DocumentCode
1324385
Title
Optimal Electromagnetic-Thermo-Mechanical Integrated Design Candidate Search and Selection for Surface-Mount Permanent-Magnet Machines Considering Load Profiles
Author
Semidey, S. Andrew ; Duan, Yao ; Mayor, J. Rhett ; Harley, Ronald G. ; Habetler, Thomas G.
Author_Institution
Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
47
Issue
6
fYear
2011
Firstpage
2460
Lastpage
2468
Abstract
Most existing design and optimization methods treat the electromagnetic, thermal, and mechanical designs separately. As a result, the effects of power supply, machine control, load profile, thermal effects, and materials are not fully integrated and accounted for, which often leads to over- or underdesign. This paper proposes an innovative and computationally efficient approach which integrates the electromagnetic and thermo-mechanical design for surface mount permanent magnet machines. Particle swarm optimization is part of this integrated process to efficiently find design candidates which optimize certain requirements, such as weight, efficiency, etc. The effects of power supplies, machine controls, load profiles, thermal effects, and materials can thus all be considered systematically in the proposed multiphysics design approach. This results in a multiphysics design tool that can rapidly locate an optimal design candidate for further consideration.
Keywords
electromagnetic devices; load flow; particle swarm optimisation; permanent magnet machines; surface mount technology; electromagnetic design; load profiles; machine controls; particle swarm optimization; power supplies; surface mount permanent magnet machines; thermal effects; thermomechanical integrated design; Design methodology; Electromagnetic measurements; Optimization; Permanent magnet machines; Thermal management; Design optimization; permanent-magnet (PM) machine;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/TIA.2011.2168589
Filename
6022770
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