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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    Title :

    A Genetic Algorithm Based Approach for Satellite Autonomy


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Published in:

    Intelligent Computing ; Chapter : 68 ; 967-975


    Publication date :

    2021-07-07


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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