• DocumentCode
    2952017
  • 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
  • fYear
    2011
  • fDate
    15-18 Nov. 2011
  • Firstpage
    283
  • Lastpage
    288
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2011 IEEE
  • Conference_Location
    Cuernavaca, Morelos
  • Print_ISBN
    978-1-4577-1879-3
  • Type

    conf

  • DOI
    10.1109/CERMA.2011.52
  • Filename
    6125843