Aircraft Dynamics Identification for Optimal Control

Cédric Rommel 1, 2, 3, * Joseph Frédéric Bonnans 1, 3 Baptiste Gregorutti 2 Pierre Martinon 1, 3
* Corresponding author
1 Commands - Control, Optimization, Models, Methods and Applications for Nonlinear Dynamical Systems
UMA - Unité de Mathématiques Appliquées, Inria Saclay - Ile de France, CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
Abstract : Four new Maximum Likelihood based approaches for aircraft dynamics identification are presented and compared. The motivation is the need of accurate dynamic models for minimizing aircraft fuel consumption using optimal control techniques. A robust method for building aerodynamic models is also suggested. All these approaches were validated using real flight data from 25 different aircraft.
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Cédric Rommel, Joseph Frédéric Bonnans, Baptiste Gregorutti, Pierre Martinon. Aircraft Dynamics Identification for Optimal Control. 7th European Conference on Aeronautics and Space Sciences (EUCASS 2017), Jul 2017, Milan, Italy. ⟨10.13009/EUCASS2017-179⟩. ⟨hal-01639731⟩

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