A robust torque control of induction motor for electric vehicle applications using ANFIS

Motor parameter variations in electric vehicles using induction motor drive system are larger than in industrial drive system. In this paper, a robust fuzzy torque control system using ANFIS (adaptive neuro-fuzzy inference system) is presented. ANFIS provide simplicity, accuracy and good performance. The block diagram of this system and the membership functions of every fuzzy variable are also given in this paper. The simulation results show that the neuro-fuzzy torque control has better dynamic torque response than the conventional torque control. In addition, the sturdiness of the fuzzy control is proved. Estimation of stator resistance using ANFIS is also presented.