Title of project: SPACECRAFT TRACKING IN DIFFERENT ORBITAL REGIMES
Funding agency (Optional): DoD
Description: In the highly contested space
environment, a pressing problem is the ability to identify and keep
track of unknown/hostile resident space objects (RSO; man-made or
natural). RSO stable tracking can be often prohibitive with intermittent
observations from different acquisition-rate sensors (cameras, lidar,
radar). The ability to reach consensus among asynchronous multiple
sensors with continuous dynamics will enable unprecedented high accuracy
RSO tracking and contribute to the most recent needs in the SSA domain.
We will consider sensor dynamic models (measured data) for typical
spacecraft systems as well as appropriate force models for different
orbital regimes (i.e., prediction of motion in LEO vs GEO), and explore
the ability of hybrid systems theory to achieve consensus among
different, noisy and possibly stochastic sources of information. In
addition to RSO stable tracking, we envision the ability to detect
maneuvers, thanks to sudden disagreements after the high level model has
converged to a consensus. Maneuvers will be interpreted as unexpected
degradations of the model performances, leading to a need for model
corrections that translate into control inputs to be estimated.
Knowledge and skills needed: Mechanics foundations, Astrodynamics, Control Theory, Matlab, Simulink, STK.