Today, vehicles are increasingly equipped with brushless DC permanent magnet motors due to the nature of sensorless operation. BLDC motor controllers can operate the effective speed and position control in a closed loop feedback system without a position sensor mounted on the shaft. The fractional order PID controller is one of the most common examples of a feedback control algorithm used in many control processes. The BLDC sensorless motor drive has better optimal control over the rotor speed and accuracy with the help of PID fractional controller (FOPID). In this paper, using two meta-heuristic optimization algorithms, the FOPID control parameters including sitting time, rising time, overload and step response stability of the mentioned system were optimized. The results show that the PMBLDC stepper motor response using the proposed genetic algorithm provides better control performance compared to other available methods.
کلید واژگان :
PMBLDC Fractional Order Proportional Integral Derivative (FOPID) Controller Metaheuristic algorithm Genetic algorithm Differential Evolutionary algorithm
