The improvement of the active support control system force transducer performance, based on Kalman filtering
Yongjian Ma, Xiaojin Li, Hongshen Zhao
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.194How to use a DOI?
- Kalman filtering; active support control; noise processing
- 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.
- 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 - 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 - https://doi.org/10.2991/icmra-15.2015.194 ID - Ma2015/04 ER -