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Abstract A 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… Click to show full abstract
Abstract A 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.
Keywords:
parametric regression;
methodology;
machine learning;
semi parametric;
learning methods
Journal Title: IFAC-PapersOnLine
Year Published: 2021
Link to full text (if available)
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Journal Title: IFAC-PapersOnLine
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!