Performance Analysis of Brushless DC Motor Using Modified Queen Bee Evolution Based Genetic Algorithm Tuned PI Controller under Different Speed Conditions

Abstract

The modeling of BLDC motor and performance analysis under diverse operating speed settings has been presented in this paper. BLDC motors gaining more & more attention from different Industrial and domestic appliance manufacturers due to its compact size, high efficiency and robust structure. Voluminous research and developments in the domains of material science and power electronics led to substantial increase in applications of BLDC motor to electric drives. This paper deals with the modeling of BLDC motor drive system along with a comparative study of modified queens bee evolution based GA tuned & manually tuned control schemes using MATLAB /SIMULINK. In order to evaluate the performance of proposed drive, simulation is carried out at different Mechanical load & speed conditions. Test outcomes thus achieved show that the model performance is satisfactory.

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

“…Two parent chromosomes are randomly picked from the population and the probability of new chromosome creation, from the parents is determined by crossover rate. Numerous crossover operators are explained in various literatures [10,11], but the weight based 7and equation 8ore likely to be achieved by GA's, as it works with population of points, on contrary to point by point approach of (7) (8) Genetic algorithm comprises three basic operators called reproduction operator, crossover operator and mutation operator. Initially GA works with randomly created group of solutions, known as population.…”