FEEDBACK-BASED ITERATIVE LEARNING CONTROLLER DESIGN USING THE ROBUST PERFORMANCE CONDITION OF UNCERTAIN FEEDBACK CONTROL SYSTEMS

被引：0

作者：

Doh, Tae-Yong ^{[1
]}

Ryoo, Jung Rae ^{[2
]}

机构：

[1] Hanbat Natl Univ, Dept Control & Instrumentat Eng, San 16-1, Taejon 305719, South Korea

[2] Seoul Natl Univ Sci & Tech, Dept Control & Instrumentat Eng, Seoul 139743, South Korea

来源：

2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2011年

基金：

新加坡国家研究基金会;

关键词：

Iterative learning control (ILC); convergence; L-2; norm; robust performance; uncertainty; performance weighting function; LTI SYSTEMS; STRAIGHTFORWARD;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Generally, an iterative learning controller is added on the existing feedback control system to improve the tracking performance. However, the iterative learning controller has been designed without utilizing effective information used in the design of the feedback controller. This paper proposes a robust convergence condition in the L-2-norm sense for an iterative learning control (ILC) system including a feedback controller and an uncertain linear time-invariant plant. We present a method to design an iterative learning controller using the information on the performance of the existing feedback control system. From the obtained results, several design criteria for the ILC system are provided.

引用

页码：1084 / 1087

页数：4

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