@inproceedings{b1e632d7f8924caeb2a173ab68de2aa3,
title = "Precision sinusoidal tracking for galvanometer scanner with smith predictor-based adaptive sliding mode control",
abstract = "Galvanometer scanner (GVS) is a versatile instrument in the modern engineering fields. One of the important applications is to realize the laser scanning confocal microscope. Such inspection tool usually needs an affine signal to be its scanning trajectory like triangular waveform or sinusoidal signal. However, there still exists some problems such as temperature variation and time delay in GVS system, and thus the tracking performance of GVS will be jeopardized. In this paper, we design a smith predictor-based adaptive sliding mode control combined with an internal model principle (IMP) to address those limitations. With the proposed control method, it can simultaneously handle the mismatch model problem, which often occurs in Smith predictor control, as well as the issue of tracking the sinusoidal reference signals. A series of comprehensive experiments have been conducted, which demonstrate a better tracking accuracy as compared to the performances of those which only apply a traditional PD controller.",
keywords = "Adaptive sliding mode control, Galvanometer scanner (GVS), High-precision tracking, Internal model principle (IMP), Smith predictor",
author = "Liu, {Wei Chih} and Liu, {Da Wei} and Wu, {Jim Wei} and Chang, {Kuang Yao} and Chou, {Meng Hao} and Fu, {Li Chen}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Automatic Control Conference, CACS 2016 ; Conference date: 09-11-2016 Through 11-11-2016",
year = "2017",
month = jul,
day = "10",
doi = "10.1109/CACS.2016.7973891",
language = "???core.languages.en_GB???",
series = "2016 International Automatic Control Conference, CACS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "100--105",
booktitle = "2016 International Automatic Control Conference, CACS 2016",
}