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Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

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Multi objective genetic algorithm optimal design of a pM disc motor

Cvetkovski, G. and Petkovska, L. and Gair, S. (2004) Multi objective genetic algorithm optimal design of a pM disc motor. In: 5th IEE International Conference on Computation in Electromagnetics - CEM 2004, 2004-04-19 - 2004-04-22.

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Abstract

In this paper the authors present an optimal genetic algorithm (GA) based design of a prototype permanent magnet disc motor using two different objective functions. The objective functions applied in this investigation are the efficiency and the electromagnetic torque of the motor. The optimal design of the prototype is based on previous quasi3D FEM magnetic field calculation and analysis. Comparative values of the optimised motor parameters using the two objective functions are presented, as well as the results of the quasi 3D FEM magnetic field calculation for both optimised models and the prototype.