Speed estimation using ANFIS with the adaptive controller of magnetically saturated induction motor

The problem of controlling the π-model induction motor with magnetic saturation is considered in this proposed research. The speed sensorless using Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique will be used for the adaptive controller with stator current and speed measurement. This proposed research introduces the use of ANFIS technique for motor speed estimation, so there is no need of speed sensor which can reduce the cost than the old method with the classical estimation of any deviation in rotor resistance and load torque. A comparison study is illustrated between the new proposed method and with the previous works that done with speed measurement, which depends on stator currents and speed measurements. All the unknown parameters are assumed constant or slowly varying and are estimated online by the controller. Simulation results are provided for illustration. The proposed technique shows promising results.