感应电动机转速传感器故障检测器的比较分析

2015 International Conference on Electrical Drives and Power Electronics (EDPE) Pub Date : 2015-11-12 DOI:10.1109/EDPE.2015.7325316

K. Klimkowski, M. Dybkowski

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引用次数: 12

摘要

本文对两种检测转子转速传感器故障的方法进行了比较分析。前者是基于模型参考自适应系统(MRAS)估计器，后者是基于人工神经网络。对直接场定向控制结构中各识别检测系统在不同工况下的性能进行了分析。介绍了各检测系统的工作原理。给出了在MATLAB/SimPowerSystem软件中进行的仿真结果。利用DS1103卡在实验室装置上进行了实验测试。

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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A comparative analysis of the chosen speed sensor faults detectors for induction motor drives

In the paper a comparative analysis of the two detectors of the rotor speed sensor faults are presented. The first one is based on the MRAS estimator (Model Reference Adaptive System) and the second one is based on artificial neural network. Performance analysis of each identification and detection system in different operation conditions in the Direct Field Oriented Control structure DFOC is presented. The principles of operation of each detection systems are described. The simulation results carried out in MATLAB/SimPowerSystem software are presented. Experimental test were performed in laboratory setup with DS1103 card.

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2015 International Conference on Electrical Drives and Power Electronics (EDPE)

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