The Application of the Fuzzy Neural Network Control in Elevator Intelligent Scheduling Simulation

摘要：

Because of the diversity of target about the elevator group control system and inherent randomness and nonlinear of the elevator system, so it is very difficult to improve the performance of the elevator control system through the traditional control methods. In the elevator group control system it is feasible that the system coordinate the operation of multiple elevators by use of the fuzzy BP neural network and the optimized control strategy, which can increase the transport efficiency and service quality. This paper has set up the gauss member function of customers waiting elevator satisfactory and customers riding elevator satisfactory and customers energy compulsions satisfactory, construct the model of the fuzzy BP neural network through the intelligent scheduling characteristics of the elevator. The different weights have been given through the different patterns of the running elevator and the simulations of the elevator intelligent dispatching has been achieved.

关键词： the fuzzy BP neural network elevator group control system weights

作者: Yine Zhang Yun Yi Jian Zhong

作者单位: School of Mathematical and Computer Science GanNan Normal University Ganzhou, 341000, China Modern Education Technology Center GanNan Normal University Ganzhou, 341000, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 512-516

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）