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Synthesis of the PID controller to the system with maximum stability degree based on the genetic algorithm

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dc.contributor.author COJUHARI, Irina
dc.contributor.author IZVOREANU, Bartolomeu
dc.contributor.author FIODOROV, Ion
dc.contributor.author MORARU, Dumitru
dc.contributor.author LISNIC, Inga
dc.date.accessioned 2019-11-02T11:02:10Z
dc.date.available 2019-11-02T11:02:10Z
dc.date.issued 2019
dc.identifier.citation COJUHARI, Irina, IZVOREANU, Bartolomeu, FIODOROV, Ion et al. Synthesis of the PID controller to the system with maximum stability degree based on the genetic algorithm. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 41. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5894
dc.description Abstract en_US
dc.description.abstract The control problem in the various industrial applications is one of the most important problem, on which depends the high performance of the automatic control system. At the automation of the industrial processes in a lot of cases are widely used the PID controller and its variation. There are a lot of tuning methods of the PID controller and one of the tuning method is the maximum stability degree (GMS) method with iterations [1]. This method is graph-analytical methods which permits to obtain good performance of the automatic control, but this method require to be known the mathematical model of the control object. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM 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 maximum stability degree method en_US
dc.subject genetic algorithm en_US
dc.subject PID controller en_US
dc.title Synthesis of the PID controller to the system with maximum stability degree based on the genetic algorithm en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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