[1]张捷,薄煜明,吕明,等.基于神经网络预测的网络控制系统故障检测[J].南京理工大学学报(自然科学版),2010,(01):19-23.
 ZHANG Jie,BO Yu-ming,Lü Ming.Fault Detection of Networked Control Systems Based on Neural Network Prediction[J].Journal of Nanjing University of Science and Technology,2010,(01):19-23.
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基于神经网络预测的网络控制系统故障检测
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2010年01期
页码:
19-23
栏目:
出版日期:
2010-02-28

文章信息/Info

Title:
Fault Detection of Networked Control Systems Based on Neural Network Prediction
作者:
张捷;薄煜明;吕明;
南京理工大学自动化学院
Author(s):
ZHANG Jie1BO Yu-ming1Lü Ming2
1.School of Automation,NUST,Nanjing 210094,China;2.Center of Product Research andDevelopment,Nanjing North Information Industry Group Ltd.,Nanjing 211153,China
关键词:
网络控制系统 故障检测 输出时延 神经网络预测 观测器
Keywords:
networked control systems fault detection output delay neural network prediction observers
分类号:
TP273
摘要:
考虑一类长时延网络控制系统,假定其存在输出时延,对其进行故障检测。通过对网络控制系统时延采样值进行神经网络预测,使之成为无延迟的控制系统。在此基础上,建立了基于神经网络预测的故障观测器误差方程,并证明了该观测器稳定的条件。当系统正常时,只要给定的不等式条件成立,该观测器系统就是稳定的。当系统发生故障时,观测器残差能够迅速发生跳变,从而检测出故障的发生。最后通过仿真示例说明该文方法能够较好预测网络时延,发现系统故障。
Abstract:
Considering a class of networked control system with long time delays,and assuming that the system has output delays,the fault detection is carried out.Neural network prediction for the delay sampling value of the network control system make the control system with long time delays a control system without delay.The error equation of the fault observer is constructed based on a neural network prediction.The stability condition of this observer is proved.When the system is normal and the given inequality condition is satisfied,the observer system is stable.When a fault occurs,the observer residue can change rapidly and detect the occurrence of the fault.Finally,an illustrative example is given to demonstrate that the method here can well predict the network-induced delay time and detect fault of the network control system.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 张捷( 1979- ), 男, 博士生, 助理研究员, 主要研究方向: 网络控制, E-m a i:l zhangjie_n just@ 163. com; 通 讯作者: 薄煜明( 1965- ), 男, 研究员, 博士生导师, 主要研究方向: 火力控制、网络控制等, E-ma il: 13905178063@ 172. com。
更新日期/Last Update: 2012-11-02