Stator resistance identification using artificial intelligent technique for the adaptive controller of magnetically saturated induction motor

The problem of controlling the induction motor π-model with magnetic saturation is considered using an adaptive controller with stator current and rotor speed measurement. The new in this paper that in the previous work, only the rotor resistance and load torque can be adapted using the controller but in this work, using artificial intelligent technique, an adaptation of the stator resistance variation of induction motor as well as the rotor resistance and load torque is done. A comparison study is illustated between the different adaptation methods (fuzzy, GA and PSO). All the unknown parameters are assumed constant or slowly varying and are estimated online by the controller. Simulation results are provided for illustration.