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LPV observer design for PEM fuel cell system: Application to fault detection

机译:用于PEM燃料电池系统的LPV观察器设计:在故障检测中的应用

摘要

In this paper, the modelling of an energy generation system based on polymer electrolyte membrane fuel cell (PEMFC) system through a parameter varying approach (LPV model), that takes in to account model parameter variation with the operating point, is presented. This model has been obtained through a Jacobian linearization of the PEMFC non-linear dynamic model that was previously calibrated using real data from lab. In order to illustrate the use of the LPV model obtained its application to model-based fault detection is used. For this purposes a set of common fault scenarios, which could appear during a normal PEMFC operation, is used as case study.
机译:本文提出了一种通过参数变化方法(LPV模型)对基于聚合物电解质膜燃料电池(PEMFC)的能量产生系统进行建模的模型,该模型考虑了模型参数随工作点的变化。该模型是通过PEMFC非线性动态模型的Jacobian线性化获得的,该模型先前已使用来自实验室的真实数据进行了校准。为了说明获得的LPV模型的使用,使用了其在基于模型的故障检测中的应用。为此,将一组可能在正常PEMFC操作期间出现的常见故障场景用作案例研究。

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