Iterative control for periodic tasks with robustness considerations, applied to a nanopositioning stage

Research output: Contribution to journalConference articleAcademicpeer-review

9 Citations (Scopus)
3 Downloads (Pure)

Abstract

Nanopositioning stages are an example of motion systems that are required to accurately perform high frequency repetitive scanning motions. The tracking performance can be significantly increased by iteratively updating a feedforward input by using a nonparametric inverse plant model. However, in this paper it is shown that current approaches lack systematic robustness considerations and are suffering from limited design freedom to enforce satisfying convergence behavior. Therefore, inspired by the existing Iterative Learning Control approach, robustness is added to the existing methods to enable the desired convergence behavior. This results in the Robust Iterative Inversion-based Control method, whose potential for superior convergence is experimentally verified on a Nanopositioning system.
Original languageEnglish
Pages (from-to)623–628
JournalIFAC-PapersOnLine
Volume49
Issue number21
DOIs
Publication statusPublished - 10 Nov 2016
Event7th IFAC Symposium on Mechatronic Systems, September 5-8, 2016, Loughborough, UK - Loughborough, United Kingdom
Duration: 5 Sep 20168 Sep 2016

Fingerprint Dive into the research topics of 'Iterative control for periodic tasks with robustness considerations, applied to a nanopositioning stage'. Together they form a unique fingerprint.

  • Cite this