Physics-informed Platform for Flight Dynamics Simulation

In this study, we present the state-of-the-art development of the flight dynamics model of a rigid body from the theoretical aspect of flight dynamics, design the software architecture, and validate the proposed architecture by comparing the simulation results with the check-cases for the verification of six-degree-of-freedom flight vehicle simulations document issued by the National Aeronautics and Space Administration (NASA).We also design the computational workflow between the ordinary differential equations of the system and other axillary components by weaving those relations in the object-oriented programing style and powered with Python scientific libraries.The simulation outcomes in all cases are well matched with the majority of NASA baseline datasets under the same flight simulation conditions, which reflect the accuracy of the model with considerable confidence.

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Publication Details

Journal
Sensors and Materials
Published
2025-12-05
DOI
https://doi.org/10.18494/sam5957
Primary Topic
Aerospace and Aviation Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

Physics-informed Platform for Flight Dynamics Simulation

Pitikhate Sooraksa, Pattiwat Atayagul
Sensors and Materials
Aerospace and Aviation Technology
article

Physics-informed Platform for Flight Dynamics Simulation

Pitikhate Sooraksa, Pattiwat Atayagul
article en

Abstract

In this study, we present the state-of-the-art development of the flight dynamics model of a rigid body from the theoretical aspect of flight dynamics, design the software architecture, and validate the proposed architecture by comparing the simulation results with the check-cases for the verification of six-degree-of-freedom flight vehicle simulations document issued by the National Aeronautics and Space Administration (NASA).We also design the computational workflow between the ordinary differential equations of the system and other axillary components by weaving those relations in the object-oriented programing style and powered with Python scientific libraries.The simulation outcomes in all cases are well matched with the majority of NASA baseline datasets under the same flight simulation conditions, which reflect the accuracy of the model with considerable confidence.

Sensors and MaterialsVol. 37(12)
King Mongkut's Institute of Technology Ladkrabang (TH)
King Mongkut's Institute of Technology Ladkrabang
Openalex Percentile: Top 50%
Aerospace and Aviation Technology
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