Title: Research on improvement of FOC system for induction motor using fuzzy logic

Authors: Chahrazed Mehammai; Fatiha Zidani; Samira Benaicha; Mohamed-Said Nait-Said

Addresses: Department of Electrical Engineering, Faculty of Technology, LSPIE Laboratory, University of Batna, Road Chahid Med. Boukhlouf, Batna, 05000, Algeria ' Department of Electrical Engineering, Faculty of Technology, LSPIE Laboratory, University of Batna, Road Chahid Med. Boukhlouf, Batna, 05000, Algeria ' Department of Electrical Engineering, Faculty of Technology, LSPIE Laboratory, University of Batna, Road Chahid Med. Boukhlouf, Batna, 05000, Algeria ' Department of Electrical Engineering, Faculty of Technology, LSPIE Laboratory, University of Batna, Road Chahid Med. Boukhlouf, Batna, 05000, Algeria

Abstract: The effects of mismatch between the induction motor and vector controller (field-oriented control) can be minimised by adapting the parameters in the vector control to the actual motor parameters, at all times. This requires monitoring of the motor parameters, but direct monitoring is difficult while the drive is in operation. Several methods have come to the forefront to minimise the consequences of parameter sensitivity in indirect vector-control schemes. In this paper two methods to compute stator frequency are presented. A fuzzy logic approach is used to combine both methods in order to reduce flux orientation sensitivity to parameter uncertainties. Taking into account the saturation effect and using fuzzy logic technique, the combined control scheme has been analysed under steady state and transient conditions. The simulation results confirm that the FOC control is robust under the variation parameters and load torque.

Keywords: induction motors; field-oriented control; FOC; parameter sensitivity; robustness; saturation; fuzzy logic; fuzzy control; vector control; flux orientation; parameter uncertainties; simulation; load torque.

DOI: 10.1504/IJMIC.2014.062024

International Journal of Modelling, Identification and Control, 2014 Vol.21 No.4, pp.370 - 377

Available online: 29 May 2014 *

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