Title :
Optimum Design of Permanent Magnet Synchronous Motor Based on Gene Handling Genetic Algorithms
Author :
Gao, Jian ; Liu, Jiancheng ; Huang, Shoudao ; Huang, Keyuan
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
The basic principles and optimization strategy of Gene Handling Genetic Algorithms (GHGA) was introduced in this paper. The mathematical model of optimum design of permanent magnet synchronous motor was established, and GHGA was applied to the optimum design of the NdFeB PMSM prototype, some corresponding curves about fitness changing with the generation were deduced. As optimal results, the cost of the effective material of PMSM had decreased significantly, and good effect could be achieved while the GHGA was applied to the optimum design of motor.
Keywords :
design engineering; genetic algorithms; permanent magnet motors; synchronous motors; NdFeB PMSM prototype; gene handling genetic algorithms; mathematical model; optimization strategy; optimum design; permanent magnet synchronous motor; Algorithm design and analysis; Biological cells; Genetics; Materials; Optimization; Permanent magnet motors; Synchronous motors; gene handling; genetic algorithms; optimization design; permanent magnet synchronous motor;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.358