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以燃料消耗量最小和飞越小行星最多为性能指标,对多目标连续小推力深空探测器轨道优化,给出了一种组合优化算法。该组合优化算法由全局优化和局部优化组成。全局优化为粗略设计,首先,利用动态规划法全局优化来确定探测系列,即确定从地球出发依次探索的各个小行星以及时间节点;利用静态参数优化算法(即穷举法),在一个大的搜索空间内全面搜索每段飞行轨道的发射窗口,同时,得到每段轨道次优飞行轨道及次优的控制律。然后利用共轭梯度法局部优化来求解每段轨道两点边值问题,获得最优的飞行轨道及最优的控制律。
In order to minimize the fuel consumption and fly asteroids at most, a combinatorial optimization algorithm is proposed for the trajectory optimization of a multi-target continuous small thrust deep space probe. The combinatorial optimization algorithm consists of global optimization and local optimization. The global optimization is a rough design. First, the global optimization of the dynamic programming method is used to determine the probing series, that is, to determine the asteroids and time nodes explored in turn from the earth. By using the static parameter optimization algorithm (ie, exhaustive method) In the search space, the launch window of each flight path is searched comprehensively, and at the same time, the suboptimal flight path and suboptimal control law of each track are obtained. Then the local optimization of conjugate gradient method is used to solve the two-point boundary value problem of each track, and the optimal flight path and the optimal control law are obtained.