Abstract
For general image sensing applications in avionics, it is necessary to keep the line of sight (LOS) of the sensor insensitive to the carrier’s body rates. Such application requirement necessitates the usage of an inertial stabilized platform (ISP). Any ISP generally consists of a two- or three-axis gimbal system with the payload, i.e., sensors or cameras on the inner gimbal. The dynamics of such a system are complicated, and it is a difficult task to attain the objective of stabilization. Parameter estimation techniques are used to derive a state space model of the gimbal system dynamics from the experimented data or design data of the gimbal system. In this paper, a state space model is estimated using a prediction error method for a cross-coupled two-axis inertial stabilization platform and the results of both cross-coupled and state space estimation method are compared. The model satisfies the characteristics of the original system for a required frequency range.
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