Accurate identification of parameters, in winding function model of induction motor, using genetic algorithm

In this paper for the first time a systematic method for accurate parameter identification of winding function model is presented. The proposed scheme uses a GA with data collected from a simple experiment on the selected motor. The validity of the scheme, correctness and accuracy of the parameters obtained are shown by comparing and finding the matching of experimental and simulation results, for a machine under different operating point conditions.