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

Lookup NU author(s): Dr Shady Gadoue


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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.

Publication metadata

Author(s): Gadoue SM; Ashoush A; Abdel-Khalik AS; Mohamadein AL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 8th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives (SDEMPED)

Year of Conference: 2011

Pages: 529-534

ISSN: 9781424493012

Publisher: IEEE


DOI: 10.1109/DEMPED.2011.6063674

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424493029