摘要：AbstractA semi-parametric regression methodology is formulated to identify the unsteady lift characteristics of a small UAS undergoing dynamic stall. Based on the trailing edge separation model of Leishmann and Beddoes, the nonlinear evolution of the separation point is formulated so that it can be estimated by non-parametric Machine Learning methods. Validation of the methodology is presented with the identification of the lift coefficient based on quasi-steady wind tunnel tests.
关键词：KeywordsNonlinear system identificationMachine learningGrey box modellingUnmanned aircraft systemStall modellingNon-parametric methods
