Semi-parametric Regression based on Machine Learning Methods for UAS Stall Identification
نویسندگان
چکیده
A semi-parametric regression methodology is formulated to identify the unsteady lift characteristics of a small UAS undergoing dynamic stall. Based on trailing edge separation model Leishmann and Beddoes, nonlinear evolution point so that it can be estimated by non-parametric Machine Learning methods. Validation presented with identification coefficient based quasi-steady wind tunnel tests.
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2021
ISSN: ['2405-8963', '2405-8971']
DOI: https://doi.org/10.1016/j.ifacol.2021.08.355