Flight Test of the Quadrotor based on Algorithm of Multi-sensor Fusion
Authors
Lingyu Liu, Xinhua Wang, Qingyan Tan
Corresponding Author
Lingyu Liu
Available Online May 2016.
- DOI
- 10.2991/itoec-16.2016.61How to use a DOI?
- Keywords
- Kalman filter; integrated navigation system; flight test
- Abstract
This paper introduces a multi-sensor fusion technology and verify Whether the integrated navigation system is valid. IMU and GPS/ barometer is complementary, the former's long-term stability is poor and short-term stability is good, and the latter is just the opposite. Therefore, the fusion algorithm can be used to combine the three data, the output of three-dimensional position information, speed information, attitude information, to provide navigation information for quadrotor. In loiter mode, fluctuations of roll channel and elevation channel are reduced, height tracking situation is better .
- 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 - Lingyu Liu AU - Xinhua Wang AU - Qingyan Tan PY - 2016/05 DA - 2016/05 TI - Flight Test of the Quadrotor based on Algorithm of Multi-sensor Fusion BT - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016) PB - Atlantis Press SP - 323 EP - 328 SN - 2352-5401 UR - https://doi.org/10.2991/itoec-16.2016.61 DO - 10.2991/itoec-16.2016.61 ID - Liu2016/05 ER -