On-Line Estimation of All Electrical Parameters in Induction Machines subject to Stator Fault

M. Stocks, A. Medvedev
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引用次数: 3

Abstract

Identification of all the electrical parameters of induction machines (IMs) is a prerequisite for successful model-based control and/or fault detection. Most of the existing identification methods of symmetrical IMs are, strictly speaking, valid only at stationary conditions, which limitation results in either poor dynamics excitation or gross approximation errors, depending on the working conditions of the motor. In this paper, the topic of identification of all electrical parameters of faulty IMs is addressed for the first time. A method for on-line observer-based estimation of all electrical parameters of IMs with faulty stator is presented aiming primarily at fault tolerant control and fault detection. The approach does not rely on any assumptions regarding the rotor angular speed and/or acceleration.
定子故障感应电机所有电气参数的在线估计
感应电机(IMs)所有电气参数的识别是成功的基于模型的控制和/或故障检测的先决条件。大多数现有的对称IMs识别方法,严格来说,仅在静止条件下有效,这一限制导致动力学激励差或粗略的近似误差,这取决于电机的工作条件。本文首次对故障IMs的所有电气参数的识别问题进行了研究。提出了一种基于观测器的故障定子在线估计方法,主要针对故障容错控制和故障检测。该方法不依赖于任何关于转子角速度和/或加速度的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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