Iterative learning-based extraction of aerobomb drag

Abstract

The iterative learning method is successfully applied to an optimal problem that is related to aerodynamic property curve extraction from light testing data. The convergence is shown to be robust to the initial control guess. Several choices of learning gains for a better convergence performance are discussed. Results from actual flight testing data for three bombing flight paths are presented to validate the effectiveness of the proposed iterative learning scheme.