• DocumentCode
    1900699
  • Title

    Research on the Intelligent Controller for Air-Condition with Frequency Change Based on Fuzzy Neural Network

  • Author

    Wei, Siwei ; Wang, Ruoxi

  • Author_Institution
    Sch. of Automotive Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is difficult to structure a precise math mode in the control of room´s temperature for air-conditioning, because the controlled system has nonlinearity,change parameters, large delay and more disturbing. A new controller based on fuzzy control theory is designed to control room´s temperature for air-conditioning in this paper.In the control,neural network is used to train fuzzy reason parameters and rules.In order to track the character of system,RBF network is used to identify the system in control.Simulating experiment shows that the designed intelligent controller has better controlling effect than other conventional controller.
  • Keywords
    air conditioning; fuzzy control; fuzzy reasoning; neurocontrollers; radial basis function networks; temperature control; RBF network; air-conditioning; frequency change; fuzzy control theory; fuzzy neural network; fuzzy reason parameter; intelligent controller; precise math mode; rooms temperature control; Adaptation model; Artificial neural networks; Atmospheric modeling; Fuzzy control; Fuzzy neural networks; Temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678330
  • Filename
    5678330