引用本文:王艳,纪志成.无线网络化系统自适应能量调度与协同控制[J].控制理论与应用,2011,28(10):1356~1362.[点击复制]
WANG Yan,JI Zhi-cheng.Adaptive energy scheduling and cooperative control for wireless networked control system[J].Control Theory and Technology,2011,28(10):1356~1362.[点击复制]
无线网络化系统自适应能量调度与协同控制
Adaptive energy scheduling and cooperative control for wireless networked control system
摘要点击 2215  全文点击 1674  投稿时间：2010-06-09  修订日期：2010-10-20
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DOI编号  10.7641/j.issn.1000-8152.2011.10.CCTA100684
  2011,28(10):1356-1362
中文关键词  无线网络化系统  自适应采样  能量  调度  切换系统  协同控制
英文关键词  wireless networked control system  adaptive sampling  energy  scheduling  switched system  cooperative control
基金项目  教育部新教师基金资助项目(200802951032); 中国博士后基金特别资助项目(200902504); 江苏省博士后基金资助项目(0801001B).
作者单位E-mail
王艳* 江南大学 电气自动化研究所 wangyan_sytu@126.com 
纪志成 江南大学 电气自动化研究所  
中文摘要
      无线网络化系统(wireless networked control system, WNCS)中节点能量受限是影响系统性能的重要因素. 本文提出了一种自适应能量调度方法解决节点能量与控制需求间的矛盾, 在采样周期与能量消耗之间关系的基础上, 利用动态采样周期实现能耗的实时调节, 满足节点生存时间的需求. 进而, 将自适应采样的WNCS建模为一类具有短暂不确定切换信号的离散切换系统, 采用切换状态反馈控制律, 利用切换系统理论分析了系统的稳定性, 给出了系统渐近稳定时控制器增益与滞留时间需要满足的约束条件. 最后在Truetime1.5和MATLAB仿真平台上验证了文中提出的方法和结论.
英文摘要
      The limited amount of energy in nodes is a critical factor affecting the system performance in wireless networked control systems(WNCS). An adaptive energy scheduling method is proposed to compromise the energy conservation for the nodes and the energy consumption in the control. Based on the relation between the sampling period and the energy consumption, the energy consumption rates are adjusted online to satisfy the requirements of the node-span by employing dynamical sampling periods. Then, the adaptive sampling WNCS is modeled as a discrete switched system with a temporarily uncertain switching signal. For the system incorporated with the feedback of switched states, the stability is analyzed by using the switched system theory, and the constraints on the controller gains and residence time for the asymptotical stability of the system are derived accordingly. A numerical example validates the proposed approach on Truetime1.5 and MATLAB platforms.