Title :
Supervisory control for elevator group by using fuzzy expert system
Author :
Kaneko, M. ; Ishikawa, T. ; Sogawa, Y.
Author_Institution :
Fac. of Eng., Musashi Inst. of Technol., Tokyo, Japan
Abstract :
There are two algorithms in the conventional elevator group control system: the minimum long-wait algorithm and the area-based control algorithm. These algorithms are designed to reduce service time (waiting time+riding time) by decreasing waiting time. This article proposes a new elevator group control system which addresses riding time as well as waiting time. This algorithm is denoted, “total fuzzy control system”. Effectiveness of the total fuzzy control systems is thoroughly studied by computer simulation and the results show a better performance in wider traffic condition
Keywords :
control system analysis computing; digital simulation; expert systems; fuzzy control; lifts; area-based control algorithm; computer simulation; elevator group; fuzzy expert system; minimum long-wait algorithm; riding time; supervisory control; total fuzzy control system; waiting time; Control systems; Elevators; Floors; Flowcharts; Fuzzy control; Fuzzy systems; Hybrid intelligent systems; Production systems; Supervisory control; Weight control;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671079
