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Original scientific paper

https://doi.org/10.1080/00051144.2022.2145697

Dynamic modelling of parafoil system based on aerodynamic coefficients identification

Ligan Zhao ; College of Artificial Intelligence, Nankai University, Tianjin, People’s Republic of China
Jin Tao ; College of Artificial Intelligence, Nankai University, Tianjin, People’s Republic of China
Hao Sun ; College of Artificial Intelligence, Nankai University, Tianjin, People’s Republic of China
Qinglin Sun ; College of Artificial Intelligence, Nankai University, Tianjin, People’s Republic of China


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Abstract

This study focuses on the identification of aerodynamic coefficients through airdrop data based on a known six-degree-of-freedom (6-DOF) model. Since the precise modelling of the parafoil system is a prerequisite for design of guidance, navigation and control systems, the accurate calculation of aerodynamic coefficients is vital. This paper first presents a rigid 6-DOF nonlinear model and simplifies it by linearizing the equations around the equilibrium point, which facilitates the acquisition of aerodynamic parameters next. Then, the recursive weighted least square method is applied to identify roll and yaw coefficients from airdrop test data. At last, simulations in the wind environment are implemented to analyse the dynamics of gliding and turning. The airdrop experiment also verifies the effectiveness of the dynamic model and the accuracy of identification.

Keywords

Parafoil system; dynamic model; RWLS; flight test; aerodynamic parameters

Hrčak ID:

315750

URI

https://hrcak.srce.hr/315750

Publication date:

16.11.2022.

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