DocumentCode
404185
Title
Iterative learning control with iteration-domain adaptive feedforward compensation
Author
Chen, YangQuan ; Moore, Kevin L.
Author_Institution
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
Volume
5
fYear
2003
fDate
9-12 Dec. 2003
Firstpage
4416
Abstract
This paper considers the iteration-wise sinusoidal disturbance with a known period but with unknown amplitude and unknown phase in iterative learning control (ILC) applications. An adaptive feedforward compensation (AFC) scheme in the iteration domain is presented to effectively cancel the sinusoidal disturbance. This is an example of using an internal model principle (IMP) in the iteration domain which in fact leads to an ILC updating law with high-order in the iteration direction. A simulation example is presented for illustration.
Keywords
compensation; feedforward; iterative methods; learning (artificial intelligence); adaptive feedforward compensation; internal model principle; iteration domain; iteration wise sinusoidal disturbance; iterative learning control; Adaptive control; Application software; Automatic frequency control; Control systems; Convergence; Educational institutions; Error correction; Intelligent systems; Programmable control; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-7924-1
Type
conf
DOI
10.1109/CDC.2003.1272210
Filename
1272210
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