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分层网络控制系统的分布式H控制

谢蓉华 樊卫华 陈庆伟

谢蓉华, 樊卫华, 陈庆伟等 . 分层网络控制系统的分布式H∞控制[J]. 北京航空航天大学学报, 2017, 43(12): 2392-2399. doi: 10.13700/j.bh.1001-5965.2016.0931
引用本文: 谢蓉华, 樊卫华, 陈庆伟等 . 分层网络控制系统的分布式H控制[J]. 北京航空航天大学学报, 2017, 43(12): 2392-2399. doi: 10.13700/j.bh.1001-5965.2016.0931
XIE Ronghua, FAN Weihua, CHEN Qingweiet al. Distributed H∞ control for hierarchical networked control system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2392-2399. doi: 10.13700/j.bh.1001-5965.2016.0931(in Chinese)
Citation: XIE Ronghua, FAN Weihua, CHEN Qingweiet al. Distributed H control for hierarchical networked control system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2392-2399. doi: 10.13700/j.bh.1001-5965.2016.0931(in Chinese)

分层网络控制系统的分布式H控制

doi: 10.13700/j.bh.1001-5965.2016.0931
基金项目: 

国家自然科学基金 61673219

江苏省高校优秀中青年教师和校长境外研修项目 

江苏省前瞻性联合研究项目 BY2016004-07

江苏省“六大人才高峰”项目 XNYQC-CXTD-001

天津市科技重大专项与工程项目 15ZXZNGX00250

详细信息
    作者简介:

    谢蓉华 女, 博士研究生, 讲师。主要研究方向:网络控制系统

    樊卫华 男, 博士, 副教授。主要研究方向:网络控制系统

    陈庆伟 男, 博士, 教授, 博士生导师。主要研究方向:智能控制与智能系统, 网络控制系统

    通讯作者:

    樊卫华, E-mail: fanweihua@njust.edu.cn

  • 中图分类号: V249.122;TP273+.5

Distributed H control for hierarchical networked control system

Funds: 

National Natural Science Foundation of China 61673219

Jiangsu Overseas Research & Training Program for University Prominent Young & Middle-aged Teachers and Presidents 

Jiangsu Foresight Joint Research Project BY2016004-07

Jiangsu Six Talents Peaks Project of Province under Grant XNYQC-CXTD-001

Tianjin Major Projects of Science and Technology under Grant 15ZXZNGX00250

More Information
  • 摘要:

    针对在现代工业、航空航天等领域具有广泛应用的分层网络控制系统无法采用集中控制方式的问题,研究了分层网络控制系统的分布式H控制。首先,考虑网络诱导时延、数据包丢失和全局信息不可全部获取的情形,提出了分层网络控制系统的分布式控制策略,并将网络控制系统建模为具有分布式时变时延的离散切换系统。其次,基于Lyapunov-Krasovskii函数法,给出了系统稳定且满足给定H性能要求的充分条件,该条件依赖于时延上界信息并具有较弱的保守性。利用锥补线性化方法,将控制器设计转化为具有线性矩阵不等式形式的优化问题,给出了控制器设计的迭代算法。最后,利用仿真算例,验证了所提方法的有效性。

     

  • 图 1  分层网络控制系统结构

    Figure 1.  Structure of hierarchical networked control system

    图 2  网络化伺服系统结构

    Figure 2.  Structure of networked servo system

    图 3  网络诱导时延值

    Figure 3.  Values of network induced delayes

    图 4  系统状态响应曲线

    Figure 4.  State response curves

    图 5  系统输出响应曲线

    Figure 5.  Output response curves

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出版历程
  • 收稿日期:  2016-12-09
  • 录用日期:  2017-03-10
  • 刊出日期:  2017-12-20

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