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Comparative analysis of the PID algorithm synthesis at the object model with astatism and dead time

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dc.contributor.author IZVOREANU, Bartolomeu
dc.contributor.author SECRIERU, Adrian
dc.contributor.author FIODOROV, Ion
dc.contributor.author COJUHARI, Irina
dc.contributor.author MORARU, Dumitru
dc.contributor.author POTLOG, Mihail
dc.date.accessioned 2022-04-12T11:25:54Z
dc.date.available 2022-04-12T11:25:54Z
dc.date.issued 2021
dc.identifier.citation IZVOREANU, Bartolomeu, SECRIERU, Adrian, FIODOROV, Ion et al. Localization of Objects in 3D Space by Using a Stereoscopic Video System. In: International Conference on Electronics, Communications and Computing: proc. IC ECCO, 21-22 Oct. 2021, Chişinău. Republica Moldova, 2021, pp. 142-147. 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.02
dc.identifier.uri http://repository.utm.md/handle/5014/20082
dc.description.abstract The paper presents the comparative analysis of the synthesis methods of the PID tuning algorithm for the model of the object with first degree astatism and dead time. In the practice of industrial and technological process automation, mathematical models attached to processes are considered models with first degree astatism and dead time. It analyzes the methods that can be applied for tuning algorithms to these types of process models. Systems with dead time transfer elements do not have finite dimensional systemic achievements, but have an infinite number of polyzeros. In practice, these models are approximated with rational forms known as Pade approximations with minimal and non-minimal phase. The method of tuning the PID controller shall be analyzed using analytical method of maximum degree of stability and method of maximum degree of stability with iterations. In the object model the dead time component is approximated with Pade approximations with minimal phase and for these models the PID algorithm is synthesized according to the method of the maximum degree with iterations. The PID algorithm is synthesized according to the proposed methods for two examples of values of the parameters of the model of the control object with astatism and dead time and the obtained results are analyzed. The advantages of the method of maximum stability with iterations are highlighted. 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 mathematical models en_US
dc.subject technological process automation en_US
dc.subject astatism en_US
dc.subject dead time en_US
dc.title Comparative analysis of the PID algorithm synthesis at the object model with astatism and dead time 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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