Quadrotor Gray-Box Model Identification from High-Speed Flight Data

Journal Article (2019)
Author(s)

Sam Sun (TU Delft - Control & Simulation)

C. C. De Visser (TU Delft - Control & Simulation)

Q. P. Chu (TU Delft - Control & Simulation)

Research Group
Control & Simulation
DOI related publication
https://doi.org/10.2514/1.C035135
More Info
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Publication Year
2019
Language
English
Research Group
Control & Simulation
Issue number
2
Volume number
56
Pages (from-to)
645-661

Abstract

To explore the aerodynamic effects on a quadrotor in the high-speed flight regime and establish an accurate nonlinear model, free-flight tests with a quadrotor are carried out in a large-scale wind tunnel. The flight data reveal that complex aerodynamic interactions could appear and significantly influence the forces and moments acting on the quadrotor, which indicate the inaccuracy of state-of-art models established based on helicopter aerodynamic theory. To cope with this problem, gray-box models considering these effects are identified from flight data using a stepwise system identification approach, which combines both prior knowledge of rotorcraft aerodynamic properties as well as data observations. Previous models introduced in the literature are compared with the gray-box models. Validation results show an 80% reduction of moment model residuals and a 20% reduction of force model residuals.

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