• DocumentCode
    1621599
  • Title

    Self-tuning fuzzy-based dispatching strategy for elevator group control systems

  • Author

    Jamaludin, Jafferi ; Rahim, N.A. ; Wooi Ping, Hew

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur
  • fYear
    2008
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    Fuzzy logic is recognized as an intelligent approach to complex problems demanding fulfillment of several criteria. A smart solution for an elevator group control system is one complex problem. This paper discusses a fuzzy logic dispatching strategy for elevator group control that uses a self-tuning fuzzy logic controller to tune membership functions and adjust fuzzy rule sets. Computer simulation evaluates, in three traffic peaks, the strategypsilas effectiveness. The results, when compared with other strategies that use conventional controllers, show considerable overall improvements in both waiting time and riding time.
  • Keywords
    dispatching; fuzzy control; lifts; self-adjusting systems; elevator group control systems; fuzzy logic dispatching strategy; fuzzy rule sets; self-tuning fuzzy logic controller; self-tuning fuzzy-based dispatching strategy; Artificial intelligence; Artificial neural networks; Automatic control; Communication system traffic control; Control systems; Dispatching; Elevators; Fuzzy control; Fuzzy logic; Stochastic systems; Elevator group control; controllers; fuzzy logic; self-tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-9-3
  • Electronic_ISBN
    978-89-93215-01-4
  • Type

    conf

  • DOI
    10.1109/ICCAS.2008.4694668
  • Filename
    4694668