TY - GEN
T1 - Multivariable Control Approach Applied to the Embryo Incubation Process of Gallus Gallus Domesticus
AU - Balseca, Alvaro
AU - Herrera, Marco
AU - Camacho, Oscar
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/1/28
Y1 - 2023/1/28
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.
KW - Fuzzy logic
KW - Genetic algorithms
KW - Multivariable control
UR - http://www.scopus.com/inward/record.url?scp=85148016408&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-24985-3_12
DO - 10.1007/978-3-031-24985-3_12
M3 - Contribución a la conferencia
AN - SCOPUS:85148016408
SN - 9783031249846
T3 - Communications in Computer and Information Science
SP - 155
EP - 170
BT - Applied Technologies - 4th International Conference, ICAT 2022, Revised Selected Papers
A2 - Botto-Tobar, Miguel
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 -