• DocumentCode
    2834982
  • Title

    Frequency-Variable Air Conditioner Controller Using Neural Network

  • Author

    Liu, Xuepeng ; Zhao, Dongmei ; Wu, Jianxin

  • Author_Institution
    Dept. of Mech. Eng., Zhongshan Polytech., Zhongshan, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    It is common to control the frequency-variable air conditioner by using PED controller. However, the paper designs an algorithm for frequency-variable air conditioner by using neural networks. The neural network frame has the following characteristics: three-layer frame, two inputs, one output, while the hidden middle layer is designed with five nodes, input layer with linear signal, output layer with linear signal output. The neural network remembers the compressor track and running principle. The trained sample is used to control online. Experiments show that the scheme is capable of adapting to system variation. Even in poor condition the system can obtain the stable condition with current of 6.7A.
  • Keywords
    air conditioning; compressors; frequency control; neurocontrollers; compressor track; current 6.7 A; frequency-variable air conditioner controller; neural network; running principle; Cities and towns; Frequency; Fuzzy systems; Mechanical engineering; Neural networks; PD control; Pi control; Signal processing algorithms; Stators; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5364368
  • Filename
    5364368