Open AccessInformation Fusion-Based Optimal Attitude Control for an Alterable Thrust Direction Unmanned Aerial Vehicle
Author(s) -
Ziyang Zhen,
Ju Jiang,
Xinhua Wang,
Daobo Wang
Publication year - 2013
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/54886
Subject(s) - computer science , controller (irrigation) , thrust , control theory (sociology) , attitude control , nonlinear system , control (management) , control system , fusion , guidance system , simulation , control engineering , artificial intelligence , aerospace engineering , engineering , linguistics , philosophy , physics , electrical engineering , quantum mechanics , agronomy , biology
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 fusion‐based control strategy when compared to the single‐loop design method. We also show that the ATD technique improves the anti‐disturbance capacity of the UAV
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