Motor Current Signature Analysis for Speed Estimation

Renjini E. Nambia
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Abstract

The induction motors are widely applied due to their low price and ruggedness. There are several methods for speed estimation in the literature. The optical tachometer is an expensive and less reliable method for the speed measurement. Hence sensor less method for speed estimation is an important topic of research. In this paper, speed estimation of induction motor using motor current signature analysis is done. The comparative study of different methods shows that the motor current signature analysis (MCSA) is more accurate in speed estimation. This technique is experimentally verified on a 5HP, 3.7kW, 1430rpm 415V, 50Hz, 7.5A, 3Ø squirrel cage induction motor using LabVIEW. The experimental and simulation results show that the overall speed estimation error is within 5 rpm.
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用于速度估计的电机电流特征分析
感应电动机因其价格低廉、坚固耐用而得到广泛应用。文献中有几种速度估计方法。光学测速仪是一种昂贵且不可靠的测速方法。因此,无传感器的速度估计方法是一个重要的研究课题。本文利用电机电流特征分析对异步电机进行转速估计。不同方法的比较研究表明,电机电流特征分析(MCSA)在速度估计中更为准确。该技术在一台5HP, 3.7kW, 1430rpm, 415V, 50Hz, 7.5A, 3Ø鼠笼式异步电动机上使用LabVIEW进行了实验验证。实验和仿真结果表明,总体转速估计误差在5rpm以内。
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