杨素英

个人信息Personal Information

副教授

硕士生导师

任职 : 电子信息与电气工程学部-控制学院-计算机控制研究所

性别:女

毕业院校:大连理工大学

学位:硕士

所在单位:控制科学与工程学院

办公地点:创新园大厦A711

联系方式:13478411035,rr319@dlut.edu.cn

电子邮箱:rr319@dlut.edu.cn

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Dispatching Approach Optimization of Elevator Group Control System with Destination Floor Guidance using Fuzzy Neural Network

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论文类型:会议论文

发表时间:2008-06-25

收录刊物:EI、CPCI-S、Scopus

页面范围:7085-7088

关键字:Destination floor guidance; Elevator group control system; Fuzzy Neural Network; Dispatching approach optimization

摘要:Aiming at the problem of uncertainty for information collection in traditional elevator group control system (EGCS), this study proposes a method about dispatching approach optimization for a new type of EGCS with destination floor guidance. The characteristic of destination floor guidance is information admixture of hall call registration and destination selection. EGCS with destination floor guidance can attain nearly complete and reliable information aggregation in advance to guide the passenger flow effectively. In order to realize the accurate prediction of input parameters, all of the hall call registrations are classified to four groups. Based on it, the optimized prediction algorithms of evaluation items are established, including the average waiting time of passengers (AWT), the average riding time of passengers (ART), rate of waiting long time of passengers (LWR), and riding power consumption (RPC). Especially, Fuzzy Neural Network (FNN) is applied to optimize multiple objectives for realizing reasonable dispatching approach. The simulated results show that the algorithm applied in the paper improves the evaluation items by 10% at least as compared with the traditional algorithm and it indicates an excellent application to enhance the holistic capability of EGCS.