The use of a genetic algorithm in the design optimisation of a brushless DC permanent magnet machine rotor

R Wrobel, PH Mellor

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

15 Citations (Scopus)

Abstract

The paper describes the use of a genetic algorithm in the design optimisation of a surface magnet brushless DC machine. The method combines a two-dimensional magnetostatic finite element model (FEM) with a genetic algorithm (GA) to investigate the influence of the shape of the permanent magnets and their direction of magnetisation. The objective function used in the optimisation procedure is based on maximising torque for a given volume of permanent magnet, assuming the electrical loading of the machine remains unchanged. Compared to a standard radial magnetisation, the optimised rotor designs yield a significant improvement in output torque. To confirm the GA technique a gradient descent optimisation is also applied to the problem.
Translated title of the contributionThe use of a genetic algorithm in the design optimisation of a brushless DC permanent magnet machine rotor
Original languageEnglish
Title of host publication2nd IEE International Conference on Power Electronics, Machines and Drives, PEMD 2004, University of Edinburgh, 31 March - 2 April
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages823 - 827
Number of pages5
Volume2
ISBN (Print)0863413838
Publication statusPublished - Mar 2004

Bibliographical note

Conference Organiser: IEE

Fingerprint

Dive into the research topics of 'The use of a genetic algorithm in the design optimisation of a brushless DC permanent magnet machine rotor'. Together they form a unique fingerprint.

Cite this