Real-time QFT Control for Temperature in Greenhouses

Sudden changes in a greenhouse environment negatively impact the development and production of crops, especially in greenhouses with natural ventilation when temperatures are low at night and change rapidly due to wet winds. To mitigate these variations, a design of a robust controller based on Quan...

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Main Authors: Rafael Augusto Núñez Rodríguez, Carlos L. Corzo R.
Format: Article
Language:English
Published: Universidad de las Fuerzas Armadas ESPE 2019-05-01
Series:Maskay
Subjects:
Online Access:https://journal.espe.edu.ec/ojs/index.php/maskay/article/view/1162
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author Rafael Augusto Núñez Rodríguez
Carlos L. Corzo R.
author_facet Rafael Augusto Núñez Rodríguez
Carlos L. Corzo R.
author_sort Rafael Augusto Núñez Rodríguez
collection DOAJ
description Sudden changes in a greenhouse environment negatively impact the development and production of crops, especially in greenhouses with natural ventilation when temperatures are low at night and change rapidly due to wet winds. To mitigate these variations, a design of a robust controller based on Quantitative Feedback Theory (QFT) as from a Smith predictor structure for the dead-time system is proposed. This structure offers high stability based on the gain margin, the phase margin, and the rejection of disturbances in the system output. This design was contrasted with a PID controller based on performance indices, according to the transient response and error in the presence of changes in the point of operation and charge disturbances. Final results showed that the dynamic response of the QFT controller improved compared to PID controller results.
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spelling doaj.art-f2675266e9a746ec92e358e0832c12d02022-12-21T18:56:16ZengUniversidad de las Fuerzas Armadas ESPEMaskay1390-67122019-05-0192586210.24133/maskay.v9i2.1162746Real-time QFT Control for Temperature in GreenhousesRafael Augusto Núñez Rodríguez0Carlos L. Corzo R.1Unidades Tecnológicas de SantanderUnidades Tecnológicas de SantanderSudden changes in a greenhouse environment negatively impact the development and production of crops, especially in greenhouses with natural ventilation when temperatures are low at night and change rapidly due to wet winds. To mitigate these variations, a design of a robust controller based on Quantitative Feedback Theory (QFT) as from a Smith predictor structure for the dead-time system is proposed. This structure offers high stability based on the gain margin, the phase margin, and the rejection of disturbances in the system output. This design was contrasted with a PID controller based on performance indices, according to the transient response and error in the presence of changes in the point of operation and charge disturbances. Final results showed that the dynamic response of the QFT controller improved compared to PID controller results.https://journal.espe.edu.ec/ojs/index.php/maskay/article/view/1162QFT controllerRobust ControlTemperature ControlSmith predictor
spellingShingle Rafael Augusto Núñez Rodríguez
Carlos L. Corzo R.
Real-time QFT Control for Temperature in Greenhouses
Maskay
QFT controller
Robust Control
Temperature Control
Smith predictor
title Real-time QFT Control for Temperature in Greenhouses
title_full Real-time QFT Control for Temperature in Greenhouses
title_fullStr Real-time QFT Control for Temperature in Greenhouses
title_full_unstemmed Real-time QFT Control for Temperature in Greenhouses
title_short Real-time QFT Control for Temperature in Greenhouses
title_sort real time qft control for temperature in greenhouses
topic QFT controller
Robust Control
Temperature Control
Smith predictor
url https://journal.espe.edu.ec/ojs/index.php/maskay/article/view/1162
work_keys_str_mv AT rafaelaugustonunezrodriguez realtimeqftcontrolfortemperatureingreenhouses
AT carloslcorzor realtimeqftcontrolfortemperatureingreenhouses