Wind Estimation of a Quadrotor Unmanned Aerial Vehicle

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Wind Estimation of a Quadrotor Unmanned Aerial Vehicle

Cheng, Xiaomei / Wang, Yingxun / Cai, Zhihao / Liu, Ningjun / Zhao, Jiang

As the main external disturbance of the quadrotor unmanned aerial vehicle (UAV), the wind in nature causes unknown interference of the flight states of the quadrotor, which will adversely affect the performance of the control system. This paper introduces a method to estimate the horizontal wind speed in hover mode of the quadrotor UAV. Based on the extended state observer (ESO), the disturbance of the quadrotor UAV in hover mode is observed, and the relationship between the disturbance and the wind speed is established through a neural network to estimate the magnitude and direction of the horizontal wind speed. The effectiveness of the method is proved by simulation.

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Document information

Title :

Wind Estimation of a Quadrotor Unmanned Aerial Vehicle

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Yan, Liang (editor) / Duan, Haibin (editor) / Deng, Yimin (editor) / Cheng, Xiaomei (author) / Wang, Yingxun (author) / Cai, Zhihao (author) / Liu, Ningjun (author) / Zhao, Jiang (author)

Conference:

International Conference on Guidance, Navigation and Control ; 2022 ; Harbin, China August 05, 2022 - August 07, 2022

Published in:

Advances in Guidance, Navigation and Control ; Chapter : 580 ; 6004-6011

Lecture Notes in Electrical Engineering ; 845

Publication date :

2023-01-31

Size :

8 pages

ISBN :

978-981-19-6613-2 , 978-981-19-6612-5

ISSN :