DocumentCode :
13951
Title :
Invariant Observer Design for a Helicopter UAV Aided Inertial Navigation System
Author :
Barczyk, Martin ; Lynch, Alan F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Volume :
21
Issue :
3
fYear :
2013
fDate :
May-13
Firstpage :
791
Lastpage :
806
Abstract :
The invariant observer is a recently introduced constructive nonlinear design method for symmetry-possessing systems such as the magnetometer-plus-global positioning system (GPS)-aided inertial navigation system (INS) example considered in this paper. The resulting observer guarantees a simplified form of the nonlinear estimation error dynamics, which can be stabilized by a proper choice of observer gains using a nonlinear analysis. A systematic approach to this step is the invariant Extended Kalman Filter (EKF), which is modified from its originally proposed form and applied to the aided INS example to obtain the observer gains. The resulting invariant observer is implemented onboard an outdoor helicopter unmanned aerial vehicle platform and successfully validated in experiment and demonstrates an improvement in performance over a conventional (non-invariant) EKF design.
Keywords :
Kalman filters; autonomous aerial vehicles; design engineering; helicopters; inertial navigation; nonlinear estimation; nonlinear filters; observers; sensor fusion; EKF design; GPS-aided INS; constructive nonlinear design method; helicopter UAV aided inertial navigation system; invariant extended Kalman filter; invariant observer design; magnetometer-plus-global positioning system-aided inertial navigation system; nonlinear analysis; nonlinear estimation error dynamics; outdoor helicopter unmanned aerial vehicle platform; symmetry-possessing systems; systematic approach; Global Positioning System; Helicopters; Magnetometers; Manifolds; Mathematical model; Nonlinear dynamical systems; Observers; Inertial navigation; Kalman filters (KFs); nonlinear systems; observers; sensor fusion; unmanned aerial vehicles (UAVs);
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2012.2195495
Filename :
6203568
Link To Document :
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