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
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;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272210