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] |
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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 1972 全文点击 1514 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). |
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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. |