DocumentCode
2906896
Title
The design of motor multi- objective inverse optimization system based on genetic algorithm
Author
Jiang Kun ; Li Guo-li ; Zhou Rui ; Si Wei ; Zhao Xiao-min ; Fang Guang-hui
Author_Institution
Coll. of Comput. Sci. & Technol., Anhui Univ., Hefei, China
fYear
2013
fDate
26-29 Oct. 2013
Firstpage
496
Lastpage
499
Abstract
A motor multi-objective inverse optimization system based on genetic algorithm is designed, which can optimize induction motor and permanent magnet motor. Three design examples are used to verify the effectiveness and the convenience of the system.
Keywords
genetic algorithms; induction motors; inverse problems; nonlinear programming; permanent magnet motors; complex constrained value nonlinear programming problem; genetic algorithm; induction motor; motor multiobjective inverse optimization system; multiobjective value nonlinear programming problem; multipeak value nonlinear programming problem; multivariable value nonlinear programming problem; permanent magnet motor; system convenience; Educational institutions; Electromagnetics; Genetic algorithms; Induction motors; Optimization; Permanent magnet motors; Synchronous motors;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location
Busan
Print_ISBN
978-1-4799-1446-3
Type
conf
DOI
10.1109/ICEMS.2013.6713119
Filename
6713119
Link To Document