scholarly journals Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller

Author(s):  
Ankit Rawat ◽  
Mohd Fazle Azeem

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.

2013 ◽  
Vol 373-375 ◽  
pp. 1363-1368
Author(s):  
Jian Zhang ◽  
Yuan Jun Zhou ◽  
Jing Zhao

Brushless DC motors, which are applied to the human skeleton boosters, require frequent switch of four-quadrant operation states of forward rotation, backward rotation, electro motion and braking control. This switch generally requires to be soft and smooth without overshoot, big impulse or speed mutation. The general performance of the brushless DC motor control system cant meet this requirement. The main purpose of this paper is to solve this problem by adopting bipolar PWM control which makes it possible to realize the motor operating in four-quadrant and improve its characteristics. In addition, the paper proved the correct and efficiency of this method by using simulation .


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