Title:	Application results identification based on genetic algorithm in nonlinear control design of magnetic levitation system
Authors:	Šuster, Peter Jadlovská, Anna
Citation:	Electroscope. 2013, č. 1.
Issue Date:	2013
Publisher:	Západočeská univerzita v Plzni, Fakulta elektrotechnická
Document type:	článek article
URI:	http://147.228.94.30/images/PDF/Rocnik2013/Cislo1_2013/r6c3c8.pdf http://hdl.handle.net/11025/1883
ISSN:	1802-4564
Keywords:	magnetická levitace;simulace a modelování;matematické modelování;nelineární modelování;genetický algoritmus
Keywords in different language:	magnetic levitation;simulation and modelling;mathematical modelling;nonlinear modelling;genetic algorithm
Abstract in different language:	In this paper is presented the SISO laboratory model of Magnetic levitation in terms of mathematic description, which allows verifying the different approaches of identification and control. The nonlinear simulat ion model of the Magnetic levitation based on the mathemat ical model of the Magnetic levitation system is described. The unknown parameters of the Magnetic levitation model are identifying with using the genetic algorithm or direct measurement on the laboratory model and validation the obtained model parameters is performed after the identification. In this paper are also presented the control results of Magnetic levitation simulat ion and laboratory model with using the optimal state control with integrator method and the exact feedback linearizat ion input/output method.
Rights:	© 2013 Electroscope. All rights reserved.
Appears in Collections:	Číslo 1 (2013) Číslo 1 (2013)

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