• DocumentCode
    778200
  • Title

    A fuzzy approach to elevator group control system

  • Author

    Chang Bum Kim ; Seong, Kyoung A. ; Lee-Kwang, Hyung ; Kim, Jeong O. ; Lim, Yong Bae

  • Volume
    25
  • Issue
    6
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    985
  • Lastpage
    990
  • Abstract
    The elevator group control systems are the control systems that manage systematically, three or more elevators in order to efficiently transport the passengers. In the elevator group control system, the area-weight which determines the load biases of elevators is a control parameter closely related to the system performance. This correspondence proposes a fuzzy model based method to determine the area weight. The proposed method uses a two-stage fuzzy inference model which is built by the study of area-weight properties and expert knowledge. The proposed method shows more desirable results than the conventional method in simulations that use real traffic data.<>
  • Keywords
    fuzzy control; inference mechanisms; lifts; area weight determination; efficient transportation; elevator group control system; expert knowledge; fuzzy model-based method; two-stage fuzzy inference model; Art; Character recognition; Control systems; Elevators; Fuzzy control; Fuzzy systems; Optical character recognition software; Pattern recognition; Shape; System performance;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.384263
  • Filename
    384263