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Spacecraft Attitude Estimation Via Nonlinear Filtering Using Thermal Sensors

Labibian, Amir | 2017

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 50340 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Pourtakdoust, Hossein; Alikhani, Alireza
  7. Abstract:
  8. The problem of spacecraft attitude determination (AD) using thermal data is investigated. Given the Solar space environment, the key dominant mechanism of heat transfer will be radiation, in which the Sun and Earth are the major contributing heat sources that affect the satellite external surface temperatures. In this sense, the net heat fluxes (NHF) of a satellite surface that is insulated against any internal heat communication will only be related to these main radiating sources. In order to utilize the satellite temperature data for AD, a heat attitude model (HAM) that relates the satellite surfaces NHF to its attitude is developed using three orthogonal satellite surfaces. Assuming that the satellite navigational data is available, HAM is developed using the concept of view factors and the satellite surfaces NHF. The HAM is initially verified via two well-known satellite thermal analysis tools. Subsequently, HAM observability requirements as well as the conditions for unique solution are investigated. In addition, two nonlinear filtering approaches of Extended Kalman Filter (EKF) as well as the Unscented Kalman Filter (UKF) are next implemented whose results are comparatively evaluated for accuracy. In addition, the filtering performance, robustness and sensitivity with respect to tuning and orbital parameters as well as uncertainties are established via a Monte Carlo analysis. Finally, given the set of experimental temperature data available for a cubic laboratory satellite model placed in a vacuum chamber, validation aspects of HAM is performed using two test scenarios
  9. Keywords:
  10. Attitude Estimation ; Heat ; Observability ; Validation ; Verification ; Heat Sensors

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