Robust Repetitive Control by Sampled-data H∞ Filters

被引：2
|
作者：
Nagahara, Masaaki [1 ]
Yamamoto, Yutaka [1 ]
机构：
[1] Kyoto Univ, Grad Sch Informat, Kyoto 6068501, Japan
来源：
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) | 2009年
关键词：
SYSTEMS;
D O I：
10.1109/CDC.2009.5400156
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this article, we study digital repetitive control to track continuous-time periodic references. Sampled-data control gives a very natural platform for studying digital repetitive control, and in particular, sampled-data H-infinity filtering is particularly suitable for this. The link is provided by introducing internal model control. This leads to a close connection between robust repetitive control and sampled-data H-infinity noise reduction, or regularization. With this connection, it becomes possible to employ a variety of filtering techniques, such as multirate filtering, for robust digital repetitive control. Design examples show the effectiveness of our method in robustness in digital repetitive control.
引用
收藏
页码：8136 / 8141
页数：6
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