An online generation method of ascent trajectory based on feedforward neural networks

Xin Wang; Pei Dai; Xiaoming ChengYunzhao LiuJiashan CuiLihua ZhangDongzhu Feng

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An online generation method of ascent trajectory based on feedforward neural networks

机译：An online generation method of ascent trajectory based on feedforward neural networks

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摘要

With the development of advanced guidance technology and onboard calculation ability, a drawback of poor real-time performance of traditional trajectory optimization methods has emerged. In this paper, a neural network is applied to generate the online ascent trajectory of a solid rocket. With the advantage of its nonlinear mapping capability, the neural network is used to approximate the trajectory computation model to reduce the burden of onboard computation. In particular, according to the different environment characteristics of the atmospheric and exoatmospheric portions, two neural networks (a control-network and a costate-network) are trained offline. The former generates the pitch angle command in real time during the atmospheric portion. The latter provides good initial costate guesses for the indirect method in exoatmosphere, and then the trajectory deviation after flight through the atmosphere is corrected by solving the optimal control of the remaining time online. Finally, numerical simulations are performed to show the effectiveness and robustness of the proposed scheme.

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来源
《Aerospace science and technology》 |2022年第9期|107739.1-107739.15|共15页
作者
Xin Wang; Pei Dai; Xiaoming ChengYunzhao LiuJiashan CuiLihua ZhangDongzhu Feng;
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作者单位

Beijing Aerospace Automatic Institute, Beijing 100854, China;

School of Astronautics, Northwestern Polytechnical University. Xi'an, 710072, China;

School of Aerospace Science and Technology, Xidian University, Xi'an, 710126, China, Key Laboratory of Equipment Efficiency in Extreme Environment, Ministry of Education, Xidian University, Xi'an, 710126, ChinaLunar Exploration and Space Engineering Center, Beijing 100190, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Neural network; Ascent trajectory planning; Costate estimation; Pseudospectral method;

An online generation method of ascent trajectory based on feedforward neural networks

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