引用本文:李文杰,张正强.非线性时滞系统基于降阶观测器的反步镇定控制[J].控制理论与应用,2022,39(8):1433~1441.[点击复制]
LI Wen-jie,ZHANG Zheng-qiang.Reduced-order observer-based backstepping stabilization control for nonlinear time-delay systems[J].Control Theory and Technology,2022,39(8):1433~1441.[点击复制]
非线性时滞系统基于降阶观测器的反步镇定控制
Reduced-order observer-based backstepping stabilization control for nonlinear time-delay systems
摘要点击 3363  全文点击 379  投稿时间:2021-09-15  修订日期:2022-08-31
查看全文  查看/发表评论  下载PDF阅读器
DOI编号  10.7641/CTA.2021.10872
  2022,39(8):1433-1441
中文关键词  时滞系统  输出反馈控制  降阶观测器  静态增益函数  渐近稳定
英文关键词  time-delay system  output feedback control  reduced-order observer  static gain function  asymptotic stability
基金项目  国家自然科学基金项目(61873330), 山东省泰山学者项目, 山东省中央引导地方科技发展资金项目(YDZX20203700001633), 山东省自然科 学基金重大基础研究项目(ZR2021ZD13)资助.
作者单位邮编
李文杰 曲阜师范大学 276826
张正强* 曲阜师范大学 276826
中文摘要
      针对一类状态未知的非线性严格反馈时滞系统, 本文提出了一种基于静态增益函数的输出反馈控制方案. 首先构造了降阶观测器以估计非线性系统的未知状态. 然后在Backstepping设计的每一步定义了具有控制增益函数 的新型Lyapunov-Krasovskii泛函以补偿未知时变时滞, 定义新的选择不唯一的连续控制增益函数以补偿非匹配项 以及Lyapunov-Krasovskii泛函补偿时滞时产生的非负项. 提出了一种无记忆输出反馈控制方案. 理论分析表明: 该 控制方案消除了未知时滞的影响, 保证了闭环系统所有信号的有界性, 并使系统实现渐近稳定. 最后仿真结果验证 了此控制方案的有效性.
英文摘要
      For a class of nonlinear strict-feedback time-delay systems with unknown system states, this paper proposes an output feedback control scheme based on a novel static gain function. Firstly, a reduced-order observer is constructed to estimate the unmeasured states of the nonlinear time-delay system. Then, a new Lyapunov-Krasovskii functional with an explicit control gain expression is defined in each step of the backstepping design process to compensate for the unknown time-varying delays, novel continuous control gain functions are defined to compensate for unmatched terms and the nonnegative terms that are generated when the Lyapunov-Krasovskii function compensates for time delays. A memoryless output feedback control scheme is proposed. It shows that the control scheme eliminates the influence of unknown time delay, ensures the boundedness of all signals of the closed-loop system, and makes the system asymptotically stable. Finally, simulation results verify the effectiveness of the control scheme.