Validation of nonlinear integrated navigation solutions. (2017)

• Record Type: Journal Article
• Authors: Rohac, Jan; Hansen, Jakob M.; Alam, Mushfiqul; Sipos, Martin; Johansen, Tor A.; Fossen, Thor I.
• Is Part Of: Annual reviews in control. Volume 43(2017)
• Page Start: 91
• Page End: 106
• Publication Date: 2017
• Subjects: Extended Kalman filter -- Nonlinear observer -- Robust navigation -- INS/GNSS integration -- Inertial sensors; Automatic control -- Periodicals; Periodicals; 629.805
• DOI: 10.1016/j.arcontrol.2017.03.006
• Languages: English
• ISSNs: 1367-5788

Abstract

Abstract: There exist numerous navigation solutions already implemented into various navigation systems. Depending on the vehicle in which the navigation system is used, it can be distinguished in most cases among; navigation, tactical, and commercial grade categories of such systems. The core of these systems is formed by inertial sensors, i.e. accelerometers and angular rate sensors/gyros. Navigation and tactical grade systems commonly rely on fiber optic/ring laser gyros and servo/quartz accelerometers with high resolution, sensitivity, and stability. In the case of cost-effective navigation systems, for example piloted light and ultralight aircraft, usually use commercial grade sensors, where the situation differs. The sensor outputs are less stable and sensitive, and suffer from manufacturing limits leading to temperature dependency, bias instability, and misalignment which introduces non-negligible disturbances. These conditions commonly limit the applicability of the navigation solution since its stand-alone operation using free integration of accelerations and angular rates is not stable. This paper addresses a cost-effective solution with commercial grade inertial sensors, and studies the performance of different approaches to obtain navigation solution with robustness to GNSS outages. A main goal of this paper is thus comparison of a nonlinear observer and two extended Kalman filter solutions with respect to the accuracy of estimated quantities and their sensitivity to GNSS outages. The performance analyses are carried out on real flight data and evaluated during phases of the flight when the solutions are challenged by different environmental disturbances.