An efficient method to reduce ill-posedness for dynamic load identification in short duration wind tunnels

Abstract

For the inverse problem of dynamic load identification in short duration wind tunnels, high system ill-posedness is a main cause leading to instability and low accuracy. In this study, an efficient method is proposed to reduce ill-posedness and identify dynamic load stably. The load to be identified is written as superposition of specific basis functions and each basis function is determined by specific parameters. A genetic algorithm is built to solve the parameters and construct the load. Compared with Tikhonov regularization method, the basis function method proposed can reduce the ill-posedness and numerical studies demonstrate its efficiency and accuracy.