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首页> 外文会议>ASME Dynamic Systems and Control Conference >A MULTIOBJECTIVE SOLUTION APPROACH TO FAULT DETECTION AND ISOLATION OF LPV SYSTEMS
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A MULTIOBJECTIVE SOLUTION APPROACH TO FAULT DETECTION AND ISOLATION OF LPV SYSTEMS

机译：LPV系统故障检测和隔离的多目标解决方案方法

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摘要

In this paper, we consider the fault Detection and isolation (FDI) problem for faulty linear parameter-varying (LPV) systems subject to disturbances and propose a observer-based solution by using multiobjective optimization techniques. To simply the design process, a general faulty LPV system will be constructed from standard LPV description by converting actuator/system component faults into sensor faults at first. Then a bank of LPV FDI filters will be designed to identify each fault. Each FDI filter could generate a residual signal to track individual fault with minimum error and suppressing the effects of disturbances and other fault signals. The design of FDI filters will be formulated as multiobjective optimization problems in terms of linear matrix inequalities (LMIs) and can be solved efficiently. Two numerical examples are also presented to demonstrate the proposed fault detection and isolation approach on both LPV and LTI systems.
机译：在本文中，我们考虑故障的线性参数变化（LPV）系统的故障检测和隔离（FDI）问题，通过使用多目标优化技术提出基于观察者的解决方案。为了简单的设计过程，将通过首先将执行器/系统组件故障转换为传感器故障，从标准LPV描述中构建一般故障的LPV系统。然后，一家LPV FDI过滤器将旨在识别每个故障。每个FDI过滤器可以产生残差信号，以跟踪单个故障，最小误差并抑制干扰和其他故障信号的影响。在线性矩阵不等式（LMI）方面，FDI滤波器的设计将被制定为多目标优化问题，并且可以有效地解决。还提出了两个数值例子以演示LPV和LTI系统上所提出的故障检测和隔离方法。

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