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

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.