DocumentCode :
1541767
Title :
Application of vector optimization employing modified genetic algorithm to permanent magnet motor design
Author :
Sim, Dong-Joon ; Jung, Hyun-Kyo ; Hahn, Song-Yop ; Won, Jon-Soo
Author_Institution :
Steel Process Div., RIST, Pohang, South Korea
Volume :
33
Issue :
2
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
1888
Lastpage :
1891
Abstract :
This paper presents a method to solve the vector optimization problem that determines both the noninferior solution set and the best compromise solution employing a modified genetic algorithm. The algorithm differs from the conventional one in the definition of fitness value and convergence criterion. Some parameters of the algorithm are adjusted to the vector optimization. The algorithm also contains the additional routine for searching the best compromise solution. This method is applied to the optimal design of the permanent magnet synchronous motor for which two objective functions regarding motor efficiency and weight are used
Keywords :
design engineering; genetic algorithms; machine theory; permanent magnet motors; synchronous motors; best compromise solution; convergence criterion; efficiency; fitness value; modified genetic algorithm; noninferior solution set; objective functions; optimal design; permanent magnet synchronous motor design; vector optimization; weight; Algorithm design and analysis; Design optimization; Electric machines; Genetic algorithms; Induction motors; Magnetic flux; Optimization methods; Permanent magnet motors; Steel; Synchronous motors;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/20.582654
Filename :
582654
Link To Document :
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