引用本文:陈超洋,桂卫华,关治洪,池明,周少武.多通道约束下的网络控制系统的最优跟踪性能[J].控制理论与应用,2017,34(9):1195~1200.[点击复制]
CHEN Chao-yang,GUI Wei-hua,GUAN Zhi-hong,CHI Ming,ZHOU Shao-wu.Optimal tracking performance of networked control systems under multi-constraints[J].Control Theory and Technology,2017,34(9):1195~1200.[点击复制]
多通道约束下的网络控制系统的最优跟踪性能
Optimal tracking performance of networked control systems under multi-constraints
摘要点击 2689  全文点击 1709  投稿时间:2016-04-06  修订日期:2017-05-27
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DOI编号  10.7641/CTA.2017.60194
  2017,34(9):1195-1200
中文关键词  多通道约束  加性高斯白噪声  跟踪性能  网络控制系统
英文关键词  multi-channel constraints  additive white Gaussian noise  tracking performance  networked control systems
基金项目  国家自然科学基金项目(61503133, 51374107, 51577057, 61672226), 国家重大基础研究计划(“973”计划)子项(61325309), 博士后基金(2016M 592449), 湖南省自然科学基金(2016JJ6043, 14JJ3110), 湖南省教育厅科研一般项目(15C0548)资助.
作者单位E-mail
陈超洋* 湖南科技大学 cychen@hnust.edu.cn 
桂卫华 中南大学  
关治洪 华中科技大学  
池明 华中科技大学  
周少武 湖南科技大学  
中文摘要
      本文针对双通道约束下的线性时不变网络控制系统的随机信号跟踪性能极限问题进行了研究. 网络通信 包含通信噪声和通信带宽两种信道因素. 被控系统考虑是非最小相位和不稳定系统, 并且系统包含多个不同的非最 小相位零点和多个不同的不稳定极点. 对上行通道和下行通道都存在通信带宽约束及高斯白噪声影响的情形, 从 频域角度, 通过采用双自由度控制器和尤拉参数化方法, 获得了此类网络控制系统的最优可达的跟踪性能. 研究结 果表明网络控制系统的跟踪性能极限完全由被控对象的结构特征(非最小相位零点、不稳定极点以及被控对象的系 统增益), 参考输入信号和网络特性(高斯白噪声的统计特征、通信信道带宽)所决定. 最后, 仿真结果检证了所得结 果的正确性.
英文摘要
      In this paper, the tracking performance limitations of linear time-invariant networked control systems (NCSs) with two-channel constraints for random reference signal is investigated. Network communication contains channel noise and communication bandwidth. The plant is considered as a minimum phase and unstable system, and the system has distinct multiple non-minimum phase zero and distinct multiple unstable pole. For the cases of up-link and down-link channel with limited bandwidth and additive white Gaussian noise (AWGN) effect, and the optimal tracking performance for networked control systems is obtained by adopting two-degree controllers and Youla-parametric method based on frequency domain. The results show that the optimal tracking performance depends on structural characteristics of the plant (such as the non-minimum phase zeros, unstable poles and gain at all frequencies of the given plant), reference input signal, network characteristics (communication bandwidth, the statistical characteristics of AWGN). Finally, a typical example is given to illustrate the theoretical results.