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小行星探测日渐成为深空探测领域的一个研究热点。考虑小行星Kepler轨道以及小推力航天器的特点,从能量和相位的角度推导出多颗小行星探测顺序的确定准则,并利用优化算法对航天器的飞行轨迹进行了全局优化设计。算法在满足约束条件的前提下,使得航天器剩余质量与飞行时间的比值达到最大,并通过数值仿真算例验证了算法的可行性。结果表明:该算法综合利用遗传算法和局部优化算法具有精度高、计算简单的特点,可用于小行星探测的轨迹优化设计问题。
Asteroid exploration has become a hot area of deep space exploration. Considering the characteristics of the Kepler orbit and the small thrust spacecraft, the determination criteria of multi-asteroid exploration sequence are deduced from the energy and phase angles. The optimization algorithm is used to optimize the orbit of the spacecraft. Under the premise of satisfying the constraints, the algorithm maximizes the ratio of spacecraft remaining mass to flight time. The numerical simulation shows that the algorithm is feasible. The results show that this algorithm has the advantages of high precision and simple calculation by comprehensive utilization of genetic algorithm and local optimization algorithm. It can be used in trajectory optimization design of asteroid exploration.