A Tracking Algorithm of Hypersonic Glide Reentry Vehicle via Aerodynamic Model.

Aiming at the problem of large errors in the state estimation of hypersonic gliding reentry vehicle (HGRV) by traditional tracking algorithms, a tracking algorithm via aerodynamic model is proposed. Firstly, aerodynamic Jerk model of the target is deduced in Velocity-turn-climb (VTC) coordinate system, and the influence of each component of the model on the target motion is analyzed. Secondly, the climb and turn maneuver models are researched respectively, and it is concluded that latter is the major difficulty in tracking. Then, the aerodynamic model is improved by introducing a priori information between the climb force parameter and the turn force parameter into the high order state vector. At the same time, an interacting multiple model (IMM) algorithm based on the aerodynamic model is constructed, considering the change of maneuver frequency in different flight modes. Simulation results show that the proposed algorithm outperforms other tracking algorithms, and it has stronger adaptability and robustness when the target is maneuvering especially. [ABSTRACT FROM AUTHOR]