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Synthesis the PID Control Algorithm for Speed Control of the DC Motor based on the Genetic Algorithm

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dc.contributor.author MELNIC, Vladimir
dc.contributor.author COJUHARI, Irina
dc.date.accessioned 2022-04-12T11:34:11Z
dc.date.available 2022-04-12T11:34:11Z
dc.date.issued 2021
dc.identifier.citation MELNIC, Vladimir, COJUHARI, Irina. Synthesis the PID Control Algorithm for Speed Control of the DC Motor based on the Genetic Algorithm. In: International Conference on Electronics, Communications and Computing: proc. IC ECCO, 21-22 Oct. 2021, Chişinău. Republica Moldova, 2021, pp. 148-151. ISBN 978-9975-4264-8-0. en_US
dc.identifier.isbn 978-9975-4264-8-0
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2021/CE.03
dc.identifier.uri http://repository.utm.md/handle/5014/20083
dc.description.abstract In this paper, it is proposed to use the genetic algorithm for synthesis the PI and PID control algorithms for speed control of the DC motor, according to the imposed performance, namely settling time. The obtained results were compared with maximum stability degree method with iterations and to demonstrate the efficiency of proposed algorithm the computer simulation was done. The designed algorithm searches for the controller tuning parameters: kp, ki, and kd, so that performance for the closed-loop step response to be satisfied. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova 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 controllers en_US
dc.subject automatic control systems en_US
dc.subject control systems en_US
dc.subject direct current motors en_US
dc.subject computer simulations en_US
dc.title Synthesis the PID Control Algorithm for Speed Control of the DC Motor based on the Genetic Algorithm en_US
dc.type Article en_US


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  • 2021
    Proceedings of the 11th IC|ECCO; October 21-22, 2021

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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