Real-Time Data-Driven Inverse Heat Conduction Method for a Reentry Flight Vehicle Based on the Random Forest Algorithm
Publication: Journal of Aerospace Engineering
Volume 37, Issue 1
Abstract
The real-time monitoring of heat fluxes on the surface of a flight vehicle is vital for safe reentry and efficient attitude control. However, conducting measurements during flight is a challenge. In this study, a real-time heat flux estimation method using inverse heat conduction was proposed, and internally mounted sensors were used for measurements. First, the time-varying samples of heat flux on the surface and temperature on the inner wall were generated along a variety of reentry trajectories. Second, a sensor selection algorithm based on feature importance was applied to select optimal sensor mounting locations. Finally, a prediction model was built using the random forest algorithm to estimate surface heat flux with measured temperatures from the mounted sensors. The proposed method was employed to predict the real-time heat flux of a reentry capsule during return flight. The results show that the proposed method can predict heat flux in real time with a prediction error of less than 0.2%. Further, the sensor selection algorithm enhanced prediction efficiency by reducing the number of necessary sensors.
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Data Availability Statement
All the data, models, and codes used or generated during the study appeared in the published article.
Acknowledgments
This work gained support from the major advanced research project of Civil Aerospace from State Administration of Science, Technology and Industry of China. The authors thankfully acknowledged this institution.
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Information & Authors
Information
Published In
Journal of Aerospace Engineering
Volume 37 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 11, 2023
Accepted: Jul 31, 2023
Published online: Sep 27, 2023
Published in print: Jan 1, 2024
Discussion open until: Feb 27, 2024
ASCE Technical Topics:
- Aerospace engineering
- Aircraft and spacecraft
- Algorithms
- Business management
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Equipment and machinery
- Flight
- Forests
- Mathematics
- Measurement (by type)
- Practice and Profession
- Probe instruments
- Public administration
- Public health and safety
- Safety
- Structural engineering
- Structural members
- Structural systems
- Temperature effects
- Temperature measurement
- Walls
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