ICUAS'17 Paper Abstract

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Paper FrA4.3

Qu, Yaohong (Northwestern Ploytechnical University), Xing, Zhewen (Northwestern Polytechnical University), Zhang, Youmin (Concordia University), Yu, Ziquan (Northwestern Polytechnical University)

Real-Time Wind Vector Estimation for a Micro UAV

Scheduled for presentation during the "UAS Applications - VIII" (FrA4), Friday, June 16, 2017, 10:40−11:00, Lummus Island

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on March 29, 2024

Keywords UAS Applications, Payloads, Autonomy

Abstract

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.

 

 

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