A Method to Speed Up Convergence of Iterative Learning Control for High Precision Repetitive Motions

no code implementations • 29 Jul 2023 • Richard W. Longman, Shuo Liu, Tarek A. Elsharhawy

Iterative Learning Control (ILC) records previous run tracking error, adjusts the next run command, aiming for zero tracking error in the real world, not our model of the world.

On designing finite time iterative learning control based on steady state frequency response

no code implementations • 6 Oct 2021 • Shuo Liu, Richard W. Longman, Benjamas Panomruttanarug

Iterative Learning Control (ILC) is useful in spacecraft application for repeated high precision scanning maneuvers.

Modifying and optimizing the inverse of the frequency response circulant matrix as an iterative learning control compensator

no code implementations • 6 Oct 2021 • Shuo Liu, Richard W. Longman

The purpose of this paper is to create a method of designing ILC compensators based on steady state frequency response, and have the ILC converge to zero error in spite of transients and bandwidth.