Maestría en Electrónica y Automatización

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Author: search.filters.author.Balseca Chicaiza, Alvaro BladimiroSubject: search.filters.subject.ÍNDICE ISE

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    Diseño de un controlador multivariable utilizando herramientas de inteligencia artificial aplicado al proceso de incubación de embriones de Gallus Gallus Domesticus
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Balseca Chicaiza, Alvaro Bladimiro; Herrera Garzón, Marco Antonio
    This project presents, a multivariable control using fuzzy logic and genetic algorithms (GA) as Artificial Intelligence (AI) tools, applied to the hatching process of “Gallus gallus domesticus” embryos. The incubation process is a system with high interactions among its input and output variables. To reduce these interactions, a dynamic decoupling network is used through Relative Gain Array (RGA) analysis. The proportional integral (PI) controllers and the linear decoupler are designed from singlevariable control structures obtained from a parametric identification for systems that can be pproximated to first order and first order with delay (FOPDT) models. Performance of PI, PI-Fuzzy and PI-Fuzzy controllers tuned with Genetic Algorithms (GA), are evaluated through a comparison of the integral squared error (ISE), integral absolute error (IAE) and total variation control (TVu) through simulations in MATLAB® and experimental tests using the NODEMCU ESP-WROOM-32 embedded system.