Detection of inter-turn short circuits in stator windings of im by extended Kalman filters

K. E. Merraoui, A. Ferdjouni
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引用次数: 3

Abstract

This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.
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扩展卡尔曼滤波检测电机定子绕组匝间短路
本文提出了扩展卡尔曼滤波(EKF)的两种变体,并将其应用于感应电动机定子绕组匝间短路的故障检测与隔离。除了状态变量之外,这两个变量还允许估计一些参数,称为故障因素。它们是要估计的三个故障因素,即按阶段一个故障因素。第一个EKF变量估计状态向量,该状态向量同时扩展到所有三个故障因素。第二种方法使用三个EKF,每个EKF只扩展到一个故障因子,对故障因子进行估计。这三个EKF形成了一个多模型,它们在扩展模型之间以相同的停留时间依次切换。
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