Some aspects of an optimization approach to iterative learning control

An optimization approach to Iterative Learning Control (ILC) is considered. The ILC algorithm is formed by minimizing a quadratic criterion in the control error and input signal. A frequency domain interpretation of the derived updating algorithm is given. Experiments carried out on an ABB IRB 1400 are presented.

[1]  D. de Roover,et al.  Run-to-run control of static systems , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[2]  Minh Q. Phan,et al.  Linear quadratic optimal learning control (LQL) , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[3]  D. de Roover,et al.  Synthesis of a robust iterative learning controller using an H/sub /spl infin// approach , 1996 .

[4]  Kevin L. Moore,et al.  Iterative Learning Control: An Expository Overview , 1999 .

[5]  Tsutomu Mita,et al.  Iterative control and its application to motion control of robot arm - A direct approach to servo-problems , 1985, 1985 24th IEEE Conference on Decision and Control.

[6]  E. Rogers,et al.  Iterative learning control using optimal feedback and feedforward actions , 1996 .

[7]  Jian-Xin Xu,et al.  Iterative Learning Control , 1998 .

[8]  Kwang Soon Lee,et al.  Design of quadratic criterion-based iterative learning control , 1998 .

[9]  Masaki Togai,et al.  Analysis and design of an optimal learning control scheme for industrial robots: A discrete system approach , 1985, 1985 24th IEEE Conference on Decision and Control.

[10]  Andrew A. Goldenberg,et al.  Learning approximation of feedforward dependence on the task parameters: Experiments in direct-drive manipulator tracking , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[11]  Michael J. Grimble,et al.  Iterative Learning Control for Deterministic Systems , 1992 .

[12]  Mikael Norrlöf,et al.  On Analysis and Implementation of Iterative Learning Control , 1998 .