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meetings - Space Flight Mechanics Committee

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10:45 AAS The Unscented Semi-analytical Kalman Filter<br />

13-281 Weijun Huang, Albany, CA; Paul Cefola, University at Buffalo, State University of<br />

New York<br />

An effective catalog maintenance strategy is needed to keep track of all the space objects<br />

including active and inactive satellites, rocket bodies, and smaller space debris. This paper<br />

designs and proposes the Unscented Semianalytical Kalman Filter (USKF) for rapid orbit<br />

tracking. The USKF combines the Draper Semianalytic Satellite Theory (DSST) with the<br />

Unscented Kalman Filter. Since the mean equinoctial elements are chosen as the filter<br />

solve-for variables, the USKF is expected to be more effective than the existing orbit<br />

tracking algorithms. Both simulated and real observation data will be used to test the<br />

performance of the USKF.<br />

11:05 AAS Applications of Unscented and Quadrature Consider Filters using a Modified<br />

13-283 Joseph Formulation<br />

Kyle DeMars, Air Force Research Laboratory; Renato Zanetti, Draper Laboratory<br />

Consider filters provide an approach for accounting for the effects of uncertain parameters<br />

within the measurement function when performing state updates. The consider parameters<br />

are the parameters which yield statistically important effects in updating the state of a<br />

system, but for which improved estimates are not required, e.g. sensor biases. This paper<br />

develops a general covariance update equation via a Joseph formulation that is valid when<br />

considering nonlinear measurements and studies the properties of the developed method.<br />

Simulation studies for both linear and nonlinear measurements are considered and<br />

compared for both unscented and quadrature formulations of the filtering step.<br />

11:25 AAS Drag Coefficient Modeling for GRACE using Direct Simulation Monte Carlo<br />

13-284 Piyush Mehta, University of Kansas; Craig McLaughlin, University of Kansas<br />

The drag coefficient of a satellite in LEO is a strong function of energy-accommodation,<br />

gas-surface interaction, attitude, satellite geometry, spacecraft relative velocity, atmospheric<br />

composition, atmospheric temperature, and spacecraft surface properties. The Direct<br />

Simulation Monte Carlo (DSMC) code, DS3V, is used to develop a drag coefficient model<br />

for GRACE. The code is validated with the analytical solution for the drag coefficient of a<br />

sphere and cylinder and drag coefficients derived for GRACE using a flat plate model. The<br />

energy-accommodation model assumes Maxwellian (diffuse) gas-surface interactions.<br />

23 rd AAS / AIAA <strong>Space</strong> <strong>Flight</strong> <strong>Mechanics</strong> Meeting Page 43

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