Research On Intelligent Elevator Group Control System Based On Fuzzy Control

With the progress of society and the improvement of economy,people’s life efficiency is also accelerated,and people’s requirements for elevators in the building are getting higher and higher.There are often multiple elevators in a building,and the coordinated control of these elevators is called elevator group control.How to improve the performance of elevator group control system has become the focus of research.Because of the many characteristics of elevator group control system,such as disturbance,nonlinearity,multi-objective and so on,it is difficult to realize system optimization by establishing accurate mathematical model,and fuzzy control technology has certain advantages in solving this kind of problems,so this study applies fuzzy control technology to elevator scheduling algorithm to improve the performance of elevator group control system.First of all,this paper briefly introduces elevator group control system,we understand the current situation and problems in the development,and analyze the necessity and feasibility of applying fuzzy control.Then the percentage of traffic composition and traffic intensity in the building are analyzed and used as input variables to establish a traffic pattern recognition rule base to identify the current traffic pattern and determine different weighting coefficients.Then,the comprehensive evaluation function of the system is constructed,which takes the average ride time,the average waiting time,the long-time waiting rate and the energy consumption of the system as the main evaluation factors,combined with the weighting coefficients under the above different traffic modes,the value of the comprehensive evaluation function is determined,which is used as the basis to distribute elevators,so as to achieve the purpose of system optimal control.In addition,this study also discussed and analyzed the evaluation indicators,established their own rule base,and carried out simulation experiments to analyze the relationship between input and evaluation indicators,so as to verify the correctness of the design.Finally,the simulation experiments of the above control algorithms are carried out on the MATLAB platform,and the simulation results are compared with the data results of the traditional centralized control algorithm under the same conditions,the evaluation indexes are improved to a certain extent,indicating that the research of the intelligent elevator group control system based on fuzzy control has achieved somesuccess and played a role in improving the performance of the system.