.png){kind=icon}
返回
An optimality-based repetitive control algorithm for discrete-time systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TCSI.2007.914005.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, we first demonstrate that the zeroth-order hold discretization of a class of well-known continuous-time repetitive control algorithms can result in instability. Having highlighted the potential problem that discretization can pose to controller structures of this form, a new optimality-based repetitive control algorithm is developed for discrete-time systems. Under mild technical conditions on the plant, the algorithm will result in asymptotic convergence for an arbitrary T-periodic reference signal and an arbitrary discrete-time linear time-invariant plant. The algorithm has been practically applied to a nonminimum phase spring-mass-damper system. It is shown that it is capable of producing near perfect tracking within a very small number of trials. The robustness of the controller is established for this plant in terms of the bounds on the uncertainty that will allow the system to satisfy the Nyquist stability criterion. A zero-phase filter is designed and implemented. Experimental results illustrate how long-term performance can be maintained using the proposed method.
Keyword:
experimental verification
optimal control
repetitive control
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.2
论文数:
9.7K
被引数:
2.2W
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容