The maximum-likelihood algorithm, the Kalman filter, and smoother algorithms were applied to real flight data from a CH-47 helicopter (two flights) to estimate motion (attitude, position, and velocity) and sensor parameters (gains and biases of the rate gyros and accelerometers) of the craft. Performances of the algorithms were compared. Some attempts were also made to estimate sensor noise parameters.
Application of Flight Path Reconstruction Algorithms for Flight Data of Helicopter
1988
25 pages
Report
No indication
English
Aircraft , Aeronautics , Algorithms , Attitude control , Ch-47 helicopter , Flight characteristics , Flight paths , Noise prediction (Aircraft) , Aerodynamic characteristics , Statistical analysis , Data processing , Data sampling , Data smoothing , Electronic filters , Equations of motion , Error analysis , Flight tests , Kalman filters , Maximum likelihood estimates , Foreign technology
Development of Helicopter Flight Path Models
IEEE | 1976
|Development of helicopter flight path models
Tema Archive | 1976
|