Intelligent Elevator Control By Ordinal Structure Fuzzy Logic Algorithm

With the advancement of intelligent computerised buildings in recent years, there has been strong demands for intelligent elevator control with more sophistication and diverse functions. The design criteria of an intelligent elevator control system would include optimising the movement of a group of elevators with respect to time, energy, load, etc. In this paper, a new elevator group supervisory control system based on the ordinal structure fuzzy logic algorithm is proposed. The system determines the optimum car to answer a hall call using the knowledge and experiential rules of experts. A software has been developed to simulate the traffic flow of three elevator cars in a 15-floor building. The software simulates the movements of the cars as found in practical elevator systems. It can be verified through simulation that the new system can bring about considerable improvements in the average waiting time, riding time, etc. in comparison with conventional methods.