Performance Assessment of Convex Low-Thrust Trajectory Optimization Methods

نویسندگان

چکیده

Different discretization and trust-region methods are compared for the low-thrust fuel-optimal trajectory optimization problem using successive convex programming. In particular, differential integral formulations of adaptive pseudospectral Legendre–Gauss–Radau method, an arbitrary-order Legendre–Gauss–Lobatto technique based on Hermite interpolation, a first-order-hold considered. The number points segments is varied. Moreover, two hard-trust-region soft-trust-region strategy compared. It briefly discussed whether these methods, if implemented relevant hardware, would fulfill general requirements onboard guidance. A perturbed cubic interpolation propagation nonlinear dynamics used to generate initial guesses varying quality. Interplanetary transfers near-Earth asteroid, Venus, asteroid Dionysus chosen assess overall performance.

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ژورنال

عنوان ژورنال: Journal of Spacecraft and Rockets

سال: 2023

ISSN: ['1533-6794', '0022-4650']

DOI: https://doi.org/10.2514/1.a35461