Aerodynamic Parameter Identification of Drag Modulation Vehicle for Aeroassisted Maneuver

Aerocapture is a maneuver that utilizes atmospheric drag for orbital adjustments. Drag modulation is an effective aerocapture control method that achieves the desired target orbit by adjusting the ballistic coefficient. Accurate identification of the ballistic coefficient during the atmospheric flight phase is critical for ensuring the control precision and flight safety of the vehicle. This paper proposes a Cubature Kalman Smoothing (CKS) algorithm based on singular value decomposition (SVD) and initial value iteration. First, singular value decomposition is introduced to maintain the stability of the identification process. Second, the sensitivity of the algorithm to the initial values is mitigated by incorporating an iterative initialization method. Finally, the accuracy and robustness of the proposed identification algorithm are validated through Monte Carlo simulations.