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
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;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2013 International Conference on
Conference_Location :
Busan
Print_ISBN :
978-1-4799-1446-3
DOI :
10.1109/ICEMS.2013.6713119
