Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization

Victor Huilcapi; Xavier Blasco; Juan M. Herrero; Alberto Pajares; Gilberto Reynoso-Meza

doi:10.1109/CSCI54926.2021.00144

Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization

Victor Huilcapi, Xavier Blasco, Juan M. Herrero, Alberto Pajares, Gilberto Reynoso-Meza

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	443-449
Number of pages	7
ISBN (Electronic)	9781665458412
DOIs	https://doi.org/10.1109/CSCI54926.2021.00144
State	Published - 2021
Event	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 - Las Vegas, United States Duration: 15 Dec 2021 → 17 Dec 2021

Publication series

Name	Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021

Conference

Conference	2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021
Country/Territory	United States
City	Las Vegas
Period	15/12/21 → 17/12/21

Bibliographical note

Funding Information:
This work has been supported by Universidad Politecnica Salesiana through project No. 04-016-2021-09-22 and the Ministerio de Ciencia, Innovacion y Universidades, Spain, under grant RTI2018-096904-B-I00. We would like to thank the Robotics and Control Systems Research group (GISCOR)

Funding Information:
This work has been supported by Universidad Politécnica Salesiana through project No. 04-016-2021-09-22 and the Ministerio de Ciencia, Innovación y Universidades, Spain, under grant RTI2018-096904-B-I00W. e would like to thank the Robotics and Control Systems Research group (GISCOR).

Publisher Copyright:
© 2021 IEEE.

Keywords

design concept
input-ouput pairing
Multi-objective evolutionary optimization
multivariable control system
nonlinear system

Access to Document

10.1109/CSCI54926.2021.00144

Cite this

Huilcapi, V., Blasco, X., Herrero, J. M., Pajares, A., & Reynoso-Meza, G. (2021). Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 (pp. 443-449). (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCI54926.2021.00144

Huilcapi, Victor ; Blasco, Xavier ; Herrero, Juan M. et al. / Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 443-449 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

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title = "Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization",

abstract = "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.",

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doi = "10.1109/CSCI54926.2021.00144",

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Huilcapi, V, Blasco, X, Herrero, JM, Pajares, A & Reynoso-Meza, G 2021, Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. in Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Institute of Electrical and Electronics Engineers Inc., pp. 443-449, 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, Las Vegas, United States, 15/12/21. https://doi.org/10.1109/CSCI54926.2021.00144

Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. / Huilcapi, Victor; Blasco, Xavier; Herrero, Juan M. et al.
Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 443-449 (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Huilcapi V, Blasco X, Herrero JM, Pajares A, Reynoso-Meza G. Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization. In Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 443-449. (Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021). doi: 10.1109/CSCI54926.2021.00144

Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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