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
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;
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
DOI :
10.1109/ICCAS.2008.4694668