Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber

In this paper, a fuzzy logic controller was design and develop to control the temperature, relative humidity and Carbon Dioxide (CO2) inside the prototype tomato growth chamber. The model was develop to automatically adjust the inside parameters to obtain the optimum tomato plant environment conditi...

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Main Authors: Fernando, Arvin H., Bandala, Argel A., Gan Lim, Laurence A., Maglaya, Archie B., Ledesma, Nadine, Vicerra, Ryan Rhay P., Gonzaga, Jeremias
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2755
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-37542023-01-10T01:56:43Z Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber Fernando, Arvin H. Bandala, Argel A. Gan Lim, Laurence A. Maglaya, Archie B. Ledesma, Nadine Vicerra, Ryan Rhay P. Gonzaga, Jeremias In this paper, a fuzzy logic controller was design and develop to control the temperature, relative humidity and Carbon Dioxide (CO2) inside the prototype tomato growth chamber. The model was develop to automatically adjust the inside parameters to obtain the optimum tomato plant environment condition. The growth chamber fuzzy logic controller was modeled using the MATLAB fuzzy logic tool box. In this research we design a fuzzy logic controller (FLC) to control the environment parameters in the growth chamber. In order to provide the most suitable conditions for the growth of the tomato plant and might minimize energy consumption. © 2017 IEEE. 2017-07-02T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2755 Faculty Research Work Animo Repository Growth cabinets and rooms—Environmental engineering Mechanical Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Growth cabinets and rooms—Environmental engineering
Mechanical Engineering
spellingShingle Growth cabinets and rooms—Environmental engineering
Mechanical Engineering
Fernando, Arvin H.
Bandala, Argel A.
Gan Lim, Laurence A.
Maglaya, Archie B.
Ledesma, Nadine
Vicerra, Ryan Rhay P.
Gonzaga, Jeremias
Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
description In this paper, a fuzzy logic controller was design and develop to control the temperature, relative humidity and Carbon Dioxide (CO2) inside the prototype tomato growth chamber. The model was develop to automatically adjust the inside parameters to obtain the optimum tomato plant environment condition. The growth chamber fuzzy logic controller was modeled using the MATLAB fuzzy logic tool box. In this research we design a fuzzy logic controller (FLC) to control the environment parameters in the growth chamber. In order to provide the most suitable conditions for the growth of the tomato plant and might minimize energy consumption. © 2017 IEEE.
format text
author Fernando, Arvin H.
Bandala, Argel A.
Gan Lim, Laurence A.
Maglaya, Archie B.
Ledesma, Nadine
Vicerra, Ryan Rhay P.
Gonzaga, Jeremias
author_facet Fernando, Arvin H.
Bandala, Argel A.
Gan Lim, Laurence A.
Maglaya, Archie B.
Ledesma, Nadine
Vicerra, Ryan Rhay P.
Gonzaga, Jeremias
author_sort Fernando, Arvin H.
title Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
title_short Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
title_full Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
title_fullStr Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
title_full_unstemmed Design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
title_sort design of a fuzzy logic controller for a vent fan and growlight in a tomato growth chamber
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/2755
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