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Mars atmospheric entry trajectory optimization via particle swarm optimization and Gauss pseudo-spectral method

机译:通过粒子群优化和高斯伪谱法优化火星大气进入轨迹

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摘要

In this paper, a hybrid optimization strategy using particle swarm optimization and Gauss pseudo-spectral method is proposed to generate the optimal entry trajectory of Mars pin-point landing mission. This hybrid optimization strategy merges global optimization with local optimization. Coarse optimization is first conducted to provide a global relative suitable initial guess for subsequent local accurate optimization, which can greatly improve optimization efficiency and robustness and produce the optimal Mars atmospheric entry trajectory from the present position to the designed terminal state satisfying the path constraints. The validity of the hybrid optimization strategy developed in this paper is confirmed by computer simulation in the presence of aerodynamics uncertainties.
机译:提出了一种基于粒子群算法和高斯伪谱法的混合优化策略,以生成火星精确定点登陆任务的最优进入轨迹。这种混合优化策略将全局优化与局部优化合并在一起。首先进行粗略优化,以便为随后的局部精确优化提供全局相对合适的初始猜测,这可以大大提高优化效率和鲁棒性,并产生从当前位置到满足路径约束的设计终端状态的最佳火星大气进入轨迹。在存在空气动力学不确定性的情况下,通过计算机仿真证实了本文开发的混合优化策略的有效性。

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