Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor
An efficient ANFIS based speed controller is proposed for brushless DC motor. ANFIS controller is modeled through modified data of the Fuzzy Tuned PID controller. Off-line Hybrid Learning Algorithm is applied to identify the ANFIS parameters. Simulation has been performed and analyzed for varying speed and load conditions.
anfis controller fuzzy tuned pid controller bldc motor mathematical model of the bldc motor proportional integral controller fuzzy variable structure controller