1. Efficient estimation and uncertainty quantification in space mission dynamics
- Author
-
Yuki Sato and Piyush Grover
- Subjects
Nonlinear system ,Control theory ,Computation ,Homotopy ,Orbit (dynamics) ,State (computer science) ,Uncertainty quantification ,Space (mathematics) ,Particle filter ,Mathematics - Abstract
The problem of efficient and accurate orbit estimation of space trajectories is discussed. For highly sensitive low-fuel trajectories designed to exploit the complex nonlinear dynamics of the three-body problem , it is vital to have accurate state estimation during maneuvers and ability to deal with irregular observation update times. For instance, in Halo-orbit insertion and station keeping maneuvers, state estimation errors can propagate quickly. In this paper, we combine an efficient probability propagation method with a homotopy-based posterior computation method. The resulting particle filter is highly accurate even in highly nonlinear regime with intermittent observations, and yet an order of magnitude or more efficient than a generic particle filter implementation.
- Published
- 2012