Constrained iterative feedback tuning for robust control of a wafer stage system

Research output: Contribution to journalArticleAcademicpeer-review

107 Citations (Scopus)
1028 Downloads (Pure)

Abstract

Iterative feedback tuning (IFT) enables the data-driven tuning of controller parameters without the explicit need for a parametric model. It is known, however, that IFT can lead to nonrobust solutions. The aim of this paper is to develop an IFT approach with robustness constraints. A constrained IFT problem is formulated that is solved by introducing a penalty function. Essentially, the gradient estimates decompose into: 1) the well-known IFT gradients and 2) the gradients with respect to this penalty function. The latter are obtained through a nonparametric model of the controlled system. This guarantees robust stability while only requiring a nonparametric model. The experimental results obtained from the motion control systems of an industrial wafer scanner confirm enhanced performance with guaranteed robustness estimates.
Original languageEnglish
Pages (from-to)56-66
Number of pages11
JournalIEEE Transactions on Control Systems Technology
Volume24
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016

Fingerprint

Dive into the research topics of 'Constrained iterative feedback tuning for robust control of a wafer stage system'. Together they form a unique fingerprint.

Cite this