Title: Speed sensorless field-oriented control of a six-phase saturated model of induction motors drive with online stator resistance estimation using ANFIS

Authors: Mohamed M. Ismail Ali; Mohamed A. Moustafa Hassan

Addresses: Electric Power and Machines Department, Faculty of Engineering, Helwan University, Sherif Str. 1, Helwan, Postal Code: 11792 Cairo, Egypt. ' Electric Power and Machines Department, Faculty of Engineering, Cairo University, University Str., Postal Code: 12613 Giza, Egypt

Abstract: In this paper, a field-oriented control-space vector modulation scheme is presented for a six-phase speed and voltage sensorless saturated model of induction motor drive. The new in this paper is that the saturation model of induction motor is taken into consideration. Also, a simple method is introduced to estimate the motor rotor speed and on line estimation of the stator resistance using adaptive neural fuzzy inference system (ANFIS). Finally, some simulation results are presented to verify the effectiveness and capability of the proposed control scheme.

Keywords: adaptive neural fuzzy inference system; ANFIS; field-oriented control; FOC; multiphase induction motors; online estimation; speed sensorless control; six-phase saturated models; online stator resistance; resistance estimation; modelling; vector modulation; fuzzy logic; neural networks; rotor speed; simulation.

DOI: 10.1504/IJMIC.2012.051085

International Journal of Modelling, Identification and Control, 2012 Vol.17 No.4, pp.334 - 347

Published online: 17 Dec 2014 *

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