Hybrid model-based and data-driven wind velocity estimator for an autonomous robotic airship-Reference-Cited by-同舟云学术

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Hybrid model-based and data-driven wind velocity estimator for an autonomous robotic airship

Published:2020-02-19 Issue:3 Volume:42 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Marton Apolo Silva^ORCID,Fioravanti André Ricardo,Azinheira José Raul,de Paiva Ely Carneiro

Funder

Erasmus+

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação para a Ciência e a Tecnologia

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s40430-020-2215-8.pdf

Reference20 articles.

1. Allison S, Bai H, Jayaraman B (2019) Estimating wind velocity with a neural network using quadcopter trajectories. In: AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics

2. Carichner GE, Nicolai LM (2013) Fundamentals of aircraft and airship design volume 2 - airship design and case studies. AIAA

3. Chaturvedi DK, Chauhan R, Kalra PK (2002) Application of generalised neural network for aircraft landing control system. Soft Comput 6(6):441–448

4. Cho A, Kim J, Lee S, Kee C (2011) Wind estimation and airspeed calibration using a UAV with a single-antenna GPS receiver and pitot tube. IEEE Trans Aerosp Electron Syst 47(1):109–117

5. Elfes A, Bueno S.S, Ramos JJG, de Paiva, EC, Bergerman M, Carvalho JRH, Maeta SM, Mirisola LGB, Faria BG, Azinheira JR (2002) Modelling, control and perception for an autonomous robotic airship. In: Sensor based intelligent robots. Springer, pp 216–244

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