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Information Fusion-Based Optimal Attitude Control for an Alterable Thrust Direction Unmanned Aerial Vehicle : Fusione di informazioni per controllo ottimo dell'attitudine in un veicolo aereo senza pilota, in: International Journal of Advanced Robotic Systems

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Autore Zhen, Ziyang; Jiang, Ju; Wang, Xinhua; Wang, Daobo
Pubblicato  InTech Open Access Publisher, 2013
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Abstract Attitude control is the inner‐loop and the
most important part of the automatic flight control
system of an unmanned aerial vehicle (UAV). The
information fusion‐based optimal control method is
applied in a UAV flight control system in this work.
Firstly, a nonlinear model of alterable thrust direction
UAV (ATD‐UAV) is established and linearized for
controller design. The longitudinal controller and
lateral controller are respectively designed based on
information fusion‐based optimal control, and then
the information fusion flight control system is built
up. Finally, the simulation of a nonlinear model
described as ATD‐UAV is carried out, the results of
which show the superiority of the information fusionbased
control strategy when compared to the singleloop
design method. We also show that the ATD
technique improves the anti‐disturbance capacity of
the UAV.
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Articoli a Rivista
2000 ed oltre
Superordinate work
 
no fulltext found International Journal of Advanced Robotic Systems
Autore: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Pubblicato: 2004
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Documents: International Journal of Advanced Robotic Systems
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PDF FaviconPDF  Information Fusion-Based Optimal Attitude Control for an Alterable Thrust Direction Unmanned Aerial Vehicle
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Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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