An extended Kalman filter is used to estimate the parameters of a low-order model from aircraft transient response data. The low-order model is a state-space model derived from the short-period approximation of the longitudinal aircraft dynamics. The model corresponds to the pitch rate to stick force transfer function currently used in flying qualities analysis. The parameters are estimated from flight data as well as from a 6-DOF nonlinear simulation of the aircraft. These two estimates are then compared, and the discrepancies noted. The low-order model is able to satisfactorily match both flight data and simulation data from a high-order computer simulation.
Estimating short-period dynamics using an extended Kalman filter
AIAA/SFTE/DGLR/SETP Biannual Flight Test Conference ; 1990 ; Ontario, CA, United States
1990-01-01
Conference paper
No indication
English
Estimating Motion Parameters of Head by Using Hybrid Extended Kalman Filter
British Library Conference Proceedings | 2009
|