计算机工程与应用Issue(18)：90-93,208,5.DOI:10.3778/j.issn.1002-8331.1309-0277
基于自适应模糊神经网络控制器的网络控制系统
Network control system based on adaptive fuzzy neural network controller
孟劦 1胡亚洲 2陈晓2
作者信息
- 1. 南京大学 工程管理学院，南京 210008
- 2. 西北工业大学 自动化学院，西安 710129
- 折叠
摘要
Abstract
Time delay, loss of the data packet and disturbance exist in the network control system. For solving this prob-lem, a new network system based on adaptive fuzzy neural network controller is proposed. According to the error of the system between the actual output and the predicted output, this controller can be adjusted to conform to the requirements of the system by the principle of adaptive fuzzy control and self-learning of neural network control. And the main factors influencing the performance of this system, including time delay, loss rate of data packets and disturbance, are analyzed. A simulation model is established by the TrueTime toolbox with adaptive fuzzy neural network controller for network con-trol system. Compared with the conventional PID controller and PID controller based on fuzzy control, the experimental results show that under the same network environment, adaptive fuzzy neural network controller has the better effect than the conventional PID controller and PID controller based on fuzzy control. Most importantly, the controller designed has better anti-jamming capability and robust performance.关键词
网络控制系统/自适应模糊神经网络控制/比例积分微分(PID)控制器/TrueTimeKey words
network control system/adaptive fuzzy neural network control/Proportion Integration Differentiation(PID) controller/TrueTime分类
信息技术与安全科学引用本文复制引用
孟劦,胡亚洲,陈晓..基于自适应模糊神经网络控制器的网络控制系统[J].计算机工程与应用,2015,(18):90-93,208,5.
