ANFIS based controllers and modeling simulation of PMBLDC motor and drive system

The paper presents a tuning methodology for the parameters of adaptive speed controller in a permanent-magnet brushless DC (BLDC) motor and drive system. This study discusses a design of the closed loop drive system employing the adaptive-network-based fuzzy interference system (ANFIS) from a mathematical model of the BLDC drive system. The ANFIS based control with nonlinear simulation model of the BLDC motors drive system is simulated in the MATLAB/Simulink platform. The necessary data for training the ANFIS control is generated by simulation of the system with conventional PI controller. The simulated electromagnetic torque and rotor speed signify the superiority of the proposed technique over the classical method.