Residual Vibration Suppression using Hankel Iterative Learning Control

J.J.M. Wijdeven, van de, O.H. Bosgra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

In this paper we present a new approach for reduction of residual vibrations in point-to-point motions basedon Iterative Learning Control (ILC). The approach is to add a signal to the command input during the point-to-point motion chosen such as to compensate for the residual vibration. A special form of ILC with separate actuation and observation time windows is shown to find the required input. Optimal suppression is obtained by iteratively updating the additionalcommand signal using the measured residual vibrations and a newly designed control strategy which incorporates 1) robustness to model uncertainties and unmodeled dynamics and 2) the capability of shaping the command signal to limit the command amplitude. In an application on a flexible system we show thatthe presented approach is successful in suppression of residual vibrations with a minimized maximum command amplitude.
Original languageEnglish
Title of host publicationAmerican Control Conference 2006
Place of PublicationUnited States, Minneapolis MN
Pages1778-1783
Publication statusPublished - 2006

Fingerprint Dive into the research topics of 'Residual Vibration Suppression using Hankel Iterative Learning Control'. Together they form a unique fingerprint.

Cite this