基于模糊神经网络的SZ绞合成缆机现场总线控制系统

在对SZ绞合成缆机设备组成简介的基础上,设计了基于模糊神经网络的SZ绞合成缆机现场总线控制系统.该控制系统采用三层网络结构即管理层、控制层和设备层来完成对SZ绞合成缆机的控制.对光纤放线装置的控制采用模糊神经网络控制算法,较好地适应了负荷和外部扰动的变化,获得了满意的控制质量.系统采用WinCC工控软件实现复杂友好的图形界面,用Matlab完成模糊神经网络控制算法的计算任务.该系统已运行一年多,效益良好.

SZ Stranding Machine Field Bus Control System Based on Fuzzy Neural Network

After brief introduction of equipments of SZ stranding machine for optical fibers,this paper designs SZ stranding machine field bus control system based on fuzzy neural network.The system control architecture is divided into three layers,namely,management,control and equipment.The fuzzy neural network is used here to control the reeling system of optical fiber,hence the system can adapt itself more better to the variations in load and external interference,which can gain a satisfied control quality.In the system,WinCC application implements friendly user interface and Matlab application implements fuzzy neural network control algorithm.The system has been running for over one year with good efficency.