论文标题
卫星自治的基于遗传算法的方法
A Genetic Algorithm Based Approach for Satellite Autonomy
论文作者
论文摘要
使用进化算法方法进行了自主航天器操纵计划。将模拟的航天器放入四个不同的初始轨道。允许每个载有六个笛卡尔方向的三十v脉冲动作，即正向和负x，y和z方向。航天器操纵字符串的目标是从一些非极性起始轨道开始，将航天器放置在极性低偏心轨道中。使用交配，健身，突变和跨界方案实施了遗传算法，以进行脉冲字符串。遗传算法能够成功地为所有起始轨道产生这种结果。还讨论了绩效和未来的工作。
Autonomous spacecraft maneuver planning using an evolutionary algorithmic approach is investigated. Simulated spacecraft 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.
