Referenced Items are not available for this document.
Particle swarm optimization (PSO) algorithm is applied to the design optimization problem of axially laminated anisotropic (ALA) rotor synchronous reluctance motor (SynRM) drive. The objective of the optimization is to maximize the developed torque while minimizing the torque ripple as well as the ohmic and core losses for traction applications. The number of flux paths, stator tooth width, and rotor flux path width define the 3-D search space for the optimization problem. An artificial intelligence modeling approach utilizing PSO and finite element-state space (FE-SS) models is used for the characterization and design optimization of a prototype ALA rotor SynRM drive for traction applications.
Published in:
Magnetics, IEEE Transactions on
(Volume:45
,
Issue:
3
)
Date of Publication: March 2009
- Page(s):
- 956 - 959
- ISSN :
- 0018-9464
- INSPEC Accession Number:
- 10498986
- Digital Object Identifier :
- 10.1109/TMAG.2009.2012482
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 24 February 2009
- Issue Date :
- March 2009
- Sponsored by :
- IEEE Magnetics Society
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