基于遗传算法的双子电梯群优化控制方法

An Optimized Control Method based on Genetic Algorithm in Double Car Elevator Control System

针对新型双子电梯群控系统多目标性、不确定性的特点,提出一种基于遗传算法的双子电梯群优化控制方法。在分析双子电梯结构特点的基础上,将双子电梯运行规则融入到多目标控制策略中,构造了适合双子电梯群的目标函数;运用遗传算法进行双子电梯群的优化控制仿真,并与最小候梯时间算法进行比较。研究结果表明,该方法能够适应双子电梯运行特点,并能适应不同交通流模式,与最小候梯时间算法比较,平均候梯时间、长候梯时间发生率和电梯停靠次数明显减小。

The paper presents a new double car elevator, and provides an optimized control method based on genetic algorithm in double car elevator group control system regarding the feature of muhi-objective and uncertainty. Based on the analysis of the construction features of double car elevators and by combining its operational rules into multi-objective control strategy, an objective function suitable for elevator group control is thus formed. Later, an optimized control simulation is carried out for double car elevator control with genetic algorithms method, and the result is compared with that obtained from the algorihthm for minimum waiting time. The study shows, the method suits to the operational features of double car elevator at different traffic flow modes; in comparison with the algoribthm for minimum waiting time, the average wating time, incidence of long waiting time and number of stops decrease significantly.