Methods for the Real Time Identification of Vehicle Parameters.

摘要

This report presents two methods for on-line and real time estimation of parameters for application to aircraft, missiles, surface and subsurface marine vehicles and various subsystems. The first method is based on the instrumental variables approach. A new technique for choosing the instrument matrices is developed. This technique ensures algorithm convergence even with bad initial conditions and when the system parameters change. The second method uses the sensitivity functions reductions technique in the maximum likelihood approach to give a viable on-line or real time method. A maximum likelihood approach is also suggested for nonlinear systems. The trade offs of the two methods are discussed. These techniques are applied to simulation and flight test data. Excellent results are obtained in both cases. (Author)