• DocumentCode
    2122341
  • Title

    Research for distributed elevator group control base on fuzzy neural network

  • Author

    Liu Tundong ; Liao Xiaosheng ; Zeng Jianping

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    3816
  • Lastpage
    3821
  • Abstract
    In order to meet the increasing requirements on real-time and reliability of elevator group control, ARM chip is applied to construct hardware platform of elevator´s main-board in this paper. Based on ARM embedded hardware platform, distributed architecture of elevator group control is designed, aiming to solve the problems caused by elevator group control´s non-linearity, uncertainty and interference. And on the basis of distributed architecture, fuzzy neural network technology is used to design intelligent scoring algorithm for elevator group control. Finally, test finished on elevator model proves the rationality and practical value of the distributed architecture as well as the intelligent scoring algorithm.
  • Keywords
    distributed processing; fuzzy set theory; lifts; neural nets; reduced instruction set computing; ARM chip; ARM embedded hardware platform; distributed elevator group control; fuzzy neural network; intelligent scoring algorithm; Algorithm design and analysis; Artificial neural networks; Control systems; Elevators; Floors; Fuzzy control; Fuzzy neural networks; Distributed Architecture; Elevator Group Control; Fuzzy Neural Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5574010