Feedback approach to design fast iterative learning controller for a class of time-delay systems

被引:22
作者
Meng, D. [1 ]
Jia, Y. [1 ]
Du, J. [2 ]
Yuan, S. [3 ]
机构
[1] Beihang Univ BUAA, Res Div 7, Beijing 100083, Peoples R China
[2] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Sch Comp Sci & Technol, Beijing 100876, Peoples R China
[3] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Henan, Peoples R China
关键词
NONLINEAR-SYSTEMS; CONTROL ALGORITHM; DYNAMIC-SYSTEMS; CONTROL SCHEMES; FREQUENCY; ERROR; MODEL;
D O I
10.1049/iet-cta:20080036
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The design of a fast iterative learning controller for a class of linear time-varying continuous systems with multiple time delays is discussed. A feedback iterative learning control (ILC) scheme is considered from the point of view of the two-dimensional (2D) system. To this end, a time-varying 2D error system is developed in the form of the continuous-discrete Roesser model, and its solution is summarised in terms of norm inequality. Based on this 2D error system, a sufficient convergence criterion is provided to ensure that the feedback ILC scheme drives the output tracking error to zero after just one iteration. Furthermore, by exploiting some prediction results with an observer, a new ILC scheme is derived only using feedforward controllers, which can equivalently achieve the learning performance of the feedback ILC scheme. The simulation results show that the proposed ILC schemes can provide fast updating laws to improve the tracking performance of the control systems.
引用
收藏
页码:225 / 238
页数:14
相关论文
共 49 条
[1]   Monotonic convergent iterative learning controller design based on interval model conversion [J].
Ahn, HS ;
Moore, KL ;
Chen, YQ .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2006, 51 (02) :366-371
[2]   Stability analysis of discrete-time iterative learning control systems with interval uncertainty [J].
Ahn, Hyo-Sung ;
Moore, Kevin L. ;
Chen, YangQuan .
AUTOMATICA, 2007, 43 (05) :892-902
[3]   Iterative learning control: Brief survey and categorization [J].
Ahn, Hyo-Sung ;
Chen, YangQuan ;
Moore, Kevin L. .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2007, 37 (06) :1099-1121
[4]   A learning control for a class of linear time varying systems using double differential of error [J].
Arif, M ;
Ishihara, T ;
Inooka, H .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2003, 36 (02) :223-234
[5]   Experience-based iterative learning controllers for robotic systems [J].
Arif, M ;
Ishihara, T ;
Inooka, H .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2002, 35 (04) :381-396
[6]   Prediction-based Iterative Learning Control (PILC) for uncertain dynamic nonlinear systems using system identification technique [J].
Arif, M ;
Ishihara, T ;
Inooka, H .
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2000, 27 (03) :291-304
[7]   BETTERING OPERATION OF ROBOTS BY LEARNING [J].
ARIMOTO, S ;
KAWAMURA, S ;
MIYAZAKI, F .
JOURNAL OF ROBOTIC SYSTEMS, 1984, 1 (02) :123-140
[8]   A survey of iterative learning control [J].
Bristow, Douglas A. ;
Tharayil, Marina ;
Alleyne, Andrew G. .
IEEE CONTROL SYSTEMS MAGAZINE, 2006, 26 (03) :96-114
[9]  
Chen YQ, 1996, IEEE DECIS CONTR P, P3038, DOI 10.1109/CDC.1996.573586
[10]  
CHEN YQ, 1992, PROCEEDINGS OF THE 31ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, P2504, DOI 10.1109/CDC.1992.371075