Evaluation of Intelligent Greenhouse Climate Control System, Based Fuzzy Logic in Relation to Conventional Systems

Author

Javadikia, P. ; Tabatabaeefar, A. ; Omid, M. ; Alimardani, R. ; Fathi, M.

Author_Institution

Dept. of Agric. Machinery Eng., Univ. of Tehran, Karaj, Iran

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

146

Lastpage

150

Abstract

In this paper, at first a model of greenhouse is simulated with thermodynamic equations and then two greenhouse climate controllers (GHCC) are designed using a Fuzzy Logic controller and On/Off controller. The developed Fuzzy Logic Controller (FLC) prototype is based on Mamdani controller and it is built on the MATLAB software, then both of controllers are used with greenhouse model in simulation space of MATLAB software to understand the performance of each controllers and affection on the controlling parameters such as temperature and air humidity of inside the Greenhouse. The results show that the proposed Fuzzy Logic Controller is very user friendly, easy to design, highly adaptable and quick to perform.

Keywords

climatology; fuzzy control; fuzzy set theory; greenhouses; mathematics computing; on-off control; MATLAB software; Mamdani controller; air humidity; fuzzy logic controller; intelligent greenhouse climate control system; on/off controller; temperature; thermodynamic equations; user friendly; Control systems; Equations; Fuzzy logic; Humidity control; Intelligent control; MATLAB; Mathematical model; Software performance; Temperature control; Thermodynamics; controlling system; fuzzy; greenhouse; on/off; simulink;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.494

Filename

5376402