Rational iterative feedforward tuning: Approaches, stable inversion, and experimental comparison

L.L.G. Blanken, F.A.J. Boeren, D.J.H. Bruijnen, T.A.E. Oomen

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

6 Citations (Scopus)
2 Downloads (Pure)

Abstract

Feedforward control plays a key role in achieving high performance for industrial motion systems that perform non-repeating motion tasks. Recently, learning techniques have been proposed to further improve both performance and robustness to non-repeating tasks by using a rational feedforward basis. The aim of this paper is to propose a unifying framework which connects these approaches. Experimental results on an industrial motion system validate the approaches and illustrate benefits of rational feedforward tuning in motion systems, including pre- and post-actuation through stable inversion.
Original languageEnglish
Title of host publication2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA
PublisherAmerican Automatic Control Council (AACC)
Pages2629-2634
ISBN (Electronic)978-1-4673-8682-1
DOIs
Publication statusPublished - 2016
Event2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA - Boston Marriott Copley Place, Boston, MA, United States
Duration: 6 Jul 20168 Jul 2016
http://acc2016.a2c2.org/

Conference

Conference2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA
Abbreviated titleACC 2016
CountryUnited States
CityBoston, MA
Period6/07/168/07/16
Internet address

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