A method to reconstruct the flight path of an aircraft in symmetric, nonsteady flight by representing this path by a set of splines is described. A set of splines is chosen for which the flight test data are best explained in weighted least squares sense. This leads to a large, sparse, nonlinear, overdetermined system, in which the spline coefficients, together with unknown parameters, are the unknowns. Experimental results obtained by processing simulated flight test data compare favorably with the results of the Kalman (square root information) smoother.
Two-Dimensional Flight-Path Reconstruction by Means of Spline Approximation
1982
53 pages
Report
Keine Angabe
Englisch
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