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Simultaneous Attitude and Orbit Determination Using Sensor Fusion Algorithm Based on the Dynamic of Satellite and Star Tracker

Khalesi, Ruhollah | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46395 (08)
  4. University: Sharif University of Technology
  5. Department: Mechanical Engineering
  6. Advisor(s): Salarieh, Hassan
  7. Abstract:
  8. Control and guidance of a vehicle is vital for it to do its mission correctly. Guidance system and decisional algorithms used in it need exact information of instantaneous position, velocity, and attitude of the guided vehicle to determine and issue proper guiding commands.
    Estimation algorithms and navigation sensors are two necessary tools for navigation. In the first section of present study, the satellite equations of motion are derived and a 6-DOF simulation is done for it. In the second section, measurements of star tracker will be simulated using results of the first section. The third section appertains to development of navigation equations, attitude determination using UKF algorithm, and investigation of filter equation parameters.
    The designed algorithm is evaluated in different scenarios. Results show that, attitude and angular velocity can be estimated with good accuracy but filter needs more time to estimate orbit parameters. Error of attitude parameters will be omitted by star tracker quickly but by increasing the initial estimation error of position and velocity, converging time will increase too. Also adding damping torque to equations, improve algorithm performance and all parameters estimated with good accuracy if satellite pointed toward earth
  9. Keywords:
  10. Six Degree of Freedom Simulation ; Unscented Kalman Filter ; Attitude Determination ; Navigation ; Star Tracker ; Star Tracker Sensor ; Gravity Gradient Torque

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