Adaptive Neuro Fuzzy Based Soft Starting of DC Motor

Abstract

Soft starters is necessary for dc motors for its big starting current. This paper presents a novel neuro fuzzy based dc voltage controller which modulate the pulses width of the IGBT when the motor is starting. An ANFIS (Adaptive Neuro Fuzzy Inference System) model has been designed to achieve the proposed algorithm. MATLAB/SIMULINK package has been used to simulate the proposed method. Simulation results presented in this paper explain the advantages of proposed soft starting method over conventional method. The advantages of proposed method are its simplicity, stability, and accuracy and fast response.