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ANN-augmented filter-error method for fixed-wing UAV parameter estimation

delete2026-07-01
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PRE
AI
P
Pedro Jimenez-Soler *
P
Piotr Lichota
DOI：10.1016/j.robot.2026.105609delete
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Abstract

Abstract

En 中文
• ANN predicts process noise for improved UAV aerodynamic identification. • ANN-seeded FEM accelerates convergence and stabilizes innovations. • Two-stage OEM–FEM workflow enhances stability-derivative recovery. • Validated with nonlinear 6-DoF modeling and realistic flight disturbances.
Keywords:
UAV flight dynamics
Aerodynamic parameter identification
Nonlinear system identification
Filter-error method
Kalman filtering
Process-noise estimation

Journal

Robotics and Autonomous Systems cover
Robotics and Autonomous Systems
IF:
5.2
Papers:
639
Citations:
1.0W

Organization

No organization information available