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
fDate :
6/1/1995 12:00:00 AM
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;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on