DocumentCode :
1758401
Title :
Identification of Linear Models for the Dynamics of a Hovering Quadrotor
Author :
Bergamasco, Marco ; Lovera, Marco
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Politec. di Milano, Milan, Italy
Volume :
22
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
1696
Lastpage :
1707
Abstract :
Accurate dynamic modeling of helicopter aeromechanics is becoming increasingly important, as progressively stringent requirements are being imposed on rotorcraft control systems. System identification plays an important role as an effective approach to the problem of deriving or fine tuning mathematical models for purposes such as handling qualities assessment and control system design. In this paper, the problem of deriving continuous-time models for the dynamics of a small-scale quadrotor helicopter is considered. More precisely, the continuous-time predictor-based subspace identification approach is adopted and the results obtained in an experimental study are presented and discussed.
Keywords :
aerospace control; continuous time systems; helicopters; linear systems; mathematical analysis; continuous time predictor; control system design; dynamic modeling; fine tuning mathematical models; helicopter aeromechanics; hovering quadrotor dynamics; linear model identification; rotorcraft control systems; subspace identification approach; Aerodynamics; Data models; Helicopters; Mathematical model; Rotors; Uncertainty; Vehicle dynamics; Attitude control; state-space methods; system identification; unmanned aerial vehicles; unmanned aerial vehicles.;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2014.2299555
Filename :
6733364
Link To Document :
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