2007
DOI: 10.2514/1.25620
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Optimization of Multiple-Impulse, Multiple-Revolution, Rendezvous- Phasing Maneuvers

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Cited by 53 publications
(20 citation statements)
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“…studied the multiple impulsive fuel optimal orbit rendezvous problem under the linear [1] and nonlinear [2] dynamics, they directly applied the simplex, quadratic, genetic [3] and simulated annealing algorithms [4] to optimize the impulse vectors. Simulation results show that combining with the meta optimization method and the SQP method can effectively solve the problem [5]. Lawden, etc. proposed the principal vector theory to determine the trajectory optimal property [6] and added the coast stage or middle impulse to achieve the fuel optimal trajectory [7].…”
Section: Introductionmentioning
confidence: 90%
“…studied the multiple impulsive fuel optimal orbit rendezvous problem under the linear [1] and nonlinear [2] dynamics, they directly applied the simplex, quadratic, genetic [3] and simulated annealing algorithms [4] to optimize the impulse vectors. Simulation results show that combining with the meta optimization method and the SQP method can effectively solve the problem [5]. Lawden, etc. proposed the principal vector theory to determine the trajectory optimal property [6] and added the coast stage or middle impulse to achieve the fuel optimal trajectory [7].…”
Section: Introductionmentioning
confidence: 90%
“…If the value of J δ below zero, the additional impulse is increased to improve the orbit, and the greatest improvement in cost can be realized by applying the additional impulse at the time when primer magnitude reaches its maximum and in the direction of the maximum primer vector [2] . In the procedure of the optimization applying indirect approach, constraint of relative position at scheduled rendezvous point Q is handled by multiple-revolution Lambert homing algorithm [7] [8] . Genetic algorithm is adopted to solve the unconstraint optimization problem.…”
Section: Final and Initial Coastsmentioning
confidence: 99%
“…Where j X is the state of chaser spacecraft at j t satisfied (8) or (9). cf r is the position vector of chaser spacecraft at rendezvous time f t .…”
Section: B Optimal Schemementioning
confidence: 99%
“…Meanwhile, some researchers employed optimization algorithm for orbit design and obtained good results [10]. Following this research, a systematic study of optimization design of FRO is presented in this paper.…”
Section: Introductionmentioning
confidence: 98%