Multi-car elevator group supervisory control system using Genetic Network Programming
Multi-car elevator group supervisory control system using Genetic Network Programming
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DOI：
10.1109/cec.2009.4983212
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发表时间：
2009-05
期刊：
影响因子：
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通讯作者：
Lu Yu;S. Mabu;Tiantian Zhang;S. Eto;K. Hirasawa
中科院分区：
文献类型：
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作者：
Lu Yu;S. Mabu;Tiantian Zhang;S. Eto;K. Hirasawa
电梯群控系统是建筑物中用于处理乘客的运输系统。随着高层建筑需求的增加，多轿厢电梯系统（Multi-Car Elevator System，MCES）作为下一代新型电梯系统正引起人们的关注，其中，两个汽车在电梯井道中分开且独立地运行。遗传网络编程（GNP）是一种进化计算方法，由于其个体的有向图结构，可以实现基于规则的MCES，使系统具有更大的灵活性。本文以30层的高层建筑为例，讨论了基于GNP的MCES。对MCES的性能进行了研究，并与双层电梯系统（DDES）进行了比较。
Elevator group control systems are the transportation systems for handling passengers in the buildings. With the increasing demand for high-rise buildings, Multi-Car Elevator System(MCES) where two cars operate separately and independently in an elevator shaft are attracting attention as the next novel elevator system. Genetic Network Programming(GNP), one of the evolutionary computations, can realize a rule based MCES due to its directed graph structure of the individual, which makes the system more flexible. This paper discusses MCES using GNP for the buildings with 30 floors. The performance of MCES are examined and compared with Double-Deck Elevator System(DDES).