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

TL;DR

This paper compares two frequency response-based iterative learning control methods for high-precision spacecraft maneuvers, analyzing their performance, robustness, and stability improvements through frequency cutoff techniques.

Contribution

It introduces and compares two novel ILC design methods based on steady state frequency response, enhancing stability and robustness in high-precision applications.

Findings

FIR filter-based ILC effectively mimics steady state frequency response.

Circulant matrix approach provides accurate steady state frequency response.

Frequency cutoff improves stability of ILC convergence.

Abstract

Iterative Learning Control (ILC) is useful in spacecraft application for repeated high precision scanning maneuvers. Repetitive Control (RC) produces effective active vibration isolation based on frequency response. This paper considers ILC designed from frequency response, comparing two methods recently developed. One adapts for ILC the FIR filter design in RC that mimics the systems steady state frequency response inverse, creating a filter designed for all frequencies from zero to Nyquist. Adjustment of gains must near the beginning of the matrix need to be made because FIR gains are truncated there. The other approach uses a circulant matrix obtained from the Toeplitz matrix of Markov parameters. It is shown to give steady state frequency response for the discrete frequencies that can be seen in the number of time steps in the ILC tracking problem. The main aim is to compare their performance and ease of use. A second aim is to learn from successful ILC designs to enhances stability robustness of the two methods. Finally, the use of an ILC frequency cutoff is studied as an alternative method to eliminate instability of the control action in the converged zero tracking error solution of many ILC problems.