引用本文:刘　山,吴铁军.基于稳定逆的非最小相位系统的迭代学习控制[J].控制理论与应用,2003,20(6):831~837.[点击复制]
LIU Shan,WU Tie-jun.Stable-inversion based iterative learning control for non-minimum phase plants[J].Control Theory and Technology,2003,20(6):831~837.[点击复制]
基于稳定逆的非最小相位系统的迭代学习控制
Stable-inversion based iterative learning control for non-minimum phase plants
摘要点击 1678  全文点击 1417  投稿时间：2002-06-03  修订日期：2002-12-12
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DOI编号  10.7641/j.issn.1000-8152.2003.6.004
  2003,20(6):831-837
中文关键词  迭代学习控制  非最小相位  非因果稳定逆  优化性能指标
英文关键词  iterative learning control  non-minimum phase  noncausal stable inversion  optimality criterion
基金项目  国家"863"高技术研究发展计划项目(2002AA412010); 国家自然科学基金项目(69874035).
作者单位E-mail
刘　山 浙江大学 工业控制技术国家重点实验室, 浙江 杭州 310027 sliu@iipc.zju.edu.cn 
吴铁军 浙江大学 智能系统与决策研究所, 浙江 杭州 310027  
中文摘要
      针对迭代学习控制在非最小相位系统上应用效果差的缺点,根据最优化性能指标和非因果的稳定逆理论,提出了一种基于稳定逆的最优开闭环综合迭代学习控制,分析了学习律的收敛性并给出了此种非因果的学习律在实际应用中的运用方式.
英文摘要
       In order to deal with the poor tracking effect which occurs when the iterative learning control (ILC) was applied to the non-minimum phase system, an optimal ILC scheme with current feedback was presented for linear non-minimum phase plants based on an optimality criterion and noncausal stable inversion. The convergence of this scheme was analyzed and the utility mode of using the noncausal algorithm was proposed for the practical application.