Title
Data-Driven Controller Unfalsification With Analytic Update Applied to a Motion System
Abstract
Ellipsoidal unfalsified control is a plant-model-free, data-driven control design method. It recursively checks, using available data, whether the ability of a controller to meet a predefined performance requirement is (un)falsified. The set of unfalsified controllers is described by an ellipsoid in the control parameter space. The update of the ellipsoid employing new measurements can be computed analytically, hence, it is computa- tionally cheap. This adaptive scheme is applied to an experimental motion system, namely to an industrial inkjet printer at a sample rate of 1 kHz. The results clearly show that the algorithm updates the control parameter set when the performance requirement is not met with the currently implemented one. The resulting closed-loop behavior resembles the predefined reference model in the dominant frequency range.
Year
DOI
Venue
2008
10.1109/TCST.2008.919429
IEEE Trans. Contr. Sys. Techn.
Keywords
Field
DocType
Motion control,Control systems,Control system analysis,Motion analysis,Control design,Ellipsoids,Electrical equipment industry,Printers,Frequency,Control engineering
Control theory,Motion control,Ellipsoid,Reference model,Control theory,Control engineering,Process control,Control system,Adaptive control,Motion system,Mathematics
Journal
Volume
Issue
ISSN
16
6
1063-6536
Citations 
PageRank 
References 
3
0.51
4
Authors
3
Name
Order
Citations
PageRank
Jeroen van Helvoort1414.52
Bram de Jager211621.17
Maarten Steinbuch365896.53