The accuracy of control and estimation tasks can strongly depend on the accuracy of the underlying model. In space, there are many sources that contribute to the uncertainty in the dynamics model of satellite attitude. Hence, the aim of this paper is to update the dynamical attitude model using grey modeling technique. In this paper, the residual error between the nominal dynamics model and in-flight attitude data is modeled using time series data analysis. Then the time series model of the residual error is augmented in the nominal dynamics model. The updated model is simulated and its performance is analyzed. The results show that the updated model is adequate describing the data.

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