Current Optimization for an Eleven-phase Induction Machine under Fault Conditions Using Genetic Algorithm

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  2. Dr Shady Gadoue
Author(s) Gadoue SM; Ashoush A; Abdel-Khalik AS; Mohamadein AL
Publication type Conference Proceedings (inc. Abstract)
Conference Name8th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives (SDEMPED)
Conference LocationBologna, Italy
Year of Conference2011
Source Publication Date5-8 September 2011
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In this paper, an optimization technique based on Genetic Algorithm (GA) is proposed to calculate the optimum phase currents of a multi-phase induction machine under phase(s) loss to maintain the same Magneto-Motive Force (MMF) distribution as with the healthy case. Conventional optimization method requires solving complex nonlinear equations. Moreover, constraints should be selected such that the number of solved equations equals the variables number to obtain a unique solution. The problem becomes complicated as the number of disconnected phases is more than two. Genetic algorithm is used to solve such optimization problem since it does not involve solving nonlinear equations. Comparison between the conventional optimization technique and GA is carried out using finite element analysis which simulates the machine flux corresponding to each optimum solution.
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