Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller
Ankit Rawat *
Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Mohd Fazle Azeem
Department of Electrical Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
In the last decade with increasing motor application domain, need towards usage of precisely controlled, noise free, highly efficient and high starting torque motors also increases, as a result dedicated applications has fascinated the researcher toward brushless DC motor. Brushless DC motors can act as suitable alternative to the traditional Brushed direct current motor, Induction Motor etc. This research paper inspects the ease and effectiveness of modified queen bee based GA tuned fuzzy controller and shows the performance of a proposed controller under diverse speed settings. A comparative study with conventional PI controller shows effectiveness of modified queen bee based GA Tuned Fuzzy controller, in terms of parameter like peak overshoot and settling time. MATLAB/SIMULINK Environment is used for optimization and modeling of Brushless DC motor drive.
Keywords: Brushless DC motor, genetic algorithm, back EMF, fuzzy knowledge base controller