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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Fast Generation of Optimal Asteroid Landing Trajectories Using Deep Neural Networks
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Fast Generation of Optimal Asteroid Landing Trajectories Using Deep Neural Networks

机译：利用深神经网络快速产生最佳小行星着陆轨迹

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摘要

To improve the autonomy and reliability of asteroid landings, an intelligent approach to fast and reliable generation of optimal landing trajectories is proposed. Unfortunately, the indirect methods require good initial guesses for shootings. To address this issue, deep neural networks (DNNs) are developed to approximate the costates of the indirect methods and supply good initial solutions to achieve high success rate of shootings. This article focuses on the following three contributions. First, the original asteroid landing problems are connected with two-dimensional (2-D) asteroid-free transfer problems using model continuation and state transformation techniques. Second, DNNs are developed and optimized to approximate the costates of the 2-D transfers with high accuracy. Third, a systematical solution for asteroid landing trajectory optimization is developed, wherein the DNNs provide good initial solutions, and the accurate solutions for landings are obtained through a solution continuation process. Additionally, an alternative solution supplying strategy based on error statistics of DNN approximation is presented to take over the solution supplying when the predictions of DNNs fail to converge to the optima. Evaluations of the DNNs for solution supplying and simulations of landings on 433 Eros and 101955 Bennu are given to substantiate the effectiveness of the proposed techniques and demonstrate the performance of the developed algorithm.
机译：提出了提高小行星着陆的自主权和可靠性，提出了一种快速可靠的最佳着陆轨迹的智能方法。不幸的是，间接方法需要对枪击事件的良好初始猜测。为了解决这个问题，开发了深度神经网络（DNN）以近似间接方法的成本，并提供良好的初始解决方案，以实现高级枪击率。本文重点介绍以下三项贡献。首先，使用模型延续和状态转换技术，原始的小行星着陆问题与二维（2-D）无小行星传递问题连接。其次，开发和优化的DNN以高精度地近似2-D转移的售价。第三，开发了用于小行星着陆轨迹优化的系统解决方案，其中DNN提供了良好的初始解决方案，通过解决方案延续过程获得了对着陆的准确解决方案。另外，呈现基于DNN近似的误差统计的替代解决方案提供策略，以接管当DNN的预测无法收敛到OPTOMA时，接管解决方案。给出了433 EROS和101955 Bennu对433ERO和101955 Bennu的溶液供应和仿真的评估，以证实提出的技术的有效性，并证明了发达算法的性能。

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