期刊文献+

不同通信定位方式下AUV编队智能控制方法综述 被引量:1

Intelligent Control Method for AUV Formation under Different Communication and Positioning Methods:A Review
下载PDF
导出
摘要 综述了国内外自主水下航行器(AUV)在光学和声学2种不同通信定位方式下的编队智能控制方法。首先,归纳了AUV编队的基础模型,这些模型是考虑通信定位约束时智能控制方法设计的基础。其次,针对光学与声学2种通信定位方式,归纳了考虑通信定位约束时的技术难点和智能控制方法,并对研究成果进行了总结。最后,对AUV编队智能控制的发展趋势进行了分析和探讨。可为AUV编队智能控制方法的设计提供参考,对AUV编队的理论研究和工程化应用具有借鉴意义。 The formation of intelligent control methods for autonomous undersea vehicles(AUVs)under two different communication and positioning methods of optics and acoustics are reviewed.First,the fundamental models of AUV formations,which are the basis for the design of intelligent control methods when considering communication and positioning constraints,are summarized.Second,the technical difficulties and intelligent control methods considering the communication and positioning constraints along with the research results are summarized for the optical and acoustic communication and positioning methods.Finally,the development trend of AUV formation intelligent control is analyzed and discussed.The findings presented in this paper can provide a reference for the design of AUV formation intelligent control methods and has reference significance for the theoretical research and engineering application of AUV formation.
作者 俞建成 陈阔 张进 YU Jian-cheng;CHEN Kuo;ZHANG Jin(State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《水下无人系统学报》 2023年第1期30-37,共8页 Journal of Unmanned Undersea Systems
基金 国家自然科学基金资助(62273340,51909257) 辽宁省自然科学基金资助(2021-MS-031).
关键词 自主水下航行器 智能控制方法 光学通信定位 声学通信定位 autonomous undersea vehicle intelligent control method optical communication and positioning acoustic communication and positioning
  • 相关文献

参考文献8

二级参考文献30

  • 1彭学伦.水下机器人的研究现状与发展趋势[J].机器人技术与应用,2004(4):43-47. 被引量:66
  • 2徐玉如,庞永杰,甘永,孙玉山.智能水下机器人技术展望[J].智能系统学报,2006,1(1):9-16. 被引量:123
  • 3亚斯特列鲍夫 B C,等.水下机器人[M].北京:海洋出版社,1984.
  • 4梁霄,徐玉如,李晔,万磊,秦再白.基于目标规划的水下机器人模糊神经网络控制[J].中国造船,2007,48(3):123-127. 被引量:5
  • 5HAGEN P E, STcRKERSEN N. Rapid environmental as- sessment with autonomous underwater vehicles-examples from hugin operations[J]. Marine System, 2008(69) :137- 145.
  • 6HAGEN O K, ANONSEN K B, MANDT M. The hugin real- time terrain navigation system [ C ]// 2010 MTS/IEEE O- ceans Seattle, USA, 2010: 1-7.
  • 7HAGEN P E, MIDTGAARD O, HASVOLD O. Making AU- Vs "truly autonomous", in underwater vehicles [ C ] // 1- Tech Eduealion and Publishing.Vienna, Austria, 2009:1-6.
  • 8HAGEN P E. AUV/UUV mission planning and real time control with the Hugin operator system [ C]//2001 MTS/ IEEE Oceans. Honolulu, USA, 2001: 5-8.
  • 9OLIVEIRA P, PASCOAL A, SILVA V, et al. Mission con- trol of the MARIUS AUV: system design, implementation, and sea trials [ J ]. International Journal of Systems Science, 1998, 9(10) : 1065-1080.
  • 10BIZINGRE C, OLIVEIRA P, PASCOAL A, et al. Design of a mission management system for the AUV MARIUS [ C ]/! Proceedings of the 1994 Symposium on AUV. Cambridge, USA, 1994: 112-121.

共引文献176

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部