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首页> 外文期刊>Celestial Mechanics and Dynamical Astronomy >Optimal two-impulse rendezvous using constrained multiple-revolution Lambert solutions
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Optimal two-impulse rendezvous using constrained multiple-revolution Lambert solutions

机译:约束多重旋转朗伯解的最优两脉冲交会

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摘要

A solution to the fixed-time minimum-fuel two-impulse rendezvous problem for the general non-coplanar elliptical orbits is provided. The optimal transfer orbit is obtained using the constrained multiple-revolution Lambert solution. Constraints consist of lower bound for perigee altitude and upper bound for apogee altitude. The optimal time-free two-impulse transfer problem between two fixed endpoints implies finding the roots of an eighth order polynomial, which is done using a numerical iterative technique. The set of feasible solutions is determined by using the constraints conditions to solve for the short-path and long-path orbits semimajor axis ranges. Then, by comparing the optimal time-free solution with the feasible solutions, the optimal semimajor axis for the two fixed-endpoints transfer is identified. Based on the proposed solution procedure for the optimal two fixed-endpoints transfer, a contour of the minimum cost for different initial and final coasting parameters is obtained. Finally, a numerical optimization algorithm (e.g., evolutionary algorithm) can be used to solve this global minimization problem. A numerical example is provided to show how to apply the proposed technique.
机译:提供了一种针对一般非共面椭圆轨道的固定时间最小燃料两脉冲交会问题的解决方案。使用约束的多转朗伯解决方案可以获得最佳的传输轨道。约束包括近地点高度的下限和远地点高度的上限。两个固定端点之间的最佳无时间两脉冲传递问题意味着找到八阶多项式的根,这是使用数值迭代技术完成的。通过使用约束条件来求解短路径和长路径轨道的半长轴范围,确定可行解的集合。然后,通过将最佳无时间解与可行解进行比较,确定了两个固定端点传输的最佳半长轴。基于最佳两个固定端点传输的建议解决方案,获得了不同初始和最终惯性滑行参数的最小成本轮廓。最后,可以使用数值优化算法(例如,进化算法)来解决该全局最小化问题。提供了一个数值示例来说明如何应用所提出的技术。

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