Gun lunched projectile often has a challenge problem associated with the dynamic system is the modeling inaccuracies resulting from the rapid changes of atmospheric properties and aerodynamic characteristics at high flight velocity. A maximum likelihood method based on interior point algorithm to estimate the aerodynamic parameters for symmetric spinning projectiles is proposed in this paper. The proposed algorithm can improve the accuracy and efficiency compared with traditional maximum likelihood estimation, and reduce the dependence of initial conditions and keep the aerodynamic estimation results in a reasonable scope for a spinning projectile. Simulation results shows that the algorithm proposed in this paper can effectively identify the aerodynamic parameters with high precision and a quick convergence velocity and is therefore suitable for use in actual engineering.
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