TY - GEN
T1 - Real-time wind vector estimation for a micro UAV
AU - Qu, Yaohong
AU - Xing, Zhewen
AU - Zhang, Youmin
AU - Yu, Ziquan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/25
Y1 - 2017/7/25
N2 - This paper presents an approach to estimate wind vector for a micro UAV by using only its inertial measurement unit in real-time. This method does not need additional sensors and dedicated anemometer, while just relying on the onboard inertial measurement unit to reserve the valuable payload for other onboard sensors. A smoothing filter is also designed based on the minimum summation of distance vector in order to reduce the effect of sensor noise. Simulation results prove the feasibility of the proposed real-time wind vector estimation approach.
AB - This paper presents an approach to estimate wind vector for a micro UAV by using only its inertial measurement unit in real-time. This method does not need additional sensors and dedicated anemometer, while just relying on the onboard inertial measurement unit to reserve the valuable payload for other onboard sensors. A smoothing filter is also designed based on the minimum summation of distance vector in order to reduce the effect of sensor noise. Simulation results prove the feasibility of the proposed real-time wind vector estimation approach.
UR - http://www.scopus.com/inward/record.url?scp=85034096861&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2017.7991356
DO - 10.1109/ICUAS.2017.7991356
M3 - 会议稿件
AN - SCOPUS:85034096861
T3 - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
SP - 1716
EP - 1721
BT - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
Y2 - 13 June 2017 through 16 June 2017
ER -