Efficiency optimisation with PI gain adaptation of field-oriented control applied on five phase induction motor using AI technique Online publication date: Sat, 27-Sep-2014
by Mohamed M. Ismail Ali
International Journal of Modelling, Identification and Control (IJMIC), Vol. 20, No. 4, 2013
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.
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