Multi-domain system models integration for faults detection in induction motor drives

C. Apostoaia
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引用次数: 15

Abstract

The power electronic converters, electric machines, and mechanical loads are key parts of the electric drives systems, and these components are usually modeled and analyzed using specific simulation tools. The overall performances of the electric drives are influenced by system's interconnected components. One solution, to investigate the interaction between different parts of these multi-domain systems, is to integrate them into only one simulation environment. This paper presents the development of two integrated models of a three-phase induction motor (IM) drive: one, based on d-q machine model using MATLAB/Simulink-Simscape, the second being based on finite element analysis (FEA) motor model using ANSYS Simplorer/Maxwell software. The goal is to analyze the system models capabilities to simulate the faults detection caused by failures of different drive's components. The motor current signature analysis is used, in this paper, for monitoring the operation of the IM fed through a pulse-width-modulated (PWM) power inverter. Finally, two case studies are presented, one illustrating the effects of a faulty device of the PWM inverter, and the second case demonstrating the influence of the IM's stator fault. Another objective of this study is to provide users a convenient way of instruction in the area of faults detection and power quality of alternating current (ac) machines and drives.
基于多域系统模型集成的异步电机故障检测
电力电子变换器、电机和机械负载是电力驱动系统的关键部件,通常使用特定的仿真工具对这些部件进行建模和分析。电力传动系统的整体性能受系统互连部件的影响。为了研究这些多域系统的不同部分之间的相互作用,一种解决方案是将它们集成到一个仿真环境中。本文介绍了三相异步电动机(IM)驱动的两种集成模型的开发:一种是基于d-q电机模型,采用MATLAB/Simulink-Simscape,另一种是基于ANSYS simplover /Maxwell软件的有限元分析(FEA)电机模型。目的是分析系统模型的能力,以模拟由不同驱动部件的故障引起的故障检测。本文使用电机电流特征分析来监测脉宽调制(PWM)逆变器馈电的IM的运行情况。最后,给出了两个案例研究,一个案例说明了PWM逆变器故障器件的影响,另一个案例说明了IM定子故障的影响。本研究的另一个目的是为用户提供交流电机和驱动器故障检测和电能质量方面的方便指导方法。
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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