Abstract
In this paper, we propose an AI-based methodology for estimating angle-of-attack and angle- of-sideslip without the need for traditional vanes and pitot-static systems. Our approach involves developing a custom neural-network model to represent the input-output relationship between air data and measurements from various sensors such as inertial measurement units. To generate the training data required for the neural network, we use a 6-degrees-of-freedom F-16 simulator, which is further modified to simulate more realistic flight data. The training data covers the full flight envelope, allowing the neural network to generate accurate predictions in all feasible flight conditions. Our methodology achieves high-accuracy estimations of angle-of-attack and angle-of-sideslip, with mean absolute errors of 0.534 346 and 0.247 346, respectively, during the test phase. The results demonstrate the potential of the proposed methodology to accurately estimate important flight parameters without the need for complex and costly instrumentation systems. The proposed methodology could have significant practical applications in the aviation industry, particularly in next-generation aircraft instrumentation and control. Future research could focus on further refining the neural-network model and exploring its application in other aircraft systems to improve safety and reduce costs.
Original language | English |
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Title of host publication | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
Publisher | American Institute of Aeronautics and Astronautics Inc, AIAA |
ISBN (Print) | 9781624107047 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 - San Diego, United States Duration: 12 Jun 2023 → 16 Jun 2023 |
Publication series
Name | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
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Conference
Conference | AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 |
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Country/Territory | United States |
City | San Diego |
Period | 12/06/23 → 16/06/23 |
Bibliographical note
Publisher Copyright:© 2023, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.