Improved re-entry vehicle aerodynamic coefficient model based on particle swarm algorithm

In order to improve the accuracy of the re-entry vehicle aerodynamic coefficient model, this paper proposes an improved fitting model based on publicly available CAV-H aerodynamic coefficient data. The real aerodynamic data is compared with the calculated values of the improved model, showing that the relative errors of the lift and drag coefficients are all less than 2% on average. This indicates a higher degree of accuracy for the aerodynamic coefficient model presented in this paper. Additionally, identification algorithm and model comparison experiments demonstrate that the particle swarm algorithm yields better identification results with higher accuracy.