Abstract In the field of electric vehicles, the motor is the most commonly used permanent magnet brushless DC motor, it is essential to design optimization. A new method of genetic chaos optimization combination is proposed after analyzing the advantages and disadvantages of genetic algorithm and chaos optimization method. The chaos optimization algorithm can overcome shortcomings of failure in a wide range and improve the local searching ability and accuracy of genetic algorithm, which proves that the algorithm can converge to the global optimum with a large probability. The satisfying results are obtained by applying the method for optimizing the test function.


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    Title :

    Chaos Genetic Algorithm Optimization Design Based on Permanent Magnet Brushless DC Motor


    Contributors:
    Yan, Hongkui (author) / Zhou, Lei (author) / Liu, Lidong (author)


    Edition :

    1st ed. 2016


    Publication date :

    2016-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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