Advancing Averaged Primer Vector Theory with Bang–Bang Control and Eclipsing

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Authors: Noah Lifset, Ryan P. Russell
Cited by: 0

Abstract

Primer vector theory using averaged dynamics is well suited for optimizing low-thrust, many-revolution spacecraft trajectories but is difficult to implement in a way that maintains both optimality and computational efficiency. An improved model is presented that combines advances from several past works into a general and practical formulation for minimum-fuel, perturbed Keplerian dynamics. The model maintains computational efficiency of dynamics averaging with optimal handling of the eclipsing constraint and bang–bang control through the use of the Leibniz integral rule for multi-arc averaging. A subtle but important singularity arising from the averaged eclipsing constraint is identified and fixed. A maximum number of six switching function roots per revolution is established within the averaged dynamics. This new theoretical insight provides a practical upper bound on the number of thrusting arcs required for any low-thrust optimization problem. Variational equations are provided for fast and accurate calculation of the state transition matrix for use in targeting and optimization. The dynamics include generic two-body perturbations and an expanded state to allow for sensitivity calculations with respect to launch date and flight time. The new model is illustrated on a geostationary transfer orbit to geostationary orbit transfer, including up to 486 revolutions.

Fields of Study & Subjects

Spacecraft Dynamics and Control Space Satellite Systems and Control Advanced Optimization Algorithms Research

Publication details

Journal / source
Journal of Guidance Control and Dynamics
Volume
49
Issue
5
Pages
1332–1347
Publication date
9 February 2026
Language
EN