目的层预约与多智能体协调的电梯群控调度方法

摘要

To deal with the uncertainty of the elevator traffic flow and the destination of passengers, overcome the computing bottleneck existed in collective EGCS, an elevator group control scheduling method is proposed based on destination registration and multi-agent coordination. The EGCS was firstly designed and the multi-objective evaluation function of destination registration was demonstrated. Then, the online update of elevator traffic pattern recognition based on fuzzy logic was proposed, to update different traffic modes corresponding to the weights of the control objectives in real-time. At last, the elevator car and group controller can be mapped to different agents. The distributed elevator group control scheduling is to implement a multi-objective optimization by various agents, with a coordination of minimum average waiting time (AWT), average riding time (ART), congestion degree (CD) and energy consumption EC).%针对电梯群控调度过程中交通流和乘客目的楼层的不确定性,为克服集中式群控系统计算瓶颈问题,提出了基于目的层预约结合多智能体技术的电梯群控调度方法.首先,设计了该电梯群控调度系统的结构,分析了目的层预约的多目标评价函数；然后,提出基于模糊逻辑的电梯交通模式在线识别方案,实现实时地更新不同交通模式下对应的各控制目标的权系数；最后,结合多智能体技术具有良好的实时性和自主性的特点,将各轿厢运行控制器和群控制器映射为多个代理,通过各个代理之间协调多目标优化任务以得到平均候梯时间、平均乘梯时间及能源消耗整体最优的分布式电梯群控调度算法.