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A convex guidance algorithm for formation reconfiguration

Show simple item record Acikmese, A. Behcet Schar, Daniel P. Murray, Emmanuell A. Hadaeghs, Fred Y. 2007-03-05T23:31:56Z 2007-03-05T23:31:56Z 2006-08-21
dc.identifier.citation AIAA Guidance, Navigation and Control Conference, Keystone, Colorado, August 21-24, 2006. en
dc.identifier.clearanceno 06-0394
dc.description.abstract In this paper, a reconfiguration guidance algorithm for formation flying spacecraft is presented. The formation reconfiguration guidance problem is first formulated as a continuous-time minimum-fuel or minirnumenergy optimal control problem with collision avoidance and control constraints. The optimal control problem is then discretized to obtain a finite dimensional parameter optimization problem. In this formulation, the collision avoidance constraints are imposed via separating planes between each pair of spacecraft. A heuristic is introduced to choose these separating planes that leads to the convexification of the collision avoidance constraints. Additionally, convex constraints are imposed to guarantee that no collisions occur between discrete time samples. The resulting finite dimensional optimization problem is a second order cone program, for which standard algorithms can compute the global optimum with deterministic convergence and a prescribed level of accuracy. Consequently, the formation reconfiguration algorithm can be implemented onboard a spacecraft for real-time operations. en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1078362 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006. en
dc.subject formation reconfiguration en
dc.subject formation flying en
dc.subject collision aviodance en
dc.title A convex guidance algorithm for formation reconfiguration en
dc.type Preprint en

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