Study On Elevator Group Control Based On Ant Colony Optimization

Elevator as a necessary means of transportation in high-rise buildings,its control methods from independent elevator control,parallel elevator control,multi-elevator joint control,to the current intelligent elevator group control system.It can be said that in order to meet the passenger requirements for the efficiency,energy saving and comfort of the elevator system,the elevator control system is developing continuously.How to improve the elevator service quality in all aspects while taking into account the energy consumption is the core content of elevator control research.Taking the elevator operation efficiency as the core and considering the energy consumption and passenger comfort,this paper designs an elevator group control system based on ant colony algorithm optimization.In terms of the theoretical algorithm,through the analysis of the elevator passenger flow,the pattern recognition of different traffic modes is carried out,and the elevator passenger flow model is simulated using the passenger call elevator is a poisson process,as the input data of group control.Based on the analysis of the characteristics of the elevator group control system,the reservation elevator group control calling mode of the target floor is applied,and the fuzzy controller based on ant colony algorithm optimization is designed and applied to the elevator group control system.The algorithm simulation software based on Matlab was developed,and the control effect before and after algorithm optimization was compared with the simulation experiment.The results show that the average waiting time of passengers optimized by the ant colony algorithm is lower than that of the control algorithm not optimized by the ant colony algorithm,indicating that the control algorithm optimized by the ant colony algorithm has a good control effect.At the same time,according to the actual situation,the elevator group control controller based on STM32F4 series DSP chip and the destination floor appointment call panel are designed to provide the media for the application of the algorithm to the actual scene.