Title: Robust simultaneous estimation of stator and rotor resistances and rotor speed for predictive maintenance of sensorless induction motor drives

Authors: Ahmed A. Zaki Diab

Addresses: Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia, Egypt

Abstract: In this paper, a novel rotor and stator resistances estimator has been proposed for detecting faults while they are still developing or adequate warning of imminent failure and to give minimum downtime and optimum maintenance schedules to apply in sensorless IM drives. The stator resistance estimation is applied for monitoring stator windings temperature and monitoring the status of stator windings insulation of induction motor. On the other hand, broken bars and end-rings are common faults in three-phase induction motors. A parallel model reference adaptive system (MRAS) has been proposed in order for simultaneous estimation of the stator and rotor resistances and rotor speed. The aim of the proposed MRAS is to save the cost of implementation and the processes time. The proposed parallel MRAS depends on the point of slowly variation of the rotor resistance with respect to the rotor speed.

Keywords: induction motor drive; predictive maintenance; sensorless; stator resistance rotor resistance; model reference adaptive system; MRAS.

DOI: 10.1504/IJPEC.2017.087325

International Journal of Power and Energy Conversion, 2017 Vol.8 No.4, pp.411 - 434

Received: 13 Jan 2016
Accepted: 30 May 2016

Published online: 25 Sep 2017 *

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