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OPTIMIZATION OF LUNAR SOFT LANDING TRAJECTORY BASED ON HYBRID METHOD

机译:基于混合法的月球软着陆轨迹优化

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Based on the mixed-solving ideas, the fuel optimal lunar soft landing problem can be solved withGauss pseudospectral method(GPM) and the indirect shooting method. Based on the Pontryagin'smaximal principle, the fuel optimal lunar soft landing problem can be simplified as a two pointboundary value problem with variable final time. Gauss pseudospectral method could solve theproblem successfully and get the initial adjoint variables at the same time. And then the two pointboundary value problem was solved by the indirect shooting method with the employment of thecombinational algorithm. The hybrid method combines the advantages of the direct method andindirect method. It avoided guessing the initial value of the adjoint variables and the optimalityconditions were satisfied and the convergence range was wider. The simulation results show that theHybrid Method used for designing the soft landing trajectory gives good performance on steady,efficiency and accuracy, even some practical constraints are under considered.
机译:基于混合求解的思想,可以通过以下方法解决燃料最佳的月球软着陆问题: 高斯伪谱法(GPM)和间接射击法。基于Pontryagin的 最大原理下,燃油最优的月球软着陆问题可以简化为两点 最终时间可变的边值问题。高斯伪谱方法可以解决 成功解决问题,并同时获取初始伴随变量。然后两点 利用间接射击法解决了边值问题。 组合算法。混合方法结合了直接方法的优点和 间接方法。它避免了猜测伴随变量的初始值和最优性 满足条件,收敛范围更广。仿真结果表明 用于设计软着陆轨迹的混合方法可在稳定状态下提供良好的性能, 效率和准确性,甚至一些实际的限制也在考虑之中。

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