Abstract: A new approach to the design optimisation of thee-phase electric motors is presented. The novelty lies in combining a motor analysis procedure with a genetic algorithm to optimise an objective function such as the motor torque, the efficienyy, the material cost or some other motor figures or a combination of these. Two approaches to the motor analysis are presented: the first is based on a fully analytical procedure, while the second utilises the finite element method. Some optimised design examples, with reference to surface-mounted permanent-magnet three-phase motors, are included, and a co:nparison between the genetic technique and the classical algorithm optimisat:~on hill-climbing direct-search method is made. A discussion on the limitations and benefits of the proposed design approach concludes the paper.

Design Optimisation of Electric Motors by Genetic Algorithms

BIANCHI, NICOLA;BOLOGNANI, SILVERIO
1998

Abstract

Abstract: A new approach to the design optimisation of thee-phase electric motors is presented. The novelty lies in combining a motor analysis procedure with a genetic algorithm to optimise an objective function such as the motor torque, the efficienyy, the material cost or some other motor figures or a combination of these. Two approaches to the motor analysis are presented: the first is based on a fully analytical procedure, while the second utilises the finite element method. Some optimised design examples, with reference to surface-mounted permanent-magnet three-phase motors, are included, and a co:nparison between the genetic technique and the classical algorithm optimisat:~on hill-climbing direct-search method is made. A discussion on the limitations and benefits of the proposed design approach concludes the paper.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/120751
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