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Tuning the Fuzzy Controller for Speed Control of the DC Motor

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dc.contributor.author MELNIC, Vladimir
dc.contributor.author COJUHARI, Irina
dc.date.accessioned 2022-12-28T13:51:04Z
dc.date.available 2022-12-28T13:51:04Z
dc.date.issued 2022
dc.identifier.citation MELNIC, Vladimir, COJUHARI, Irina. Tuning the Fuzzy Controller for Speed Control of the DC Motor. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 240-243. en_US
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2022/CE.05
dc.identifier.uri http://repository.utm.md/handle/5014/21865
dc.description.abstract In this paper, it is developed the fuzzy controller for speed control of the DC motor. The obtained results of tuning the controller were compared with maximum stability degree method with iterations and genetic algorithm. To verify the efficiency of the developed fuzzy controller the computer simulation was done. The algorithm of tuning the fuzzy controller was designed according to the error and the rate of change of the error signal, so that performance of 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 fuzzy controllers en_US
dc.subject proportional–integral–derivative controllers en_US
dc.subject automatic control systems en_US
dc.subject stability degree method en_US
dc.title Tuning the Fuzzy Controller for Speed Control of the DC Motor en_US
dc.type Article en_US


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  • 2022
    Proceedings of the 12th IC|ECCO; October 20-21, 2022

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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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