摘要
研究电梯节能调度优化的问题,电梯群控节能优化系统(ECCS)是指多台电梯集中排列,共有厅外召唤按钮,按规定程序集中调度和控制的复杂的多目标优化系统。节能优化是为了有效的降低乘客的乘梯、候梯时间以及降低电梯群控系统的能耗。目前EGCS的问题的难点主要表现为现有的算法的控制参数多、计算较复杂,电梯的节能优化效果不够理想。针对以上问题,提出了采用人工蜂群算法的电梯群控系统。首先在外部呼梯信息产生时,控制器根据每部电梯轿厢所在的当前位置将产生的可行解视为蜜源,建立多约束的多目标数学优化模型。通过实时动态的进行优化排序,降低了算法的复杂程度,提升了控制器的反应速度。实验结果显示,上述算法可以有效地对电梯群控系统进行节能优化。
An elevator group control system based on artificial bee colony algorithm is proposed. First, a series of potentially feasible solutions are generated by a controller according to the current position of each elevator car,when the elevator - calling information from outside arises. Then, a constrained multi - objective optimization mathematical model was established. Through real -time dynamic optimization sorting, the complexity of the algorithm was reduced to enhance the speed of response of the controller. The experiment results show that the aforesaid algorithm enables the elevator group control system to save energy and optimize scheduling effectively.
出处
《计算机仿真》
北大核心
2017年第2期375-379,共5页
Computer Simulation
基金
国家自然科学基金资助项目(51075291)
关键词
电梯群控
多目标优化
人工蜂群算法
Elevator group control （EGC）
Multi -objective optimization
Artificial bee colony algorithm
