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Nonlinear Observer for Estimating Gravity Vector and Flight Path Angles of a High-Performance Aircraft
Abstract:
This paper proposes a nonlinear observer for the estimation of gravity vector and
angles with respect to velocity vector (flight path angle, bank angle) of a
high-performance aircraft. The technique is computationally simpler than the
extended Kalman filter (EKF) and hence is suitable for onboard implementations
when the digital flight control computer (DFCC) has computational burdens.
Flight test data of a highly maneuvering flight such as wind-up turns and full
rolls have been used to validate the technique.