Fault-Tolerant Control for Aircraft with Structural Damage Using Sparse Online Gaussian Process Regression
Jayden Dongwoo Lee,
Lamsu Kim,
Natnael S. Zewge
et al.
Abstract:This paper presents the design of data-driven fault-tolerant control using sparse online Gaussian process regression (SOGPR) to stabilize an aircraft with left-wing damage. The structural damage causes changes in mass, moment of inertia, center of gravity, and aerodynamic coefficients. These parameter variations deteriorate the performance of model-based nonlinear control methods. Hence, Gaussian process-based nonlinear dynamic inversion (GP-NDI) is proposed to compensate for uncertainties in situations of str… Show more
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