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Symplectic adaptive algorithm for solving nonlinear two-point boundary value problems in Astrodynamics

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Indexed by:期刊论文

Date of Publication:2011-08-01

Journal:CELESTIAL MECHANICS & DYNAMICAL ASTRONOMY

Included Journals:SCIE

Volume:110

Issue:4

Page Number:319-342

ISSN No.:0923-2958

Key Words:Nonlinear optimal control; Two-point boundary value problem; Dual variational principle; Adaptive symplectic algorithm; Astrodynamics; Halo orbits

Abstract:In this paper, from a Hamiltonian point of view, the nonlinear optimal control problems are transformed into nonlinear two-point boundary value problems, and a symplectic adaptive algorithm based on the dual variational principle is proposed for solving the nonlinear two-point boundary value problem. The state and the costate variables within a time interval are approximated by using the Lagrange polynomial and the costate variables at two ends of the time interval are taken as independent variables. Then, based on the dual variational principle, the nonlinear two-point boundary value problems are replaced by a system of nonlinear equations which can preserve the symplectic structure of the nonlinear optimal control problem. Furthermore, the computational efficiency of the proposed symplectic algorithm is improved by using the adaptive multi-level iteration idea. The performance of the proposed algorithm is tested by the problems of Astrodynamics, such as the optimal orbital rendezvous problem and the optimal orbit transfer between halo orbits.

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