Genetic Algorithm Approach for Improved Design of a Variable Speed Axial-Flux Permanent-Magnet Synchronous Generator

Optimal design for an axial-flux permanent magnet synchronous generator (AFPMSG) using genetic algorithm (GA) is presented, and the condition for minimum active material cost is deduced. A computer-aided design procedure based on the results of the GA is proposed. In the design procedure the practic...

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Veröffentlicht in:	IEEE transactions on magnetics 2012-12, Vol.48 (12), p.4860-4865
Hauptverfasser:	Rostami, Naghi, Feyzi, M. Reza, Pyrhonen, Juha, Parviainen, Asko, Behjat, Vahid
Format:	Artikel
Sprache:	eng
Schlagworte:	Axial flux machines Cross-disciplinary physics: materials science rheology Exact sciences and technology finite element (FE) analysis Generators genetic algorithm (GA) Genetic algorithms Magnetism Materials Materials science Mathematical analysis Optimization Other topics in materials science permanent magnet (PM) generators Permanent magnets Physics Stators Synchronous Three dimensional Torque Variable speed
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Beschreibung
Zusammenfassung:	Optimal design for an axial-flux permanent magnet synchronous generator (AFPMSG) using genetic algorithm (GA) is presented, and the condition for minimum active material cost is deduced. A computer-aided design procedure based on the results of the GA is proposed. In the design procedure the practical and performance characteristics are taken into account as some restrictions for the object function used in the optimization algorithm. A 30-kW AFPMSG with two parallel connected stators and rotor-surface PMs is designed using the developed program, and then 3-D finite-element analyses are carried out to validate the design procedure.
ISSN:	0018-9464 1941-0069
DOI:	10.1109/TMAG.2012.2204764