Real-time collision avoidance maneuvers for spacecraft proximity operations via discrete-time Hamilton–Jacobi theory

Kwangwon Lee, Chandeok Park, Youngho Eun

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This study presents a sub-optimal feedback control that implements real-time collision avoidance for spacecraft in proximity operations. The penalty function for avoiding collision with obstacles is first incorporated into the performance index of a typical optimal tracking problem. Then, the infinite-horizon feedback control law is derived by employing generating functions in the framework of discrete-time Hamilton–Jacobi theory. The derived control law, which is an explicit function of the reference states and instantaneous positions of obstacles, allows active spacecraft to avoid collision in real-time. The proposed approach has advantages over conventional optimal collision avoidance approaches in that it does not require iterations with initial guesses, repetitive shooting-based process for multiple boundary conditions, and/or trajectories of obstacles to be known a priori. Numerical simulations demonstrate that the proposed algorithm with a properly designed penalty function is suitable for implementing optimal collision-free transfers in real-time.

Original languageEnglish
Pages (from-to)688-695
Number of pages8
JournalAerospace Science and Technology
Volume77
DOIs
Publication statusPublished - 2018 Jun 1

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Collision avoidance
Spacecraft
Feedback control
Trajectories
Boundary conditions
Computer simulation

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

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Real-time collision avoidance maneuvers for spacecraft proximity operations via discrete-time Hamilton–Jacobi theory. / Lee, Kwangwon; Park, Chandeok; Eun, Youngho.

In: Aerospace Science and Technology, Vol. 77, 01.06.2018, p. 688-695.

Research output: Contribution to journalArticle

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