[1]李健勇,赵峰,丁青青.基于模型参考自适应的网络控制系统随机时延补偿[J].郑州大学学报(工学版),2015,36(04):6-9.[doi:10.3969/ j. issn.1671 -6833.2015.04.002]
　Ll Jian-yong,ZHAO Feng,DING Qing-qing.Stochastic Delay Compensation of Networked Control Systems Based onModel Reference Adaptive Control Method[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):6-9.[doi:10.3969/ j. issn.1671 -6833.2015.04.002]
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基于模型参考自适应的网络控制系统随机时延补偿()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年04期
页码:
6-9
栏目:
出版日期:
2015-08-31

文章信息/Info

Title:
Stochastic Delay Compensation of Networked Control Systems Based onModel Reference Adaptive Control Method
作者:
李健勇; 赵峰; 丁青青
1.郑州轻工业学院计算机与通信工程学院，河南郑州450001; 2.郑州大学电气工程学院，河南郑州450001 ;3.清华大学电机与应用电子技术系，北京100084
Author(s):
Ll Jian-yong1; ZHAO Feng2; DING Qing-qing1
1.School of Computer& Communication Engineering , Zhengzhou University of Light Industry ， Zhengzhou 450001 , China; 2.School of Electrical Engineering, Zhengzhou University , Zhengzhou 450001 , China ; 3. Department of Electrical Engineering,T-inghua University ，Beijing 100084 , China
关键词:
网络控制系统; 模型参考自适应控制; 随机时延补偿; Smith预估器
Keywords:
networked control system;  model reference adaptive control; stochastic delay compensation; Smith predictor
分类号:
TQ203.2
DOI:
10.3969/ j. issn.1671 -6833.2015.04.002
文献标志码:
A
摘要:
随机时延和数据丢包造成网络控制系统性能下降甚至使得系统不稳定.为了提高网络控制系统的动态性能,提出一种基于模型参考自适应控制的双端Smith预估随机时延补偿控制策略.首先,通过在控制器端和执行器端分别引入Smith预估器,将随机时延补偿控制问题转换为模型匹配问题.然后,设计模型参考自适应控制器使Smith预估模型和真实模型相匹配,实现对随机时延的完全补偿.仿真结果表明,提出的控制策略能够对网络时延进行有效补偿,且具有良好的实时性.
Abstract:
Stochastic delay and packet loss decline the performance of networked systems and even make it un-stable. This paper proposed a novel stochastic delay compensation strategy based on model reference adaptivecontrol and dual Smith predictor. First,by introducing a joined Smith predictor at the controller and actuatorterminal end , the stochastic delay compensation problem is transformed to the model matching problem. Then,a model reference adaptive controlled is designed to make the Smith predictor model and the real system modelmatch with each other and to achieve the full compensation of random delay. The simulation results show thatthe proposed strategy can effectively compensate the network delay and has better real-time property.

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