Fault-tolerant FADS system development for a hypersonic vehicle via neural network algorithms

Fault-tolerant FADS system development for a hypersonic vehicle via neural network algorithms

Hypersonic vehicles suffer from extreme aerodynamic heating during flights, especially around the area of leading edge due to its small curvature. Therefore, flush air data sensing (FADS) system has been developed to perform accurate measurement of the air data parameters. In the present study, the...

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Bibliographic Details
Main Authors: Qian Wan, Minjie Zhang, Guang Zuo, Tianbo Xie
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
FADS System
Hypersonic vehicle
Neural network
Numerical simulation
Fault detection
Redundancy management
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034923000351

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http://www.sciencedirect.com/science/article/pii/S2095034923000351

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