Experimental Identification of the Mathematical Model of the DC Motor based on the Genetic Algorithm

MELNIC, Vladimir; COJUHARI, Irina

dc.contributor.author	MELNIC, Vladimir
dc.contributor.author	COJUHARI, Irina
dc.date.accessioned	2020-12-11T14:40:32Z
dc.date.available	2020-12-11T14:40:32Z
dc.date.issued	2020
dc.identifier.citation	MELNIC, Vladimir, COJUHARI, Irina. Experimental Identification of the Mathematical Model of the DC Motor based on the Genetic Algorithm. In: International Conference on Intelligent Information Systems. 4-5 decembrie 2020, Chișinău. Chișinău: Tipografia "Valinex", 2020, pp. 109-114. ISBN 978-9975-68-415-6.	en_US
dc.identifier.isbn	978-9975-68-415-6
dc.identifier.uri	http://repository.utm.md/handle/5014/12079
dc.description.abstract	In this paper it is presented the experimental identification of the mathematical model of the DC motor. The experimental curve of the DC motor was raised and it was proposed to be approximated with transfer function with inertia of the second and the third order. For identification procedure it was used the genetic algorithm. As objective functions there are proposed to be used the Mean of the Squared Error, Integral of Time multiplied by Absolute Error, Integral of Absolute Magnitude of the Error, and Integral of the Squared Error.	en_US
dc.language.iso	en	en_US
dc.publisher	Tipografia "Valinex"	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	experimental identification	en_US
dc.subject	transfer functions	en_US
dc.subject	DC motors	en_US
dc.subject	genetic algorithm	en_US
dc.title	Experimental Identification of the Mathematical Model of the DC Motor based on the Genetic Algorithm	en_US
dc.type	Article	en_US