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A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks

Wind velocity (strength and direction) is an important parameter for unmanned aerial vehicle (UAV)-based environmental monitoring tasks. A novel wind velocity estimation method is proposed for rotorcrafts. Based on an extended state observer, this method derives the wind disturbance from rotors’ spe...

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Detalles Bibliográficos
Autores principales: Wang, Jia-Ying, Luo, Bing, Zeng, Ming, Meng, Qing-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308789/
https://www.ncbi.nlm.nih.gov/pubmed/30572670
http://dx.doi.org/10.3390/s18124504
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author Wang, Jia-Ying
Luo, Bing
Zeng, Ming
Meng, Qing-Hao
author_facet Wang, Jia-Ying
Luo, Bing
Zeng, Ming
Meng, Qing-Hao
author_sort Wang, Jia-Ying
collection PubMed
description Wind velocity (strength and direction) is an important parameter for unmanned aerial vehicle (UAV)-based environmental monitoring tasks. A novel wind velocity estimation method is proposed for rotorcrafts. Based on an extended state observer, this method derives the wind disturbance from rotors’ speeds and rotorcraft’s acceleration and position. Then the wind disturbance is scaled to calculate the airspeed vector, which is substituted into a wind triangle to obtain the wind velocity. Easy-to-implement methods for calculating the rotorcraft’s thrust and drag coefficient are also proposed, which are important parameters to obtain the wind drag and the airspeed, respectively. Simulations and experiments using a quadrotor in both hovering and flight conditions have validated the proposed method.
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spelling pubmed-63087892019-01-04 A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks Wang, Jia-Ying Luo, Bing Zeng, Ming Meng, Qing-Hao Sensors (Basel) Article Wind velocity (strength and direction) is an important parameter for unmanned aerial vehicle (UAV)-based environmental monitoring tasks. A novel wind velocity estimation method is proposed for rotorcrafts. Based on an extended state observer, this method derives the wind disturbance from rotors’ speeds and rotorcraft’s acceleration and position. Then the wind disturbance is scaled to calculate the airspeed vector, which is substituted into a wind triangle to obtain the wind velocity. Easy-to-implement methods for calculating the rotorcraft’s thrust and drag coefficient are also proposed, which are important parameters to obtain the wind drag and the airspeed, respectively. Simulations and experiments using a quadrotor in both hovering and flight conditions have validated the proposed method. MDPI 2018-12-19 /pmc/articles/PMC6308789/ /pubmed/30572670 http://dx.doi.org/10.3390/s18124504 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Jia-Ying
Luo, Bing
Zeng, Ming
Meng, Qing-Hao
A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title_full A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title_fullStr A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title_full_unstemmed A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title_short A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks
title_sort wind estimation method with an unmanned rotorcraft for environmental monitoring tasks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308789/
https://www.ncbi.nlm.nih.gov/pubmed/30572670
http://dx.doi.org/10.3390/s18124504
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