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Fault detection and isolation in linear parameter-varying descriptor systems via proportional integral observer

机译:比例积分观测器在线性变参数描述符系统中的故障检测与隔离

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摘要

The main contribution of this paper is the design of a polytopic unknown inputs proportional integral observer (UIPIO) for linear parameter-varying (LPV) descriptor systems. This observer is used for actuator fault detection and isolation. The proposed method is based on the representation of the LPV descriptor systems in a polytopic form. Its parameters evolve in an hypercube domain. The designed polytopic UIPIO is also able to estimate both the states and the unknown inputs of the LPV descriptor system. Stability conditions of such observer are expressed in terms of linear matrix inequalities. An example illustrates the performances of such polytopic UIPIO.
机译:本文的主要贡献是为线性参数变化(LPV)描述符系统设计了一个多位未知输入比例积分观测器(UIPIO)。该观察器用于执行器故障检测和隔离。所提出的方法基于多主题形式的LPV描述符系统的表示。它的参数在超立方体域中演化。设计的多主题UIPIO还能够估计LPV描述符系统的状态和未知输入。这种观察者的稳定性条件用线性矩阵不等式表示。一个示例说明了这种多主题UIPIO的性能。

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