What is it about?
To find the optimal locations of sensor placement on an airfoil for accurate lift force prediction in a gusty environment, we propose using the Integrated Gradients (IG) algorithm, which quantifies the contributions of different input features in machine learning models. We compare sensor placements derived from various data-driven methods and conclude that the IG method provides the most optimal sensor configuration for prediction accuracy.
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Why is it important?
To mitigate the adverse effects of wind gusts on unmanned aerial vehicles (UAVs) and other aircraft, it is crucial to accurately sense the flow around the airfoil and predict the forces on the vehicle. A robust method for identifying the optimal sensor configuration will significantly enhance the effectiveness of control strategies.
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This page is a summary of: Integrated Gradients for Optimal Surface Pressure Sensor Placement for Lift Prediction of an Airfoil Subject to Gust, July 2024, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2024-4148.
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