In this work the system is Brushless DC (BLDC) Motor. In this motor problem is the position control. Apply conventional controller as PID to control position of BLDC motor. This controller has three parameters Kp, Ki and Kd needs to tune for better performance. Firstly, optimized these parameters using Particle Swarm Optimization (PSO) Technique. In this thesis a novel, powerful optimization tool is the music-inspired harmony based optimization algorithm. The harmony search algorithm has been so far applied to various optimization problems. Additionally, the calculation structure has been altered on a case-by-case premise by tweaking the essential structure. Besides, streamlined these parameters utilizing harmony search algorithm Optimization (HSAO) Technique.


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    Title :

    Position control of brushless DC motor using harmony search algorithm optimization technique


    Contributors:


    Publication date :

    2017-04-01


    Size :

    339639 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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