Title :
Fuzzy C-Means Clustering Technique Applied for Modeling Parameters of an Intelligent Greenhouse Open Control System
Author :
Cepeda, Paul ; Ponce, Pedro ; Romero, David ; Molina, Arturo
Author_Institution :
Tecnol. de Monterrey, Mexico City, Mexico
Abstract :
This paper presents the analysis, design and development of three intelligent open control systems: (1) temperature, (2) relative humidity, and (3) nutrients electrical conductivity - implemented in a sustainable greenhouse located at Tecnologico de Monterrey, Campus Ciudad de Mexico. The intelligent controllers are based on a "Fuzzy C-Means Takagi-Sugeno" control type in order to deal with the nonlinear environmental conditions and variables inside the greenhouse. The proposed open control system was developed using an Intelligent Control Toolkit for LabVIEW™. The intelligent controls are based on an open loop control system that could be used under the boundaries of different crops. Finally, experimental results are shown in order to validate the correct performance of the controllers.
Keywords :
electric variables control; electrical conductivity; fuzzy control; greenhouses; humidity control; intelligent control; pattern clustering; temperature control; virtual instrumentation; LabVIEW; fuzzy c-means Takagi-Sugeno control; fuzzy c-means clustering technique; intelligent control toolkit; intelligent greenhouse open control system; nonlinear environmental conditions; nutrients electrical conductivity control; parameter modeling; relative humidity control; temperature control; Actuators; Conductivity; Green products; Humidity; Takagi-Sugeno model; Temperature measurement; Artificial Intelligence; Fuzzy C-Means.; Intelligent Greenhouse; Open Loop Controller; Takagi-Sugeno Type Fuzzy Logic;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE
Conference_Location :
Cuernavaca, Morelos
Print_ISBN :
978-1-4577-1879-3
DOI :
10.1109/CERMA.2011.52
