| 引用本文: | 贾立,施继平,程大帅,邱铭森.间歇生产过程的R调节学习控制[J].控制理论与应用,2011,28(9):1159~1162.[点击复制] |
| JIA Li,SHI Ji-ping,CHENG Da-shuai,QIU Ming-Sen.R-adjustable learning control for batch process[J].Control Theory and Technology,2011,28(9):1159~1162.[点击复制] |
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| 间歇生产过程的R调节学习控制 |
| R-adjustable learning control for batch process |
| 摘要点击 2406 全文点击 1471 投稿时间：2010-05-05 修订日期：2011-03-09 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.9.PCTA100497 |
| 2011,28(9):1159-1162 |
| 中文关键词 间歇过程 迭代学习 零跟踪 有界跟踪 |
| 英文关键词 batch process iterative learning zero-tracking bounded-tracking |
| 基金项目 国家自然科学基金资助项目(61004019); 上海市科委地方高校专项基金资助项目(08160512100); 上海市基础研究重点资助项目(09JC1406300); 教育部博士点基金资助项目(20093108120013); 上海市教育委员会科研创新资助项目(09YZ08); 上海大学“十一五”211建设资助项目. |
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| 中文摘要 |
| 针对间歇生产过程迭代学习控制难以进行跟踪性能分析的难题, 本文提出一种变R调节迭代学习控制算法, 借鉴经典控制理论定义有界跟踪和零跟踪概念. 以此研究能够让系统输出误差达到零跟踪的迭代学习控制策略, 并严格地证明了算法的性能, 得出可以通过调节权值R使过程产品质量的误差收敛到与模型精度相关联的有界区域的结论, 为相关理论结果实施于实际间歇过程提供了理论依据. |
| 英文摘要 |
| To track the operation performance of a batch process under iterative learning control, we propose an R-adjustment control strategy. The definitions of zero-tracking error and bounded-tracking error are given according to classical control theory. We investigate the iterative learning control strategy for achieving zero-tracking error in the output, and rigorously prove the tracking ability of the system under control. The most important conclusion is that the zero-tracking error can be achieved by the R-adjustment control strategy, which provides the basis for practical applications. |