• DocumentCode
    1714757
  • Title

    Study of the Fuzzy Neural Network Control used in a new type of household central air conditioning

  • Author

    Lin Fei ; Yu Chunxuan

  • Author_Institution
    Beijing Univ. of Technol., Beijing, China
  • fYear
    2013
  • Firstpage
    3510
  • Lastpage
    3514
  • Abstract
    This paper introduces a method of control for a new type of household central air conditioning system which is designed for a new building mode with multilayer envelope. According to system´s characteristics such as multi-variable, large hysteresis and non-linear, this paper establishes suitable system architecture and proposes a control method based on fuzzy neural network. With fuzzy neural network´s forward propagation and feedback, the system completes fuzzy reasoning and self-learning process. So it can quickly and accurately analyze the measure data in order to achieve real-time control effects. At last experimental results show that the control method is feasible and has a good dynamic and steady - state performance.
  • Keywords
    air conditioning; backpropagation; control system synthesis; feedback; fuzzy neural nets; fuzzy reasoning; neurocontrollers; building mode; control effects; feedback; forward propagation; fuzzy neural network control; fuzzy reasoning process; household central air conditioning system; large hysteresis characteristics; multilayer envelope; multivariable characteristics; nonlinear characteristics; self-learning process; Central air conditioning; Fuzzy control; Fuzzy neural networks; Neural networks; Shock absorbers; Temperature distribution; BP algorithm; Fuzzy neural network; Household central air conditioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640028