UAV attitude estimation using Unscented Kalman Filter and TRIAD
September 23, 2016 Β· Declared Dead Β· π IEEE transactions on industrial electronics (1982. Print)
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Authors
Hector Garcia de Marina, Fernando J. Pereda, Jose Marina Giron-Sierra, Felipe Espinosa
arXiv ID
1609.07436
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
222
Venue
IEEE transactions on industrial electronics (1982. Print)
Last Checked
4 months ago
Abstract
A main problem in autonomous vehicles in general, and in \acp{UAV} in particular, is the determination of the attitude angles. A novel method to estimate these angles using off-the-shelf components is presented. This paper introduces an \ac{AHRS} based on the \ac{UKF} using the \ac{TRIAD} algorithm as the observation model. The performance of the method is assessed through simulations and compared to an \ac{AHRS} based on the \ac{EKF}. The paper presents field experiment results using a real fixed-wing \ac{UAV}. The results show good real-time performance with low computational cost in a microcontroller.
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