Title:
Nonlinear Spacecraft Formation Flying Using Constrained Differential Dynamic Programming
Nonlinear Spacecraft Formation Flying Using Constrained Differential Dynamic Programming
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Author(s)
Sasaki, Tomohiro
Ho, Koki
Lightsey, E. Glenn
Ho, Koki
Lightsey, E. Glenn
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Abstract
The advancement of spacecraft guidance, navigation, and control (GNC) technology
is essential for future space systems. This paper contributes to the GNC area
by solving nonlinear unconstrained/constrained multi-spacecraft optimal control
problems using an existing technique of dynamic programming, differential dynamic
programming (DDP). DDP is a trajectory optimization methodology that
iteratively finds a local optimal control policy around nominal state and control sequences.
This method is extensively getting attention in Robotics and Aerospace
and is extended to a constrained problem in a recent decade. The constrained
DDP (CDDP) has proven its optimality and displayed satisfactory numerical performance.
This paper utilizes this algorithm and simulated spacecraft formation
flying by the Julia Language. Benefiting from the fast computing language, successful
CDDP spacecraft formation flying simulation results are shown in this paper
without using any numerical optimization solvers.
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Date Issued
2022-08
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