Vasu Koneti* and Ganesh Vulasala Pages 143 - 149 ( 7 )
Background: This paper investigates the detailed study on the performance of Brushless DC (BLDC) motors with sudden application of loads, by using different control techniques. The increasing trend of usage of accurate control, high torque, low noise and higher efficiency for Electric Vehicles has appealed the attention Researcher in BLDC motors. So, BLDC motors can act a substitute for the conventional motors like Switched Reluctance motors, Induction Motors etc.
Methods: A Fractional Order Propositional-Integral Derivative (FOPID) controller has been proposed in this paper. The parameters FOPID controller is tuned with Particle Swarm (PSO) algorithm based on Integral Absolute Time Error (IATE) rule. A comparative analysis has been carried out in this paper by simulating the BLDC motor in MATLAB/Simulink and conducting experimental setup in the laboratory.
Result: The results reveal that the performance of FOPID controller is better regarding settling time, steady state error and ripple factor in the speed response with sudden load application.
Fractional order controller, experimental, PSO, brushless DC motor, fuzzy logic, MOSFET.
Department of Electrical & Electronics Engineering, Research Scholar, Jawaharlal Nehru Technological University, Kakinada, AP, Department of Electrical & Electronics Engineering, Professor, Jawaharlal Nehru Technological University College of Engineering, Pulivendula, AP