Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Adaptive Gain Tuning Feedback Control of a Flexible Manipulator

Authors
Minoru Sasaki, Toshifumi Kojima, Kojiro Matsushita, Satoshi Ito, Titus Mulembo, IlhamdiMuhammad Rusydi
Corresponding Author
Minoru Sasaki
Available Online June 2017.
DOI
10.2991/caai-17.2017.128How to use a DOI?
Keywords
adaptive gain tuning control; flexible manipulator; feedback control; vibration control; MapleSimTM
Abstract

This paper presents vibration control of a flexible manipulator by an adaptive direct strain gain tuning feedback control. Adaptive feedback gain tuning is applied on the measured strain. These experiments compared the control performance of fixed and adaptive feedback gain control. Results show that adaptive feedback gain control has better performance in vibration control than the fixed feedback gain control.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
10.2991/caai-17.2017.128How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Minoru Sasaki
AU  - Toshifumi Kojima
AU  - Kojiro Matsushita
AU  - Satoshi Ito
AU  - Titus Mulembo
AU  - IlhamdiMuhammad Rusydi
PY  - 2017/06
DA  - 2017/06
TI  - Adaptive Gain Tuning Feedback Control of a Flexible Manipulator
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 575
EP  - 580
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.128
DO  - 10.2991/caai-17.2017.128
ID  - Sasaki2017/06
ER  -