Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Coarse Tracking System Identification of Compound Axis Control System based on the Measured Operation Data

Authors
Sen Bu, Shengli Qu, Bo Qian
Corresponding Author
Sen Bu
Available Online December 2016.
DOI
10.2991/icsma-16.2016.59How to use a DOI?
Keywords
coarse tracking, compound axis, difference , identification
Abstract

The coarse tracking system of compound axis control system has been determined. But the deep understanding of the coarse tracking system can only be analyzed by the measured operation data. Thus the linear model of the coarse tracking system can be identified only by the measured data. In this paper, we put forward the zero order, first order and second order differential treatment of the measured operation input and output data. By comparing the dynamic indexes of the unit step response of the identification model , the minimum error function and the simulation error, the best matching model is the second order system and second order difference.

Copyright
© 2016, 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 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-274-9
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.59How to use a DOI?
Copyright
© 2016, 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  - Sen Bu
AU  - Shengli Qu
AU  - Bo Qian
PY  - 2016/12
DA  - 2016/12
TI  - Coarse Tracking System Identification of Compound Axis Control System based on the Measured Operation Data
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 328
EP  - 334
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.59
DO  - 10.2991/icsma-16.2016.59
ID  - Bu2016/12
ER  -