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网络控制系统中一种新形式的开闭环迭代学习控制 被引量：4

Novel open-closed-loop iterative learning control in networked control systems
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摘要 本文研究了网络控制系统中迭代学习控制方法,借鉴网络控制系统的分层结构形式,提出了一种远程开环本地闭环的迭代学习控制形式.这种形式的学习律中,只有开环学习律的离散数据通过网络传输,对控制系统进行前馈补偿同时降低了网络丢包对系统的实时影响.针对线性系统,利用2–D系统的分析方法,给出了网络控制中开闭环迭代学习控制的收敛性判别条件.仿真和实验结果证实了所提方法的可行性和有效性. Inspired by the hierarchical structure of networked control systems （NCSs）, we propose a novel open-closed- loop iterative learning control （ILC） method for NCSs. In this method, only the off-line data are transmitted over the network, thus the side effects of the time-delay in network transmission have been reduced. The criterion of convergence is derived with the analytical methods of 2-D system for linear system. Simulation and experiment results show the feasibility and effectiveness of the proposed method.
作者 赵众 高颖 刘志立
机构地区 北京化工大学信息科学与技术学院
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2013年第10期1335-1341,共7页 Control Theory & Applications
基金 国家自然科学基金资助项目(60974064)
关键词 迭代学习控制 网络控制系统 开闭环 2-D系统 iterative learning control networked control systems open-closed-loop 2-D system
分类号 TP13 [自动化与计算机技术—控制理论与控制工程]
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参考文献24

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二级参考文献41

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共引文献14

同被引文献28

引证文献4

二级引证文献15

控制理论与应用
2013年 第10期

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