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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Bibliographic Details
Published in:IEEE transactions on magnetics 2012-12, Vol.48 (12), p.4860-4865
Main Authors: Rostami, Naghi, Feyzi, M. Reza, Pyrhonen, Juha, Parviainen, Asko, Behjat, Vahid
Format: Article
Language:English
Subjects:
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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Summary: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