Invariant-EKF design for quadcopter wind estimation-Reference-Cited by-同舟云学术

Invariant-EKF design for quadcopter wind estimation

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
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Author:

Chen Hao¹,Bai He¹,Taylor Clark N.²

Affiliation:

1. Oklahoma State University,Mechanical and Aerospace Engineering,Stillwater,OK,USA,74078

2. Air Force Institute of Technology,Department of Electrical and Computer Engineering,Wright-Patterson,OH,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867417.pdf?arnumber=9867417

Reference27 articles.

1. Wind estimation using quadcopter motion: A machine learning approach

2. Two Supervised Machine Learning Approaches for Wind Velocity Estimation Using Multi-Rotor Copter Attitude Measurements

3. Quadrotor UAV for wind profile characterization;moyano cano;Master’s thesis,2013

4. Wind gust estimation on a small VTOL UAV;pappu;Proceedings of the 7th AHS Technical Meeting on VTOL Unmanned Aircraft Systems and Autonomy Mesa AZ USA,2017

5. UAV state and parameter estimation in wind using calibration trajectories optimized for observability;shastry;Systems & Control Letters,2020

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