智能弹群协同任务规划技术进展与展望

doi:10.3981/j.issn.2097-0781.2022.04.002

前瞻科技 ›› 2022, Vol. 1 ›› Issue (4): 18-39.DOI: 10.3981/j.issn.2097-0781.2022.04.002

智能弹群协同任务规划技术进展与展望

龙腾¹^,²(), 徐广通³, 曹严¹^,², 周健⁴, 王祝⁵, 孙景亮¹^,²

1.北京理工大学宇航学院，北京 100081
2.飞行器动力学与控制教育部重点实验室，北京 100081
3.清华大学精密仪器系，北京 100084
4.西安现代控制技术研究所，西安 710065
5.华北电力大学自动化系，保定 071003

收稿日期:2022-10-24 修回日期:2022-11-16 出版日期:2022-12-20 发布日期:2023-01-17
作者简介:龙腾，北京理工大学长聘教授，博士研究生导师，国家“万人计划”青年拔尖人才。北京理工大学宇航学院党委书记兼常务副院长；中国宇航学会副秘书长、中国航空教育学会常务理事、“飞行器动力学与控制”教育部重点实验室主任、中央军委科学技术委员会某飞行器主题专家组成员、某集群装备项目副总设计师；中国兵工学会火箭导弹专业委员会委员、中国宇航学会飞行器任务规划专业委员会委员、中国指挥与控制学会集群智能与协同控制专业委员会委员；《北京理工大学学报》《战术导弹技术》《指挥与控制学报》、Space: Science & Technology等期刊编委。长期从事飞行器多学科设计优化、集群协同规划控制、跨域智能飞行器等领域的理论研究与技术攻关。获中国兵工学会青年科技奖、国防技术发明奖二等奖、航空科学基金优秀成果奖、中国机械工程学会优秀论文奖、CJA高影响力论文奖等。发表论文100余篇，获授权发明专利25项。电子信箱：tenglong@bit.edu.cn。
基金资助:
国家自然科学基金(61903033);国家自然科学基金(62003036);国家自然科学基金(52272360);国家自然科学基金(52005288)

Review and Prospect on Cooperative Mission Planning Technology of Intelligent Munition Swarms

LONG Teng¹^,²(), XU Guangtong³, CAO Yan¹^,², ZHOU Jian⁴, WANG Zhu⁵, SUN Jingliang¹^,²

1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
2. Key Laboratory of Dynamics and Control of Flight Vehicle, Ministry of Education, Beijing 100081, China
3. Department of Precision Instrument, Tsinghua University, Beijing 100084, China
4. Xi’an Modern Control Technology Research Institute, Xi’an 710065, China
5. Department of Automation, North China Electric Power University, Baoding 071003, China

Received:2022-10-24 Revised:2022-11-16 Online:2022-12-20 Published:2023-01-17

摘要/Abstract

摘要：

任务规划技术是智能弹群遂行作战任务，实现协同作战，提升弹群自主化、智能化水平的重要技术保障。文章总结了智能弹群协同任务规划技术内涵与特点；从技术划代、项目验证、理论方法、软硬件环境及验证方法等方面，系统梳理弹群协同任务规划技术发展历程与现状。面向智能弹群实战化任务需求，重点从理论算法、自主可控软硬件、验证平台等方面，分析总结了弹群协同任务规划技术当前面临的挑战与未来研究方向。最后，提出了中国智能弹群协同任务规划技术的发展建议。

关键词: 智能弹群, 任务分配, 航迹/轨迹规划, 试验验证, 协同作战

Abstract:

Mission planning technology provides a vital technical support for intelligent munition swarms to successfully perform operational missions, accomplish cooperative operations, and promote the autonomy and intelligence of munition swarms. This paper summarizes the technical connotation and characteristics of cooperative mission planning technology of intelligent munition swarms and systematically reviews the development history and status of the technology from several perspectives, such as technology generation, project verification, theoretical methods, software/hardware environments, and verification methods. Then, according to task requirements of intelligent munition swarms for actual combat, the current technical challenges and the future research directions concerning the cooperative mission planning technology of munition swarms are discussed in terms of theoretical algorithms, autonomous and controllable software/hardware, and test platforms. Finally, some development suggestions on cooperative mission planning technology of intelligent munition swarms in China are given.

Key words: intelligent munition swarms, task allocation, path/trajectory planning, experimental verification, cooperative operation

龙腾, 徐广通, 曹严, 周健, 王祝, 孙景亮. 智能弹群协同任务规划技术进展与展望[J]. 前瞻科技, 2022, 1(4): 18-39.

LONG Teng, XU Guangtong, CAO Yan, ZHOU Jian, WANG Zhu, SUN Jingliang. Review and Prospect on Cooperative Mission Planning Technology of Intelligent Munition Swarms[J]. Science and Technology Foresight, 2022, 1(4): 18-39.

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机载规划端机	性能参数	机载规划端机	性能参数
英伟达 Jetson TX1	GPU: 256 CUDA Cores CPU: 4-core RAM:4 GB	英特尔 Aero	CPU: Atom RAM: 4 GB
英伟达 Jetson TX2	GPU: 256 CUDA Cores CPU: 2-core, 4-core RAM: 4 GB	英特尔 Edison	CPU: Atom 2-core RAM: 1 GB
大疆妙算	CPU: 4-core RAM: 2 GB	哈德凯尔 ODROID-XU4	CPU: 4-core RAM: 2 GB
大疆妙算2	Processor: NVIDIA Jetson TX2 RAM: 8 GB	高通 Flight Pro	CPU: 4-core RAM: 2 GB
英特尔 NUC	CPU: Core i3~i7 RAM: 8 GB, 16 GB	树莓派 4B	CPU: 4-core RAM: 4 GB, 8 GB

机载规划端机	性能参数	机载规划端机	性能参数
英伟达 Jetson TX1	GPU: 256 CUDA Cores CPU: 4-core RAM:4 GB	英特尔 Aero	CPU: Atom RAM: 4 GB
英伟达 Jetson TX2	GPU: 256 CUDA Cores CPU: 2-core, 4-core RAM: 4 GB	英特尔 Edison	CPU: Atom 2-core RAM: 1 GB
大疆妙算	CPU: 4-core RAM: 2 GB	哈德凯尔 ODROID-XU4	CPU: 4-core RAM: 2 GB
大疆妙算2	Processor: NVIDIA Jetson TX2 RAM: 8 GB	高通 Flight Pro	CPU: 4-core RAM: 2 GB
英特尔 NUC	CPU: Core i3~i7 RAM: 8 GB, 16 GB	树莓派 4B	CPU: 4-core RAM: 4 GB, 8 GB

智能弹群协同任务规划技术进展与展望

Review and Prospect on Cooperative Mission Planning Technology of Intelligent Munition Swarms

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