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RobustD-Stability Controller Design for a Ducted Fan Unmanned Aerial Vehicle
Author(s) -
Xiao-lu Ren,
Changhong Wang,
Guoxing Yi
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/746379
Subject(s) - algorithm , aerodynamics , stability (learning theory) , computer science , robustness (evolution) , artificial intelligence , mathematics , machine learning , aerospace engineering , engineering , chemistry , biochemistry , gene
This paper deals with the aerodynamic modeling of a small ducted fan UAV and the problem of attitude stabilization when the parameter of the vehicle is varied. The main aerodynamic model of the hovering flight UAV is first presented. Then, an attitude control is designed from a linearization of the dynamic model around the hovering flight, which is based on the H∞ output feedback control theory with D-stability. Simulation results show that such method has good robustness to the attitude system. They can meet the requirements of attitude control and verify further the feasibility of such a control strategy

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