Supervisory Control for Elevator Group by Using Fuzzy Expert System

Abstract

the objective of the elevator group control system is to efficiently operate an elevator system composed of limited number of elevetor cars, and to assign an appropriate elevator car to an issued hall-call. There are several elevator group control systems such as minimum long-wait algorithm and area-based control algorithm. These algorithms are desingned to reduce service time(waiting time + traveling time)by decreasing waiting time. This article proposes a new algorithm called total fuzzy control algorithm, which focuses not only on waiting time but also on traveling time. In other words, this algorithm is designed for reducing traveling time in addition to waiting time reduction. The system proposed in this paper uses fuzzy expert system. That means the inference potion of the expert system uses fuzzy inferences. The study proceeds step-by-step beginning from fuzzy expert system without traveling time consideration and behavior of fuzzy control system is investigated, and then using this base the total fuzzy control system that includes the consideration of traveling time is constructed. Effectiveness of the total fuzzy control algorithm is thoroughly studied by computer simulation and the results show to give better service in some specific traffic conditions.