Abstract
Autonomous spacecraft maneuver planning using an evolutionary computing approach is investigated. Simulated satellites were placed into four different initial orbits. Each was allowed a string of thirty delta-v impulse maneuvers in six cartesian directions, the positive and negative x, y and z directions. The goal of the spacecraft maneuver string was to, starting from some non-polar starting orbit, place the spacecraft into a polar, low eccentricity orbit. A genetic algorithm was implemented, using a mating, fitness, mutation and crossover scheme for impulse strings. The genetic algorithm was successfully able to produce this result for all the starting orbits. Performance and future work is also discussed.
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Sikka, S., Sikka, H. (2021). A Genetic Algorithm Based Approach for Satellite Autonomy. In: Arai, K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_68
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DOI: https://doi.org/10.1007/978-3-030-80126-7_68
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