Abstract
A six-degree-of- freedom dynamic model is presented in this paper. Using the model and an extended Kalman filter algorithm (EKF), the problem of the real-time identification of the aerodynamic characteristics of a re-entry body is investigated and a large number of numerical simulations are conducted. A detailed comparison is made between the present model and an ordinary model. The present model obviates the somewhat impractical assumptions about altitude measurements and atmospheric modeling made in the ordinary model, and is capable of estimating aerodynamic coefficient ratios, including the important static stability margin. Furthermore, the convergence time and model errors of the two models are analyzed and compared. The results show that the present model has greater applicability as compared with the ordinary model.
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