The Research Of Elevator Intelligent Control System

This paper first has carried on the analysis to the present situation of elevator system, pointed out the insufficient of the present elevator control system which needs to improve. And the paper made designs and simulation confirmations to enhanced the performance of the single elevator speed control and multi-elevator running efficiency.The second and three chapters of the paper are to improve the single elevator speed control system. Through carried research onto the nowadays elevator speed control system ,the paper designed a speed control module to control the system which based on the elevator surplus distance speed control. The speed control strategy is that the system controls the speed of elevator according to surplus distance from the absolute value encoder and make use of PID arithmetic to adjust the speed according to the real-time speed feedback from rotary encoder, which makes two closed loop come true.Then the paper has designed the corresponding speed control module, carried on the simulation to prove that this module can enhance single elevator'movement performance.The fourth and fifth chapters of the paper are to improve the elevator group control system . This paper used fuzzy control technique in the elevator group control system. Firstly,the paper make the traffic components and the traffic intensity as the input variableness to acquire twelve traffic patterns through fuzzy reasoning.Then,the paper analyzes detailed traditional dispatching algorithm that is short of the veracity and the maturity etc, a more reasonable new evaluation function is built up. The weight average of the most important four evaluation targets, including low average waiting time(AWT), low average riding time(ART), low long-time waiting percent (LWP), low riding-power consume (RPC) act as the evaluation function. Finally, the paper established a simulator model of transportation based on Poisson distributing , made a simulation with dispatching algorithm of the fuzzy elevator group control. The simulation result of the fuzzy elevator group control system shows evident decrease on average waiting time, long-time waiting percent, riding-power consume and average riding time compared to traditional centralizing-select control system. It shows great superior and feasibility for fuzzy elevator group control system.