Title: Efficiency optimisation with PI gain adaptation of field-oriented control applied on five phase induction motor using AI technique

Authors: Mohamed M. Ismail Ali

Addresses: Electric Power and Machines Department, Faculty of Engineering, Helwan University, 1 Shref Street – Helwan – Cairo 11792, Egypt

Abstract: Improving flux vector control (FOC) drives performance is studied for five phase saturated model of induction motor. Fuzzy logic, genetic algorithm (GA) and particle swarm optimisation (PSO) are used for this purpose. Optimum flux reference identification by using FL, GA and PSO is used to minimise the motor input power to have the optimum motor efficiency. Selecting of the optimal gains using both methods is done to improve the motor response and behaviour. A comparison between the simulation results was done to evaluate the performance for the developed controller adopting (GA) and (PSO) algorithms. The results show that the proposed PSO controller algorithm has better optimisation performance than the proposed GA both for gain tuning and for the selection flux set point, while the fuzzy logic give the best performance for optimal flux set point selection.

Keywords: saturated models; modelling; induction motors; field-oriented control; FOC drives; flux observer controller; fuzzy logic; fuzzy control; genetic algorithms; particle swarm optimisation; PSO; PI gain adaptation; flux vector control; simulation; efficiency optimisation.

DOI: 10.1504/IJMIC.2013.057568

International Journal of Modelling, Identification and Control, 2013 Vol.20 No.4, pp.344 - 360

Available online: 13 Nov 2013 *

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