Design of an Adaptive Attitude Estimator of a Satellite for Large-Angle Maneuvers Using Star Sensor and Gyroscope Models

In this paper we will design an interacting multiple models adaptive attitude estimator (IMMAE) for a satellite using a star sensor in which the satellite requires to have a relatively large angle maneuvers around pitch and roll axes simultaneously. This method improves the accuracy of the attitude estimation by identifying the star sensor noise level at the end of maneuvers while imaging takes place. In this method, high fidelity gyro and star sensor models are used to evaluate the design in realistic situation associated with gyro errors and star sensor noise level uncertainties. The effectiveness of the proposed method will be examined and compared with previous proposed methods through numerical simulations.

کلیدواژه ها:

Adaptive ، Attitude Estimator ، Dynamic Model ، Star Sensor ، Gyroscope