Fuzzy Logic | |
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Fuzzy logic is a methodology that provides a simple and elegant way to get a conclusion from vague, ambiguous, imprecise, noisy or incomplete input information. In general, fuzzy logic imitates how the person makes decisions based on information with the mentioned characteristics. One of the advantages of fuzzy logic is the possibility of implementing systems based on it in hardware or software or in combination of both [1]. | |
Fuzzy control systems for industrial aplications | |
In this project, we develop a
fuzzy control that has the ability to
reduce energy use and
uncertainties in crop production
by reducing or increasing the temperature in a homemade
urban greenhouse. We use
hydroponic tomato cultivation
as our test case because tomatoes are part of the goods and
services category for the "Índice Nacional de Precios al
Consumidor" in México, which is an important reference for
greenhouse crops and because hydroponics is a technique that
saves precious resources, such as water. Fuzzy control
allows a person to give instructions to the
greenhouse in a natural
language. Therefore, we generate input variables to relate
the temperature inside the greenhouse to favorable or
unfavorable conditions for crop growth and an output
variable that allows the fan
control. After the mathematical model was refined,
it is executed in a GNU Octave environment to generate the
temperature values at which the fan should react [2]. |
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Behavior of the heater and fan [1] | |
Bsc. Thesis Student:Luis Carlos Hernández 114917 [1] |
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References: | |
[1] Bachelor thesis: “Fuzzy control system to regulate the temperature of a greenhouse,” by the student Luis Carlos Hernández Meléndez, to get the title of Engineer in Mechatronics. Mechatronics Program. Autonomous University of Ciudad Juárez. May 2018. (Advisor: Dr. Ricardo Rodriguez Jorge). | |
[2] Montes Olguín, A., & Rodriguez Jorge, R. (2017). Fuzzy control proposal for the climate of a homemade greenhouse. In Frontiers in Artificial Intelligence and Applications (Vol. 295, pp. 257–266). IOS Press. https://doi.org/10.3233/978-1-61499-773-3-257 | |