Speed Control of BLDC motor using ANFIS over conventional Fuzzy logic techniques

Abstract: This work proposes a specific controller for Brushless DC motor and a comparative study has been reviewed with intelligent controllers like fuzzy logic controllers and Adaptive Neuro Fuzzy Inference system. A detailed analysis is done through simulation using Matlab Simulink tool. The performance of Brushless DC motor is analyzed and the dynamic characteristics of the motor is also observed .The system control parameters like peak overshoot, undershoot, rise time recovery time and steady state error are measured and their results are compared with the ANFIS and Fuzzy controllers. To validate the performance of the controller different conditions and loading criteria has been done.