A Novel Design Framework for Point-to-Point ILC Using Successive Projection

被引:34
|
作者
Chu, Bing [1 ]
Freeman, Chris T. [1 ]
Owens, David H. [1 ,2 ,3 ]
机构
[1] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S10 2TN, S Yorkshire, England
[3] Inst Italiano Tecnol, Dept Adv Robot, I-16163 Genoa, Italy
关键词
Constraint handling; point-to-point iterative learning control (ILC); projection methods; ITERATIVE LEARNING CONTROL; RESIDUAL VIBRATION SUPPRESSION; ALGORITHMS;
D O I
10.1109/TCST.2014.2356931
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel design approach is proposed for point-to-point iterative learning control (ILC), enabling system constraints to be satisfied while simultaneously addressing the requirement for high-performance tracking. It is shown that point-to-point ILC design can be formulated and solved using a successive projection first proposed by J. von Neumann, allowing a number of new point-to-point ILC algorithms to be developed and analyzed. To illustrate this framework, two new algorithms are derived with different convergence and computational properties for the constrained point-to-point ILC design problem. The proposed algorithms are validated on a robotic arm with experimental results demonstrating their effectiveness.
引用
收藏
页码:1156 / 1163
页数:8
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