Data‐driven approach for estimating longitudinal aerodynamic parameters using neural artificial bee colony fusion algorithm

P Kumar, SK Sonkar, RC George, D Philip… - Asian Journal of …, 2023 - Wiley Online Library
Aerodynamic parameter estimation involves modeling both force and moment coefficients
along with the computation of stability and control derivatives from recorded flight data …

Aerodynamic characterisation of delta wing unmanned aerial vehicle using non-gradient-based estimator

N Kumar, S Saderla, Y Kim - The Aeronautical Journal, 2023 - cambridge.org
Aerodynamic characterisation from flight testing is an integral subroutine for evaluating a
new flight vehicle's aerodynamic performance, stability and controllability. The estimation of …

Machine Learning Opportunities in Flight Test: Preflight Checks

JR Walker, D Claudio - SN Computer Science, 2024 - Springer
Flight test for aircraft certification is a fundamental method to ensure safe aircraft and air
travel worldwide. Flight test data is collected through a limited number of discrete subspace …

Recurrent neural networks for aerodynamic parameter estimation with Lyapunov stability analysis

S Mohan George, SS Selvi, JR Raol - Systems Science & Control …, 2024 - Taylor & Francis
Aircraft parameter estimation is crucial for designing accurate and reliable flight dynamic
models, essential for integration into flight simulators and develo** effective control laws …

System identification of cropped delta UAVs from flight test methods using particle Swarm-Optimisation-based estimation

N Kumar, S Saderla, Y Kim - The Aeronautical Journal, 2023 - cambridge.org
In the era of Unmanned Aerial Systems (UAS), an onboard autopilot occupies a prominent
place and is inevitable for many of their modern applications. The efficacy of autopilot …

Aerodynamic Parameter Estimation for Near-Stall Maneuver Using Neural Networks and Artificial Bee Colony Algorithm

P Kumar, S Sonkar, RC George, D Philip… - Journal of Aerospace …, 2024 - ascelibrary.org
Accurate numerical values of aerodynamic parameters are important in aircraft design. The
knowledge of stability and control aerodynamic parameters is essential to postulate high …

Physics-Informed Transfer Learning-Based Aerodynamic Parameter Identification of Morphing Aircraft

D Qu, Q Wang, H Liu - Journal of Guidance, Control, and Dynamics, 2025 - arc.aiaa.org
This paper presents an aerodynamic parameter identification method for morphing aircraft
through physics-informed transfer learning. The basic configuration of the morphing aircraft …

[PDF][PDF] Sensor Based System Identification in Real Time for Noise Covariance Deficient Models.

P Kumar, S Sonkar, AK Ghosh, D Philip - Defence Science Journal, 2022 - core.ac.uk
System identification methods have extensive application in the aerospace industry's
experimental stability and control studies. Accurate aerodynamic modeling and system …

Review on neural network identification for maneuvering uavs

Y Zheng, H **e - 2018 International Conference on Sensing …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAV) need high mobility in performing military tasks. In this
paper, we summarized the UAVs identification methods based on neural network, which …

Assessment of Drag Prediction Techniques for a Flying Vehicle Based on Radar-Tracked Data

M Doso, MY Zakaria, MYM Ahmed, M Khalil - International Journal of …, 2024 - Springer
As far as the aerodynamic characterization of a flying vehicle is concerned, flight testing is
probably the most accurate approach as it perfectly resembles the real flight environment …