翼伞系统自主归航的关键技术研究综述
2024,46(4):1-15
孙青林
南开大学 人工智能学院, 天津 300350，sunql@nankai.edu.cn
杨金山
南开大学 人工智能学院, 天津 300350
孙昊
南开大学 人工智能学院, 天津 300350
陈增强
南开大学 人工智能学院, 天津 300350
南开大学 人工智能学院, 天津 300350，sunql@nankai.edu.cn
杨金山
南开大学 人工智能学院, 天津 300350
孙昊
南开大学 人工智能学院, 天津 300350
陈增强
南开大学 人工智能学院, 天津 300350
摘要：
探究翼伞系统的建模、航迹规划和轨迹跟踪控制三项关键技术,以支撑翼伞系统的自主归航在大规模装备空投补给、运载火箭助推器回收和自然灾难救援等场合的广阔应用前景。通过调研国内外翼伞系统的发展,对其三项关键技术的基本原理、常用方法和前沿技术进行对比分析和归纳概括,重点包括翼伞系统在复杂环境下的柔性建模技术和障碍空间内的航迹规划技术以及基于智能控制策略的轨迹跟踪技术。对翼伞系统自主归航关键技术的未来发展趋势进行总结和展望,有助于对翼伞系统的自主归航研究形成总体性认知并掌握其发展动向,将对后续翼伞系统自主归航的研究具有启示作用和借鉴价值
探究翼伞系统的建模、航迹规划和轨迹跟踪控制三项关键技术,以支撑翼伞系统的自主归航在大规模装备空投补给、运载火箭助推器回收和自然灾难救援等场合的广阔应用前景。通过调研国内外翼伞系统的发展,对其三项关键技术的基本原理、常用方法和前沿技术进行对比分析和归纳概括,重点包括翼伞系统在复杂环境下的柔性建模技术和障碍空间内的航迹规划技术以及基于智能控制策略的轨迹跟踪技术。对翼伞系统自主归航关键技术的未来发展趋势进行总结和展望,有助于对翼伞系统的自主归航研究形成总体性认知并掌握其发展动向,将对后续翼伞系统自主归航的研究具有启示作用和借鉴价值
基金项目：
国家自然科学基金资助项目(61973172,62003177,61973175)；天津市研究生科研创新基金资助项目(2022BKYZ048)
国家自然科学基金资助项目(61973172,62003177,61973175)；天津市研究生科研创新基金资助项目(2022BKYZ048)
Review of key technologies for autonomous homing of parafoil systems
SUN Qinglin
College of Artificial Intelligence, Nankai University, Tianjin 300350, China,sunql@nankai.edu.cn
YANG Jinshan
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
SUN Hao
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
CHEN Zengqiang
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
College of Artificial Intelligence, Nankai University, Tianjin 300350, China,sunql@nankai.edu.cn
YANG Jinshan
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
SUN Hao
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
CHEN Zengqiang
College of Artificial Intelligence, Nankai University, Tianjin 300350, China
Abstract：
In order to explore the key technologies of parafoil systems, including modeling, trajectory planning, and trajectory tracking control, to support their autonomous homing in wide application prospects in large-scale equipment airdrop replenishment, carrier rocket booster recovery, and natural disaster rescue applications. Through research on the development of parafoil systems both domestically and internationally, a comparative analysis and summary of the basic principles, commonly used methods, and cutting-edge technologies of the three key technologies were conducted, with a focus on the flexible modeling technology of parafoil systems in complex environments, trajectory planning technology in obstacle spaces, and trajectory tracking technology based on intelligent control strategies. A summary and outlook were made on the future development trends of key technologies for autonomous homing of parafoil systems, which can help researchers gain a comprehensive understanding of the research progress and development trends in autonomous homing of parafoil systems, and provide inspiration and reference value for further research in this area.
In order to explore the key technologies of parafoil systems, including modeling, trajectory planning, and trajectory tracking control, to support their autonomous homing in wide application prospects in large-scale equipment airdrop replenishment, carrier rocket booster recovery, and natural disaster rescue applications. Through research on the development of parafoil systems both domestically and internationally, a comparative analysis and summary of the basic principles, commonly used methods, and cutting-edge technologies of the three key technologies were conducted, with a focus on the flexible modeling technology of parafoil systems in complex environments, trajectory planning technology in obstacle spaces, and trajectory tracking technology based on intelligent control strategies. A summary and outlook were made on the future development trends of key technologies for autonomous homing of parafoil systems, which can help researchers gain a comprehensive understanding of the research progress and development trends in autonomous homing of parafoil systems, and provide inspiration and reference value for further research in this area.
收稿日期：
2023-02-21
2023-02-21
