Satellite Attitude Estimation Using MEMS<br/>

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Satellite Attitude Estimation Using MEMS

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 42632 (45)
University: Sharif University of Technology
Department: Aerospace Engineering
Advisor(s): Pourtakdoost, Hossein
Abstract:
This thesis deals with the attitude estimation based on low cost sensor for a micro satellite in a circular, low earth orbit (LEO) and sensor calibration. With two body problem theory and Quaternion formulation, rotational motion is modeled. In addition gravity gradient effect is considered on satellite orbital elements. Using a 3-axis MEMS-based magnetometer and a sun sensor as two measurement systems, low cost attitude estimation is proposed. Bias and Scale factor are presented to model deterministic sensor error and white Gaussian noise to model stochastic sensor error. It is shown that by sensor calibration the estimation accuracy will improve. Non-linear estimation methods EKF, SRUKF and SS-SRUKF are implemented for satellite attitude estimation in this thesis. The results of each algorithm are shown and compared with each other. The effects of earth shadow and measurement delay are examined on estimation process
Keywords:
Attitude Estimation ; Extended Kalman Filter ; Microelectromechanical Systems (MEMS) ; Magnetometer ; Unscented Kalman Filter

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