Pole-zero form fractional model identification in frequency domain

Journal Article · Thu Mar 05 00:00:00 EST 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3106486· OSTI ID:21293328

Mansouri, R; Djamah, T; Djennoune, S ^[1]; Bettayeb, M ^[2]

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1. Laboratoire de Conception et Conduite des Systemes de Production (L2CSP), Mouloud Mammeri University of Tizi Ouzou (15000) (Algeria)
2. Department of Electrical and Computer Engineering, University of Sharjah (United Arab Emirates)

This paper deals with system identification in the frequency domain using non integer order models given in the pole-zero form. The usual identification techniques cannot be used in this case because of the non integer orders of differentiation which makes the problem strongly nonlinear. A general identification method based on Levenberg-Marquardt algorithm is developed and allows to estimate the (2n+2m+1) parameters of the model. Its application to identify the ''skin effect'' of a squirrel cage induction machine modeling is then presented.

• OSTI ID: 21293328
• Journal Information: AIP Conference Proceedings, Vol. 1107, Issue 1; Conference: CISA'09: 2. Mediterranean conference on intelligent systems and automation, Zarzis (Tunisia), 23-25 Mar 2009; Other Information: DOI: 10.1063/1.3106486; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
ARTIFICIAL INTELLIGENCE
INDUCTION
NONLINEAR PROBLEMS
NONLINEAR PROGRAMMING
PATTERN RECOGNITION
SIMULATION