Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Fuzzy approach to elevator group control system

  • Kim, Chang-Bum (Dept. of Computer Science, Korea Advaned Institute of Science and Technology) ;
  • Seong, Kyoung-A (Dept. of Computer Science, Korea Advaned Institute of Science and Technology) ;
  • Lee, Hyung-Kwang (Dept. of Computer Science, Korea Advaned Institute of Science and Technology) ;
  • Kim, Jeong-O (Changwon Laboratory, GoldStar Industrial Ststems, Co., LTD) ;
  • Lim, Yong-Bae (Changwon Laboratory, GoldStar Industrial Ststems, Co., LTD)
  • Published : 1993.06.01
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Abstract

The elevator group control systems are the control systems that manage systematically three or more elevators in order to efficiently transport the passingers. 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 paper proposes a fuzzy model based method to determine the are-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 the more desirable results than the conventional method in the simulations that use real traffic data.

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