The control of the flight behaviour of a projectile partly depends on the knowledge of the coefficients associated with each aerodynamic loading. Different tools are used in the industry, such as numerical aerodynamic codes or wind tests in order to obtain a first estimate of the coefficients during the stage of pilot study. It is then necessary to verify the value of the coefficients and to validate the behaviour of the projectile thanks to scored fires. An automated tool is consequently proposed in order to identify the aerodynamic coefficients of a projectile from flight data. The identification technique is designed so as to be applicable to the widest range of projectiles. It presents a nonlinear optimization problem in finite dimension. The functional of the problem contains two terms : the first one is a gap between the state parameters and the measurements, in order to approach the measurements at best and to relax them, and the second one is a penalization term which takes the flight mechanics equations into account. The proposed tool is tested, for a Kinectic Energy projectile, with simulated data or real flight data. It enables the identification of the searched out aerodynamic coefficients. The algorithm is robust in a noisy environment and also enables the reconstruction of a denoised trajectory.
