综合多约束制导和避让穿透的统一智能控制策略

IF 7.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Science China Information Sciences Pub Date : 2024-06-14 DOI:10.1007/s11432-022-4063-x

Sibo Zhao, Jianwen Zhu, Weimin Bao, Xiaoping Li

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引用次数: 0

摘要

我们提出了一种智能控制策略，可综合优化制导和 SAC、制导和 NFZs 规避任务，实现高精度和低能量损耗。通过引入预测方法计算终端状态并增加过程奖励，提高了训练效率。通过改进训练过程，学习到的策略在动态 NFZ 问题上具有很强的普适性，表明其在飞行任务中具有更高的适用性和灵活性。

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A unified intelligent control strategy synthesizing multi-constrained guidance and avoidance penetration

We propose an intelligent control strategy that synthesizes optimal guidance and SAC, guidance and NFZs avoidance missions are realized with high precision and low energy loss. The training efficiency is enhanced by introducing a prediction method to calculate the terminal states and adding process rewards. By improving the training process, the learned strategy has a strong generalization on problems of dynamic NFZs, indicating higher applicability and flexibility in flight missions.

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来源期刊

Science China Information Sciences COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

12.60

自引率

5.70%

发文量

224

审稿时长

8.3 months

期刊介绍： Science China Information Sciences is a dedicated journal that showcases high-quality, original research across various domains of information sciences. It encompasses Computer Science & Technologies, Control Science & Engineering, Information & Communication Engineering, Microelectronics & Solid-State Electronics, and Quantum Information, providing a platform for the dissemination of significant contributions in these fields.