Parametric identification of induction machine classic and fractional park model

Abstract

This paper deals with identification of conventional and fractional park's model of induction machine. Output error identification method, based on Levenberg Marquardt algorithm is used to identify machine's parameters. Identification algorithms are implemented without any prior information and by considering the direct approach. An illustrative example is presented to show the efficiency of methods and comparative remarks between the two models are also given. Monte Carlo simulations are used to demonstrate the validity of theoretical method.