Aerodynamic Measurements of Hypersonic Free-Flight via Optical Tracking and Bayesian State Estimation
Article
Article Title | Aerodynamic Measurements of Hypersonic Free-Flight via Optical Tracking and Bayesian State Estimation |
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ERA Journal ID | 3575 |
Article Category | Article |
Authors | Lock, Andrew, Hack, Flynn, Jahn, Ingo, Armstrong, Gerard, Birch, Byrenn and Buttsworth, David |
Journal Title | AIAA Journal: devoted to aerospace research and development |
Number of Pages | 16 |
Year | 2024 |
Publisher | American Institute of Aeronautics and Astronautics |
Place of Publication | United States |
ISSN | 0001-1452 |
1533-385X | |
Digital Object Identifier (DOI) | https://doi.org/10.2514/1.J064061 |
Web Address (URL) | https://arc.aiaa.org/doi/10.2514/1.J064061 |
Abstract | Optical force and moment measurements of hypersonic free-flight can cover a range of attitudes during a single test and avoid difficulties encountered by alternative measurement techniques. However, the signal to noise ratio of image processing is often low, and results require significant smoothing for meaningful interpretation. This work presents a new method for such measurements in which a sigma-point Kalman filter and Rauch–Tung–Striebel smoother compute a state estimate at each time step using images from two or more high-speed camera images. Markers detected in each image are treated as individual system observations, so cameras need not be synchronized nor be viewing similar features. The benefits of this approach are demonstrated with experiments of a cube in Mach 6 flow in the University of Southern Queensland’s TUSQ wind tunnel. Measured aerodynamic coefficients show strong agreement to CFD simulations also conducted as part of this work; average differences are 1.7% and 7.8% of the maximum measured forces and moments, respectively. A discussion on factors influencing the accuracy, uncertainty, and resolution of the results provides guidance to further improve the method. Moreover, this method can be extended to more complex geometry representing space debris and hypersonic vehicles. |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 400106. Hypersonic propulsion and hypersonic aerothermodynamics |
400107. Satellite, space vehicle and missile design and testing | |
460306. Image processing | |
Public Notes | The accessible file is the accepted version of the paper. Please refer to the URL for the published version. |
Byline Affiliations | University of Southern Queensland |
Institute for Advanced Engineering and Space Sciences (Research) |
https://research.usq.edu.au/item/zq9q2/aerodynamic-measurements-of-hypersonic-free-flight-via-optical-tracking-and-bayesian-state-estimation
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