基于模糊神经网络的电梯群控调度算法  

Elevator Group Control Scheduling Algorithm Based on Fuzzy Neural Network

作　　者：王学智[1] 林秀玲[2] WANG Xue-zhi;LIN Xiu-ling(Department of Electromechanical Engineering,Hubei Water Resources Technical College,Wuhan430070,China;Department of Electric and Electronic Engineering,Wuhan Institute of Shipbuilding Technology,Wuhan430070,China)

机构地区：[1]湖北水利水电职业技术学院机电工程系,湖北武汉430070 [2]武汉船舶职业技术学院建筑工程学院,湖北武汉430050

出　　处：《武汉职业技术学院学报》2019年第6期104-108,共5页Journal of Wuhan Polytechnic

摘　　要：为了提高电梯的运行效率,降低能耗,设计了一种基于模糊神经网络的电梯群控调度算法,算法利用模糊逻辑处理群控系统的输入数据,实现输入数据的归一化,利用神经网络的并行计算能力综合优化系统评价参数。采集了样本数据并对该算法进行了仿真测试,仿真结果验证了该算法的有效性。In order to improve the operating efficiency of elevators and reduce energy consumption, an elevator group control scheduling algorithm based on fuzzy neural network is designed. The algorithm uses fuzzy logic to process the input data of the group control system to achieve normalization of the input data and utilize neural networks. Using parallel computing capability of neural networks optimizes systematic evaluation parameters. Sample data are collected and the algorithm is tested by simulation. The simulation results verify the effectiveness of the algorithm.

关 键 词：电梯群控 模糊逻辑 神经网络 调度算法 激发函数 

分 类 号：G124[文化科学]