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Research On Optimization Algorithm Of Elevator Group Linkage

Posted on:2018-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:M ShiFull Text:PDF
GTID:2322330533955750Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Elevator Group Linkage Control System is an intelligent control system for vertical traffic of high-rise buildings,so people gradually increase the demands for elevator group linkage system with the increase in the number of high-rise buildings and the improvement of various resources utilization.In addition to improving the hardware configuration of the elevator group,it is also an important aspect to optimizate the scheduling control algorithm for the elevator group.Therefore,this paper analyzes how to optimize the control algorithm of elevator group.Firstly,this paper studies the development process and the development status of elevator group linkage control system at home and abroad,summarizes several common intelligent control algorithms and analyzes the advantages and disadvantages of various algorithms through learning the process.Based on the multi-objective and diversified characteristics of the elevator group,it establishes a variety of performance evaluation indexes of elevator group control system,and then finds out scheduling problem of elevator group under different traffic modes and proposes several elevator dispatching methods to deal with different traffic modes by conducting statistical analyses on passenger traffic focuses on the office building.Secondly,the thesis establishes the mathematical model of the elevator group linkage system,determines optimization control targets of the elevator group,cayyies out the design and the simulation for different passenger flow models in the Matlab simulation environment and then goes on the algorithm design and simulation comparison of the elevator group linkage control system by using the shortest ladder time algorithm,the improved adaptive particle swarm optimization algorithm and the hybrid particle swarm algorithm.The simulation's results show that the two improved particle swarm algorithms have better control effect on average waiting ladder time and average taking ladder time,verifiey the validity of the algorithms and realize the optimal scheduling control of the elevator group linkage system under different traffic modes.Finally,it designs two different elevator group linkage simulation system:traditional elevator group simulation and elevator group simulation of the targetbooking type in Delphi 6.0 programming environment.The traditional simulation system calls the shortest waiting ladder time algorithm for car scheduling optimization,and the target booking type system calls three different optimization algorithms mentioned in this paper.Analyzed the obtained data of average waiting ladder time,average taking ladder time and car's cumulative running floor by using different algorithms,the results show that the three optimization algorithms have better control effect on the group control scheduling problem and further validate the practicability of the algorithm.
Keywords/Search Tags:Elevator group linkage control system, Passenger modes, Scheduling control, Particle swarm optimization algorithm
PDF Full Text Request
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