Title :
Parametric identification of induction machine classic and fractional park model
Author :
Hammami, Rahma ; Khadhraoui, Abir ; Jelassi, Khaled ; Ben Ameur, Imene
Author_Institution :
ENIT-L.S.E., Univ. de Tunis El Manar, Tunis, Tunisia
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.
Keywords :
Monte Carlo methods; asynchronous machines; Levenberg Marquardt algorithm; Monte Carlo simulations; error identification; fractional park model; identification algorithms; induction machine; parametric identification; Algorithm design and analysis; Gold; Induction machines; Minimization; Rotors; Silicon; Zinc; Fractional integration operator; Induction Machine; fractional impedance; non integer order model; output error identification; skin effect;
Conference_Titel :
Electrical Sciences and Technologies in Maghreb (CISTEM), 2014 International Conference on
DOI :
10.1109/CISTEM.2014.7076962