Title :
A low-cost and fail-safe Inertial Navigation System for airplanes
Author :
Leutenegger, Stefan ; Siegwart, Roland Y.
Author_Institution :
Autonomous Syst. Lab., ETH Zurich, Zurich, Switzerland
Abstract :
A typical Inertial Navigation System (INS) fuses acceleration and angular rate readings with aiding measurements obtained by GPS and a compass. Here we present a robust state estimation framework based on the Extended Kalman Filter (EKF) applied to low-cost electronics typically installed on-board small unmanned airplanes. It uses airspeed measurements as a backup operation mode replacing GPS updates when temporarily unavailable. We demonstrate the applicability of the proposed approach to real-world scenarios using a challenging dataset recorded on-board a manned glider including long-term circling. A comparison between the normal operation mode and the backup solution reveals minimal difference between the respective orientation estimates, a position error growth sub-linear with time during GPS outage and a seamless transition back to GPS-based operation.
Keywords :
Kalman filters; aerospace control; aircraft; autonomous aerial vehicles; mobile robots; path planning; telerobotics; EKF; GPS; INS; airplanes; airspeed measurements; angular rate readings; backup operation; compass; extended Kalman Filter; fail safe inertial navigation system; low cost inertial navigation system; onboard small unmanned airplanes; robust state estimation framework; Airplanes; Global Positioning System; Magnetometers; Noise; Pressure measurement; Quaternions; Vectors;
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
DOI :
10.1109/ICRA.2012.6225061