Elevator Group Control Algorithm Research and Control Program Implementation Based on Fuzzy Neural Network with Four-layer Structure
XU Yingjie
PAN Tingzhe
HU Zhinan
HUANG Jingshan
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.
Keywords：elevator group controlfuzzy controlfour-layer neural networkMatlab modeling and simulation
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1759-1764 )