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面向海洋勘测的多水下机器人编队跟踪控制研究 被引量:1

Research on formation-tracking control of Multi-AUV systems for ocean survey
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摘要 本文研究面向海洋勘测任务的多水下机器人系统编队跟踪控制分析和设计问题。首先,以有向图为工具,建立水下机器人之间的信息交互模型,并利用局部相邻个体的信息构建了基于一致性的协议。然后,提出多水下机器人系统实现编队跟踪控制的充分条件。通过分析证明,若期望的编队满足给定条件,则多水下机器人系统可实现预定义的编队队形。此外,通过将编队控制协议增益矩阵计算转化为代数黎卡提方程求解问题,给出了一种确定编队控制协议矩阵的新方法。最后,通过数值模拟验证了所提方法的有效性。 Formation control analysis and design problems for multiple Autonomous Underwater Vehicle(multi-AUV)systems for ocean survey are investigated in this paper.First,using directed graph as a tool,the information model between AUVs is established,and a consensus based protocol is constructed using local neighboring information.Then,sufficient conditions for multi-AUV systems to achieve time-varying formation tracking are presented.It is obtained that the predefined time-varying formation can be achieved by multi-AUV systems if the given time-varying formation meets the conditions.Moreover,by transforming the calculation of formation control protocol gain matrix into the solution of algebraic Riccati equation,a new method for determining formation control protocol matrix is given.Finally,numerical simulations are provided to demonstrate the effectiveness of the theoretical results.
作者 闫勋 廖宇辰 贾晋军 姜大鹏 颜家杰 YAN Xun;LIAO Yu-chen;JIA Jin-jun;JIANG Da-peng;YAN Jia-jie(School of Ocean Engineering and Technology,Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Sun Yat-Sen University,Zhuhai 519000,China)
出处 《舰船科学技术》 北大核心 2024年第1期102-108,共7页 Ship Science and Technology
基金 国家自然科学基金青年基金资助项目(52101379) 广东省自然科学基金面上项目(2021A1515012134)。
关键词 编队跟踪控制 一致性算法 黎卡提方程 多水下机器人 formation tracking control consensus algorithm Riccati equation multi-AUV
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  • 1Luo X L, Han N N and Guan X P 2010 Chin. Phys. B 19 100202.
  • 2Tan F X, Guan X P and Liu D R 2008 Chin. Phys. B 17 3531.
  • 3Hu J P and Yuan H W 2009 Chin. Phys. B 18 3777.
  • 4Ma S M, Wang R C and Ye N 2013 Int. J. Sensor Networks 13 76.
  • 5Arredondo T V, Fretmd W, Navarro G N and Castillo P 2013 Int. J. Adv. Robot. Syst. 10 1.
  • 6Yan J, Guan X P and Luo X Y 2011 Chin. Phys. B 20 018901.
  • 7Huang H, Yu C B and Wu Q H 2012 Int. J. Robust Nonlinear 23 765.
  • 8Sadowska A, Van T, Huijberts H, Van N, Kostic D and Nijmeijer H 2011 Int. J. Control 84 1886.
  • 9Ren W 2008 European Journal of Control 14 93.
  • 10Li H, Lin P and Zhang C X 2008 Chin. Phys. B 17 4458.

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