An intelligent model refinement approach for wide speed range hypersonic vehicle based on mechanism-data fusion

Purpose This study aims to provide an effective approach to mechanism model refinement for the wide speed range hypersonic vehicle considering aero-propulsion coupling characteristics. The analysis of the influence on mechanical data is carried out to reveal the role of environmental parameters in the aero-propulsion coupling mechanism model. Design/methodology/approach The intelligent model refinement method integrates physical information and real flight data with weak sensor dependence, which updates the environmental parameters by comparing the overload obtained from the mechanism model with the real overload. This approach circumvents the need for precise mechanics data of the wide speed range hypersonic vehicles, which are often required but difficult to obtain in traditional model correction methods. Findings The influence on the closed-loop system dynamic performance is analyzed to show the promotion of the intelligent model refinement approach to the integrated aero-propulsion control strategy. At an altitude of 25,000 meters and the Mach range of 6–6.5, the mean absolute error of the key parameters after correction is 95.2% lower than that before correction. Originality/value This method significantly suppresses the biases of the mechanism model within the wide speed range, moreover, the more accurate dynamic characteristic data improves the dynamic performance of the closed-loop system.

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Publication Details

Journal
Aircraft Engineering and Aerospace Technology
Published
2025-08-25
DOI
https://doi.org/10.1108/aeat-11-2024-0322
Citations
1
Primary Topic
Hydraulic and Pneumatic Systems
Type
article
Field-Weighted Citation Impact
0.71
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article

An intelligent model refinement approach for wide speed range hypersonic vehicle based on mechanism-data fusion

Jianwei Guo, Kai Liu, Yanqi Feng, Shuaibin An et al.
1 citations
Aircraft Engineering and Aerospace Technology
Hydraulic and Pneumatic Systems
0.71
article

An intelligent model refinement approach for wide speed range hypersonic vehicle based on mechanism-data fusion

Jianwei Guo, Kai Liu, Yanqi Feng, Shuaibin An, Jiaxin Li, Guan Wang, Zhigang Wu
article en
1 citations

Abstract

Purpose This study aims to provide an effective approach to mechanism model refinement for the wide speed range hypersonic vehicle considering aero-propulsion coupling characteristics. The analysis of the influence on mechanical data is carried out to reveal the role of environmental parameters in the aero-propulsion coupling mechanism model. Design/methodology/approach The intelligent model refinement method integrates physical information and real flight data with weak sensor dependence, which updates the environmental parameters by comparing the overload obtained from the mechanism model with the real overload. This approach circumvents the need for precise mechanics data of the wide speed range hypersonic vehicles, which are often required but difficult to obtain in traditional model correction methods. Findings The influence on the closed-loop system dynamic performance is analyzed to show the promotion of the intelligent model refinement approach to the integrated aero-propulsion control strategy. At an altitude of 25,000 meters and the Mach range of 6–6.5, the mean absolute error of the key parameters after correction is 95.2% lower than that before correction. Originality/value This method significantly suppresses the biases of the mechanism model within the wide speed range, moreover, the more accurate dynamic characteristic data improves the dynamic performance of the closed-loop system.

Aircraft Engineering and Aerospace TechnologyVol. 97(9)
Beijing Institute of Technology (CN), Beijing Electronic Science and Technology Institute (CN), Dalian University of Technology (CN), Dalian University (CN), Beijing Research Institute of Mechanical and Electrical Technology (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 26%
Hydraulic and Pneumatic Systems
0.71
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