TY - GEN
T1 - A fault-tolerant, integrated navigation system architecture for UAVs
AU - Layh, Trevor
AU - Gebre Egziabher, Demoz
PY - 2015
Y1 - 2015
N2 - The core sub-system in the integrated navigation system presented in this paper was the GPS-aided Inertial Navigation System (INS) which provided estimates for aircraft position, velocity and attitude. In parallel, a cascaded system consisting of an Attitude Heading Reference System (AHR.S) and airspeed-based dead reckoner (DR.) provided redundant estimates of the position, velocity and attitude. Limitations in the AHRS-DR system typically lead to the GPS-aided INS providing better performance when GPS measurements are available. Conversely, the AHRS-DR system typically outperforms the GPS-aided INS during unaided operations. In view of this, it may be beneficial to design a fault tolerant filter that can "softly" switch between the parallel systems to create an optimally blended solution of both. The integrated navigation system developed in this work was implemented on a small UAV flight control system, and three flight environments were tested to characterize the performance. Flight data analysis illustrated that this system is capable providing accurate state estimation even in environments that would compromise a traditional UAV navigation system.
AB - The core sub-system in the integrated navigation system presented in this paper was the GPS-aided Inertial Navigation System (INS) which provided estimates for aircraft position, velocity and attitude. In parallel, a cascaded system consisting of an Attitude Heading Reference System (AHR.S) and airspeed-based dead reckoner (DR.) provided redundant estimates of the position, velocity and attitude. Limitations in the AHRS-DR system typically lead to the GPS-aided INS providing better performance when GPS measurements are available. Conversely, the AHRS-DR system typically outperforms the GPS-aided INS during unaided operations. In view of this, it may be beneficial to design a fault tolerant filter that can "softly" switch between the parallel systems to create an optimally blended solution of both. The integrated navigation system developed in this work was implemented on a small UAV flight control system, and three flight environments were tested to characterize the performance. Flight data analysis illustrated that this system is capable providing accurate state estimation even in environments that would compromise a traditional UAV navigation system.
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M3 - Conference contribution
AN - SCOPUS:84938779530
T3 - Institute of Navigation International Technical Meeting 2015, ITM 2015
SP - 702
EP - 712
BT - Institute of Navigation International Technical Meeting 2015, ITM 2015
PB - Institute of Navigation
T2 - Institute of Navigation International Technical Meeting 2015, ITM 2015
Y2 - 26 January 2015 through 28 January 2015
ER -