Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

The improvement of the active support control system force transducer performance, based on Kalman filtering

Authors
Yongjian Ma, Xiaojin Li, Hongshen Zhao
Corresponding Author
Yongjian Ma
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.194How to use a DOI?
Keywords
Kalman filtering; active support control; noise processing
Abstract
In the active support control system, the sampling accuracy of force sensor directly affect the force control precision of the system, the surface of the primary mirror, and then affect the imaging quality of the optical system. Based on the Kalman filtering, this document introduces the force sensor signal filtering model of the active support system, verifies the validity of Kalman filtering to filtering the random noise signal via the Kalman filtering processing and analysis of the sampling of the active support system, realizes the high accuracy force of the system, which better the shape of the primary mirror.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.194How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yongjian Ma
AU  - Xiaojin Li
AU  - Hongshen Zhao
PY  - 2015/04
DA  - 2015/04
TI  - The improvement of the active support control system force transducer performance, based on Kalman filtering
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 999
EP  - 1004
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.194
DO  - https://doi.org/10.2991/icmra-15.2015.194
ID  - Ma2015/04
ER  -