Multi-objective Optimization of an Axial-flux PM Actuator with Space Mapping Technique

Abstract : This paper presents a quick and reliable methodology for machine design. The methodology is based on Magnetic Equivalent Circuit (MEC) and multi-level, multi-objective optimization. It is applied to design three phase axial flux actuator. The MEC is solved by computing meshes' magnetic flux. It allows taking into account nonlinear operating conditions and its network topology is generated automatically for each rotor position. Multilevel optimization is achieved by means of Space Mapping (SM) method in order to couple linear and non-linear models. Multi-objective optimization problem is solved by means of NSGA-II. This methodology combines final solution accuracy and fast computation/simulation time.
Type de document :
Communication dans un congrès
Institution of Engineering and Technology ( IET ). CEM 2014, Mar 2014, London, United Kingdom. Curran Associates, Inc. ( Jul 2014 ), Proceedings of the 9th IET International Conference on Computation in Electromagnetics, IET Conference Publications 627, pp.117, 2014, 〈10.1049/cp.2014.0227〉
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https://hal-supelec.archives-ouvertes.fr/hal-01103669
Contributeur : Thierry Leblanc <>
Soumis le : jeudi 15 janvier 2015 - 11:07:11
Dernière modification le : samedi 26 mai 2018 - 01:13:56

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Maya Hage Hassan, Guillaume Krebs, Ghislain Remy, Claude Marchand. Multi-objective Optimization of an Axial-flux PM Actuator with Space Mapping Technique. Institution of Engineering and Technology ( IET ). CEM 2014, Mar 2014, London, United Kingdom. Curran Associates, Inc. ( Jul 2014 ), Proceedings of the 9th IET International Conference on Computation in Electromagnetics, IET Conference Publications 627, pp.117, 2014, 〈10.1049/cp.2014.0227〉. 〈hal-01103669〉

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