Estimation of a full set of aerodynamic coefficients for a flight vehicle is performed processing the actual flight test data. Extended Kalman filter algorithm is utilized. Dynamic plant modeling is set up including aerodynamic forces, thrust, and mass characteristics. The pre-processed test data are used as measurement inputs for the above filtering algorithm. Six component aerodynamic coefficient structure is modeled in a polynomial form. It contains a set of 30 independent coefficients which consists of static and dynamic derivatives in the longitudinal plane as well as in the lateral-directional one. The derivatives are determined by the multidimensional algebraic polynomial approximation from the wind tunnel look-up tables. The effect of parameter identification has been proved to be useful by comparing some state variable trajectoties one another which are constructed from the identified parameters, the original wind tunnel data, and the telemetered flight test data.
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