This study presents an optimal design and a control shame for PMBLDC motor based on multi-objective non-dominated sorting genetic algorithms NSGA-II which is able to optimum both volume and cost of constructing of dc motor and tune the PID controller parameters simultaneously in order of trade-off optimal solutions. Single objective population based method such as genetic algorithm or particle swarm optimization have only one solution in single run but multi-objective optimization can find various solutions in a single run. This paper deals with some objective functions. The cost function include of step response characteristic of motor speed, building cost and its volume that should be minimized simultaneously. To reach this goal in this application the NSGA-II and MOPSO are used for the first time. The results of simulations show the validation of this methods.


    Access

    Download


    Export, share and cite



    Title :

    Optimal Control And Design Of PMBLDC Motor Using NSGA-II Multi-objective Algorithms


    Contributors:

    Publication date :

    2014-09-27


    Remarks:

    International Journal of Sciences: Basic and Applied Research (IJSBAR); Vol 14 No 2 (2014); 220-234 ; 2307-4531


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    Methodological Comparison and Analysis for Six-Switching PMBLDC Motor Control

    Gujja, Musa Mohammed / Ishak, Dahaman / Hamidi, Muhammad Najwan | Springer Verlag | 2024


    PMBLDC Motor Design and Analysis for Automotive Applications

    Ruthra Prakashini, R. / Jategaonkar, Aneesh / Aasritha, Kareti et al. | Springer Verlag | 2021


    PMBLDC Motor Design and Analysis for Automotive Applications

    Prakashini, R. Ruthra / Jategaonkar, Aneesh / Aasritha, Kareti et al. | TIBKAT | 2021


    A Novel Control Approach for buck converter based PMBLDC motor using BAT algorithm

    Paliwal, Deepak / Sambariya, Dhanesh Kumar | IEEE | 2020


    Multi-objective classification based on NSGA-II

    Zhao, Binping / Xue, Yu / Xu, Bin et al. | British Library Online Contents | 2018