A fuzzy adaptive control method for brushless DC motor

Aiming at the difficulty of changing the control parameters of traditional PID controllers, a fuzzy logic controller automatically constructed by the genetic algorithm is proposed, which is applied to the fuzzy adaptive control for brushless DC motors to improve the control performance. A comparative study is carried out between the adaptive fuzzy PID control and traditional PID control, which were used to separately drive the brushless DC motor. Simulation results show that the fuzzy PID control system has better dynamic performance and robustness than the traditional PID control system.