Title :
Application of Advanced Genetic Algorithm in the Global Optimal Design of Permanent Magnet Generator in Automobile
Author_Institution :
Ind. Center, Shenzhen Polytech., Shenzhen, China
Abstract :
The simple genetic algorithm is introduced at first. On the basis of many strategies to selector operator, crossover operator and mutation operator, the advanced genetic algorithm sufficiently considers the global optimum by generating new individuals in each generation, which guarantees the population´s multiplicity and accelerates the evolved speed. The optimal design of permanent magnet generator in automobile based on advanced genetic algorithm is explored in this paper. We adopted the permanent magnet as the main excitor, and electric excitation as the auxiliary excitor, a mathematical model of the generator is set up. The result shows that the advanced genetic algorithm could be applied well in the automobile permanent magnet generator. It satisfies the reliable constant voltage of the generator.
Keywords :
automobiles; genetic algorithms; permanent magnet generators; automobile; auxiliary excitor; constant voltage; crossover operator; electric excitation; genetic algorithm; global optimal design; mutation operator; permanent magnet generator; population multiplicity; selector operator; Gallium; Generators; Optimization; Permanent magnets; Stator cores; Stator windings;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661573