Research on Elevator Group Control System Based on The Fuzzy Neural Network

摘要：

It is a complex optimization system to elevator group control system (EGCS) with multi-objective, stochastic and nonlinear characteristics. It is hard to describe EGCS with exact mathematic model and to increase the capability of the system with traditional control method. The fuzzy control technology and neural network technology are combined in this paper and a dispatching method applied to various passenger traffic conditions is proposed. The comprehensive evaluation function of traffic signal is established and the right heavy of every evaluation factor (waiting time, riding time, energy consume, crowd degree) is studied by the neural network, so the elevator is dispatched optimally. The result of simulation shows that this method realizes reasonable elevator dispatching under various passenger traffic conditions and indicates the validity of this method.

关键词： EGCS neural network passenger traffic condition simulation

作者: Yu Ai-rong Cao Lei He Yi-hui Yang Fei

作者单位: Operational Software StaffRoom PLA University of Science and Technology Nanjing, China Information Operations StaffRoom PLA University of Science and Technology Nanjing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 235-238

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）