Adaptive neuro-fuzzy inference system modeling of an induction motor

This paper presents a new modeling technique for an induction motor using adaptive neuro-fuzzy inference system (ANFIS). A simple and more realistic model of the induction motor has been developed. The values of stator voltage (Vs), stator current (Is) and rotor angular velocity (ωr) are taken from the free acceleration test data for simulation and 5 HP motor was used. Using ANFIS, the parameter sets of the model are estimated. The simplified model contains eleven estimated parameters. In this paper, a new estimation technique for modeling of induction motor is presented and simulation was carried out. The identified model can be utilized for electric drives.