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

为提高电梯群控系统的载客效率,减少系统运行能耗,提高运行稳定性,在传统模糊神经网络算法的原理上,设计了基于电梯群控模糊规则的四层模糊神经网络算法,确定四层模糊神经网络结构,定义模糊规则,测算隶属数值,推导隶属度函数,并且基于Matlab提出算法检验方案,给出验证结果。最后采用结构化编程思路在PLC中实现控制程序,并提出可变响应闭环的程序实现方式。

In order to improve passenger carrying efficiency of the elevator group control system, reduce system energy consumption 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 program. 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.