2022
DOI: 10.1016/j.actaastro.2022.05.004
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Optimal low-thrust linearized elliptic orbit rendezvous considering the communication window

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Cited by 5 publications
(2 citation statements)
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“…Regarding the problem of orbital maneuver planning using cold gas propulsion or electric propulsion, many studies use trajectory optimization methods based on continuous thrust; however, need to solve more complex nonlinear programming problems [10][11][12], and the amount of calculation is also huge. In order to simplify the calculation, the impulsive planning model can still be used in the modeling of the maneuvering trajectory planning problem based on the micro-thruster, but the corresponding constraints need to be proposed to achieve the impulsive approximation of the finite thrust [13].…”
Section: Introductionmentioning
confidence: 99%
“…Regarding the problem of orbital maneuver planning using cold gas propulsion or electric propulsion, many studies use trajectory optimization methods based on continuous thrust; however, need to solve more complex nonlinear programming problems [10][11][12], and the amount of calculation is also huge. In order to simplify the calculation, the impulsive planning model can still be used in the modeling of the maneuvering trajectory planning problem based on the micro-thruster, but the corresponding constraints need to be proposed to achieve the impulsive approximation of the finite thrust [13].…”
Section: Introductionmentioning
confidence: 99%
“…Extensive research and classification of low-thrust low-energy transfers between low Earth and lunar orbits using indirect optimal control are thoroughly examined in [7]. On the other hand, direct methods rely on discretization/parametrization and transform the optimal control problem into a nonlinear programming problem [8][9][10] to solve transfer [11], rephasing [12], and rendezvous [13][14][15][16] problems. Both approaches struggle with significant sensitivity to the initial guess, lead to numerous local extrema, and incur high computational costs during the optimization process.…”
Section: Introductionmentioning
confidence: 99%