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Acceleration and Increase of Reliability of the Algorithm for Numerical Optimization of the PID-Regulators for Automatic Control Systems

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F21%3A00008405" target="_blank" >RIV/46747885:24220/21:00008405 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/chapter/10.1007/978-3-030-65283-8_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-65283-8_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-65283-8_3" target="_blank" >10.1007/978-3-030-65283-8_3</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Acceleration and Increase of Reliability of the Algorithm for Numerical Optimization of the PID-Regulators for Automatic Control Systems

  • Popis výsledku v původním jazyce

    Designing of regulators (controllers) is relevant in many areas of technology. The analytical calculation of the regulators does not justify itself, since it is possible only for objects that have the simplest models; there are relatively few such objects. For objects with a complex model, the method of numerical optimization is most effective. These methods can be used not only when the mathematical model of the object is known, but also in that case, the mathematical model of the object is not known. For this, a series of tests is performed with a real object, a given indicator of the quality of its work is evaluated, and the optimal regulator is calculated by the search procedure. Known search procedures are characterized by an extremely large required number of tests, some of which may prove fatal for the control object, so this method has not yet found wide application. This makes it extremely urgent to develop fast search algorithms that can soften the test mode and reduce their number. The paper offers several effective solutions to speed up the search algorithms, which gives new algorithms that are more effective than all known ones, including those that are embedded in specialized software for these purposes.

  • Název v anglickém jazyce

    Acceleration and Increase of Reliability of the Algorithm for Numerical Optimization of the PID-Regulators for Automatic Control Systems

  • Popis výsledku anglicky

    Designing of regulators (controllers) is relevant in many areas of technology. The analytical calculation of the regulators does not justify itself, since it is possible only for objects that have the simplest models; there are relatively few such objects. For objects with a complex model, the method of numerical optimization is most effective. These methods can be used not only when the mathematical model of the object is known, but also in that case, the mathematical model of the object is not known. For this, a series of tests is performed with a real object, a given indicator of the quality of its work is evaluated, and the optimal regulator is calculated by the search procedure. Known search procedures are characterized by an extremely large required number of tests, some of which may prove fatal for the control object, so this method has not yet found wide application. This makes it extremely urgent to develop fast search algorithms that can soften the test mode and reduce their number. The paper offers several effective solutions to speed up the search algorithms, which gives new algorithms that are more effective than all known ones, including those that are embedded in specialized software for these purposes.

Klasifikace

  • Druh

    C - Kapitola v odborné knize

  • CEP obor

  • OECD FORD obor

    20201 - Electrical and electronic engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    R - Projekt Ramcoveho programu EK

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název knihy nebo sborníku

    Recent Research in Control Engineering and Decision Making

  • ISBN

    978-3-030-65282-1

  • Počet stran výsledku

    12

  • Strana od-do

    27-38

  • Počet stran knihy

    12

  • Název nakladatele

    Springer Nature Switzerland A.G.

  • Místo vydání

    Cham

  • Kód UT WoS kapitoly