Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus

Alvaro Balseca; Marco Herrera; Oscar Camacho

doi:10.1007/978-3-031-24985-3_12

Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus

Alvaro Balseca
, Marco Herrera
, Oscar Camacho^*

^*Corresponding author for this work

Ingeniería Electrónica y Automatización

Universidad Técnica de Ambato
Escuela Politecnica Nacional

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

1 Scopus citations

Abstract

In this paper, a multivariable control using fuzzy logic and genetic algorithms (GA) is developed to control the incubation process of “gallus gallus domesticus” embryos. The incubation process is a system with high interactions among its input and output variables. A dynamic decoupling is used through Relative Gain Array (RGA) analysis to reduce these interactions. The proportional-integral (PI) controllers and the linear decoupler are designed from single-variable control structures obtained from a parametric identification for systems that can approximate first order and first order with a delay (FOPDT). Comparative performance analysis of PI, PI-Fuzzy, and PI-Fuzzy tuned with Genetic Algorithms controllers are evaluated using the integral squared error (ISE) and integral absolute error (IAE) through experimental tests using the NODEMCU ESP-WROOM-32 embedded system.

Original language	English
Title of host publication	Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers
Editors	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Sergio Montes León, Pablo Torres-Carrión, Benjamin Durakovic
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	155-170
Number of pages	16
ISBN (Print)	9783031249846
DOIs	https://doi.org/10.1007/978-3-031-24985-3_12
State	Published - 28 Jan 2023
Event	4th International Conference on Applied Technologies, ICAT 2022 - Quito, Ecuador Duration: 23 Nov 2022 → 25 Nov 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1755 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	4th International Conference on Applied Technologies, ICAT 2022
Country/Territory	Ecuador
City	Quito
Period	23/11/22 → 25/11/22

Keywords

Fuzzy logic
Genetic algorithms
Multivariable control

Access to Document

10.1007/978-3-031-24985-3_12

Cite this

Balseca, A., Herrera, M., & Camacho, O. (2023). Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus. In M. Botto-Tobar, M. Zambrano Vizuete, S. Montes León, P. Torres-Carrión, & B. Durakovic (Eds.), Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers (pp. 155-170). (Communications in Computer and Information Science; Vol. 1755 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24985-3_12

Balseca, Alvaro ; Herrera, Marco ; Camacho, Oscar. / Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus. Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers. editor / Miguel Botto-Tobar ; Marcelo Zambrano Vizuete ; Sergio Montes León ; Pablo Torres-Carrión ; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2023. pp. 155-170 (Communications in Computer and Information Science).

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abstract = "In this paper, a multivariable control using fuzzy logic and genetic algorithms (GA) is developed to control the incubation process of “gallus gallus domesticus” embryos. The incubation process is a system with high interactions among its input and output variables. A dynamic decoupling is used through Relative Gain Array (RGA) analysis to reduce these interactions. The proportional-integral (PI) controllers and the linear decoupler are designed from single-variable control structures obtained from a parametric identification for systems that can approximate first order and first order with a delay (FOPDT). Comparative performance analysis of PI, PI-Fuzzy, and PI-Fuzzy tuned with Genetic Algorithms controllers are evaluated using the integral squared error (ISE) and integral absolute error (IAE) through experimental tests using the NODEMCU ESP-WROOM-32 embedded system.",

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Balseca, A, Herrera, M & Camacho, O 2023, Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus. in M Botto-Tobar, M Zambrano Vizuete, S Montes León, P Torres-Carrión & B Durakovic (eds), Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers. Communications in Computer and Information Science, vol. 1755 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 155-170, 4th International Conference on Applied Technologies, ICAT 2022, Quito, Ecuador, 23/11/22. https://doi.org/10.1007/978-3-031-24985-3_12

Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus. / Balseca, Alvaro; Herrera, Marco; Camacho, Oscar.
Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers. ed. / Miguel Botto-Tobar; Marcelo Zambrano Vizuete; Sergio Montes León; Pablo Torres-Carrión; Benjamin Durakovic. Springer Science and Business Media Deutschland GmbH, 2023. p. 155-170 (Communications in Computer and Information Science; Vol. 1755 CCIS).

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

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AU - Herrera, Marco

AU - Camacho, Oscar

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N2 - In this paper, a multivariable control using fuzzy logic and genetic algorithms (GA) is developed to control the incubation process of “gallus gallus domesticus” embryos. The incubation process is a system with high interactions among its input and output variables. A dynamic decoupling is used through Relative Gain Array (RGA) analysis to reduce these interactions. The proportional-integral (PI) controllers and the linear decoupler are designed from single-variable control structures obtained from a parametric identification for systems that can approximate first order and first order with a delay (FOPDT). Comparative performance analysis of PI, PI-Fuzzy, and PI-Fuzzy tuned with Genetic Algorithms controllers are evaluated using the integral squared error (ISE) and integral absolute error (IAE) through experimental tests using the NODEMCU ESP-WROOM-32 embedded system.

AB - In this paper, a multivariable control using fuzzy logic and genetic algorithms (GA) is developed to control the incubation process of “gallus gallus domesticus” embryos. The incubation process is a system with high interactions among its input and output variables. A dynamic decoupling is used through Relative Gain Array (RGA) analysis to reduce these interactions. The proportional-integral (PI) controllers and the linear decoupler are designed from single-variable control structures obtained from a parametric identification for systems that can approximate first order and first order with a delay (FOPDT). Comparative performance analysis of PI, PI-Fuzzy, and PI-Fuzzy tuned with Genetic Algorithms controllers are evaluated using the integral squared error (ISE) and integral absolute error (IAE) through experimental tests using the NODEMCU ESP-WROOM-32 embedded system.

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KW - Multivariable control

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SN - 9783031249846

T3 - Communications in Computer and Information Science

SP - 155

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BT - Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers

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A2 - Zambrano Vizuete, Marcelo

A2 - Montes León, Sergio

A2 - Torres-Carrión, Pablo

A2 - Durakovic, Benjamin

PB - Springer Science and Business Media Deutschland GmbH

T2 - 4th International Conference on Applied Technologies, ICAT 2022

Y2 - 23 November 2022 through 25 November 2022

ER -

Balseca A, Herrera M, Camacho O. Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus. In Botto-Tobar M, Zambrano Vizuete M, Montes León S, Torres-Carrión P, Durakovic B, editors, Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 155-170. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-24985-3_12