摘要
在直驱多轿厢电梯运行中,乘客客流交通模式是影响电梯系统运行性能的一个重要因素。为了提高系统的服务标准,制定合理的群控调度策略,实现系统的优化调度,设计了基于目的层预约的直驱多轿厢电梯群控系统。在乘客客流交通信息提前预知的情况下,利用模糊逻辑控制,通过建立隶属度函数、模糊规则等步骤对多轿厢电梯系统的客流交通模式进行识别。最后,通过应用实例将模糊控制与BP神经网络算法进行对比,结果表明,在试验样本有限的条件下,基于目的层预约的直驱多轿厢电梯群控系统中采用模糊逻辑控制可以更加方便、准确地识别不同的客流交通类型,这为系统进一步的优化调度奠定了基础。
In the direct-drive muhi-car elevator woking process, passenger traffic mode is an important factor af- tecting the performance of the elevator system. In order to improve the service standards of the system, a rea- sonable strategy of group control scheduling was formulated to realize the optimal scheduling of the system. A direct-drive multi-car elevator group control system based on destination reservation was designed. In the case of predicting passenger traffic information in advance, the fuzzy logic control was used to identify the passenger traffic of the multi-car elevator system by establishing membership function and fuzzy rules. Finally, the fuzzy control was compared with the BP neural network algorithm by application examples. The analysis showed that, in the direct-drive multi-car elevator group control system based on destination reservation, the fuzzy logical control was much more convenient and accurate to identify the ditterent types of passenger traffics under the limited experimental samples,which layed a toundation tor further optimal scheduling of the system.
作者
汪旭东
孙伟翔
许孝卓
封海潮
WANG Xudong;SUN Weixiang;XU Xiaozhuo;FENG Haichao(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan,China)
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2019年第1期106-111,共6页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(U1504506)
河南省科技攻关项目(162102210222)
河南省优秀创新型科技团队计划项目(2015005)
河南理工大学骨干教师计划项目(GGJS2016-183)
焦作市重大科技专项项目(2016001)
河南省产学研合作项目(142107000031)
关键词
直驱多轿厢电梯群控系统
目的层预约
模糊逻辑控制
客流交通
模式识别
direct-drive multi-car elevator group control system
destination floor reservation
fuzzy logic control
passenger flow traffic
pattern recognition
