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meetings - Space Flight Mechanics Committee

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satellite orbiting the first lunar libration point. Linked Autonomous Interplanetary Satellite<br />

Orbit Navigation (LiAISON) is used to calculate the orbit solution. This paper performs<br />

high-fidelity simulations exploring the utilization of LiAISON in providing improved<br />

accuracy for interplanetary departure missions. Comparisons with ground-based navigation<br />

are explored to assess autonomous navigation of interplanetary spacecraft with respect to<br />

supplementing current techniques. Results from simulations including the Mars Exploration<br />

Rover, Mars Science Laboratory, and Cassini are presented.<br />

10:45 AAS GOCE Fully-Dynamic Precise Orbit Recovery<br />

13-285 Francesco Gini, Universita' di Padova; Francesca Panzetta, Universita' di Padova;<br />

Massimo Bardella, Universita' di Padova; Stefano Casotto, Universita' di Padova<br />

GOCE was launched in 2009 at 250 km altitude to recover Earth's static gravity field. As<br />

part of the GOCE-Italy project, we carried out GPS-based, fully-dynamic POD of GOCE.<br />

Daily arcs were computed for about 500 days (November 1, 2009 - May 31, 2011). Results<br />

show an average post-fit RMS of zero-difference phase measurements of 8 mm. Most orbits<br />

compare to less than 6 cm 3D RMS with respect to the official kinematic/RD PSO orbits.<br />

These results form a solid basis for the reprocessing of GOCE tracking data for ocean tide<br />

parameters solutions.<br />

11:05 AAS Unscented Kalman Filter Robustness Assessment for Orbit Determination<br />

13-208 Using GPS Signals<br />

Paula C P M Pardal, ICT-UNIFESP; Helio Kuga, INPE; Rodolpho Moraes,<br />

UNIFESP<br />

In this work is presented the nonlinear unscented Kalman filter (UKF) evaluation for the<br />

satellite orbit determination problem, using GPS measurements. The assessment is based on<br />

the robustness of the filter. The main subjects for the evaluation are convergence speed and<br />

computational implementation complexity, which are based on comparing the UKF results<br />

against the extended Kalman filter (EKF) results for the same problem. After solving the<br />

real time orbit determination problem using actual GPS measurements, through the EKF<br />

and the UKF algorithms, the results obtained are compared in computational terms such as<br />

burden (complexity), convergence, accuracy, and relative CPU time.<br />

11:25 AAS Real Time Orbit Determination for Lunar and Planetary Missions<br />

13-209 Ryo Nakamura, Japan Aerospace Exploration Agency<br />

We develop a tool based on the Unscented Kalman Filter (UKF) for real-time orbit<br />

determination for lunar and planetary missions. The UKF has an advantage over the EKF in<br />

that they approximate the mean and covariance of state more accurately than EKF. The<br />

developed tool is evaluated through the orbit determination simulations during orbit<br />

insertion maneuvers of Japanese Venus Climate Orbiter “Akatsuki” and SELenological and<br />

ENgineering Explorer “Kaguya”. The simulation results indicate that the tool works well<br />

and the UKF is superior to the EKF in terms of both accuracy and stability of real-time orbit<br />

determination.<br />

23 rd AAS / AIAA <strong>Space</strong> <strong>Flight</strong> <strong>Mechanics</strong> Meeting Page 19

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