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

DOI

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.

Copyright

© 2015, 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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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  - Proceedings of the 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  - 10.2991/icmra-15.2015.194
ID  - Ma2015/04
ER  -