Resumen
This paper shows a methodological approach to selecting input-output pairings and tuning controllers for multivariable systems based on multi-objective optimization. The methodology is applied to a nonlinear multivariable system called a boiler-turbine unit (electrical power generation system). Two scenarios and two design concepts (input-output pairings and controllers) were defined, each with six design objectives. It was shown in detail that one design concept is better than the other in each scenario for tracking a reference. It is important to mention that the proposed methodology establishes a unified framework to select suitable loop pairings and tune multivariable controllers defining what in this paper is known as a design concept. The methodology establishes a global comparison framework of each design concept so that a designer according to his/her preferences selects an optimal solution to control the system.
Idioma original | Inglés |
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Título de la publicación alojada | Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 443-449 |
Número de páginas | 7 |
ISBN (versión digital) | 9781665458412 |
DOI | |
Estado | Publicada - 2021 |
Evento | 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, Estados Unidos Duración: 15 dic. 2021 → 17 dic. 2021 |
Serie de la publicación
Nombre | Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 |
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Conferencia
Conferencia | 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 |
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País/Territorio | Estados Unidos |
Ciudad | Las Vegas |
Período | 15/12/21 → 17/12/21 |
Nota bibliográfica
Publisher Copyright:© 2021 IEEE.