Talks and Poster Presentations (with Proceedings-Entry):

H. W. Yoo, S. Ito, M. Verhaegen, G. Schitter:
"Transformation-based Iterative Learning Control for Non-collocated Sensing of a Galvanometer Scanner";
Talk: European Control Conference ECC 2013, Zürich; 07-17-2013 - 07-19-2013; in: "Proceedings of European Control Conference ECC 2013", (2013), 1204 - 1209.

English abstract:
A transformation-based iterative learning control
(ILC) approach is proposed to achieve accurate image scanning
for the non-collocated dynamics of a galvanometer scanner. The
non-collocation between the encoder and beam scanning mirror
results in a tracking error of the actual beam position although
the encoder measurement matches the reference signal. The
proposed ILC is extended from the conventional ILC design
by adding a reference transformation filter, which is based on
the transfer functions between the measured and the controlled
output. An error analysis shows that the proposed method can
reduce the error of the actual controlled output, especially
for applications of a large tracking reference such as image
scanning. Experimental results with the proposed ILC show
a better tracking accuracy as compared to conventional ILC
design with non-collocated sensing.

Created from the Publication Database of the Vienna University of Technology.