UIO)。 首先,考虑具有不满足观察者匹配条件的多传感器故障的系统,基于未知输入观察者(UIO)和H∞控制理论的干扰解耦原理提出了H∞UIO。 根据线性矩阵不等式(LMI)工具箱,求解UIO的参数矩阵。 其次,对具有多传感器故障的DCS提出了故障检测和隔离方案,并且UIO专为通过重组控制系统而获得的故障检测和隔离集的隔离集。 每个观察者生成的残余信号对于匹配集中的传感器故障,并且对匹配集中的传感器故障敏感。 最后,模拟了残余信号,结果表明了该方法的有效性。

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