计算机与数字工程2017，Vol.45Issue(9)：1759-1764,6.DOI:10.3969/j.issn.1672-9722.2017.09.015
四层结构的模糊神经网络电梯群控算法研究及程序实现
Elevator Group Control Algorithm Research and Control Program Implementation Based on Fuzzy Neural Network with Four-layer Structure
摘要
Abstract
In order to improve passenger carrying efficiency of the elevator group control system,reduce system energy con?sumption and improve the stability of the operation,a four-layer neural network algorithm based on the algorithm principle of tradi?tional fuzzy neural network is designed. The implementation includes determining four fuzzy neural network structure,defining the fuzzy rules,calculating the membership value,deriving the membership function and presenting the results through Matlab pro?gram. Finally,elevator control program is designed through the structured programming method in PLC and a variable response of the closed-loop programming method is proposed.关键词
电梯群控/模糊控制/四层神经网络/Matlab建模仿真检验Key words
elevator group control/fuzzy control/four-layer neural network/Matlab modeling and simulation分类
信息技术与安全科学引用本文复制引用
许英杰,潘廷哲,胡志男,黄景山..四层结构的模糊神经网络电梯群控算法研究及程序实现[J].计算机与数字工程,2017,45(9):1759-1764,6.基金项目
青年科学基金项目"发展适用于肿瘤细胞实时快速拉曼成像的光谱信号处理方法"(编号:21503171)资助. （编号:21503171）
