期刊文献+

基于最优控制的海上多目标船避碰研究 被引量:7

Collision avoidance control of multi-ships on sea based on optimal control
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摘要 为解决海上多目标船自动避碰问题,支持船舶智能避碰决策,根据最优控制通用方法,以船舶运动方程为系统状态方程,最终量化指标为目标函数,避碰过程中及其结束后对船舶运动状态的规定为约束,建立海上开阔水域多目标船避碰最优控制模型。采用广义梯度方法求解该模型。设计并完成限定约束条件下的多船避碰仿真试验。仿真试验结果表明,在开阔静水面条件下,整个避碰过程都以允许的最短距离和船舶安全领域为船舶避碰约束,能够实现多船避碰。 In order to solve the problem of automatic collision avoidance of multi-target ships at sea and support ship intelligent collision avoidance decision making, an optimal control model was built for colli- sion avoidance multi-target ships in an open marine area. For building the model, ship motion equations were taken as system of equations of state, ship collision avoidance final quantitative targets as objective function, ship motion state in process of collision avoidance and ship motion state at end of collision avoid- ance as constraints. The model was solved by generalized gradient method. A simulation test was designed and carried out for multi-ship collision avoidance under a defined constraint condition. The result of test simulation shows that shortest path is goal at whole process of collision avoidance, and ship security zone is constraints during collision avoidance, multi-ship collision can be avoidable under condition that both allowable shortest distance and ship safe zone are taken as constraints in whole process of collision avoidance.
出处 《中国安全科学学报》 CAS CSCD 北大核心 2014年第1期15-21,共7页 China Safety Science Journal
基金 国家自然科学基金资助(51379170) 中央高校基本科研业务费专项资金资助(2012-IV-027) 国家船舶工业重点科技项目(综合船桥系统研究)
关键词 最优控制 多目标船 避碰控制 船舶运动方程 广义梯度 决策辅助 optimal control multi-ships collision avoidance control equation of ship motion generalized gradient method decision support
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参考文献16

  • 1张杏谷,郑佳春.船载导航仪器信息融合的研究[J].仪器仪表学报,2005,26(3):306-308. 被引量:8
  • 2郝燕玲,刘宇宏,孙枫,孙尧.航海避碰智能系统[J].中国工程科学,2000,2(3):48-53. 被引量:3
  • 3Statheros T, Howells G, Maier K M D. Autonomous ship collision avoidance navigation concepts, technologies and tech- niquesEJ]. Journal of Navigation, 2008, 61(1): 129 - 134.
  • 4Iijima Y, I-Iagiwara H, Kasai H. Results of collision avoidance manoeuvre experiments using a knowledge-based autono- mous piloting system[J]. Journal of Navigation, 1991, 44(2): 194 -204.
  • 5Tam C K, Bucknall R, Greig A. Review of collision avoidance and path planning methods for ships in close range encoun- ters[J]. Journal of Navigation, 2009, 62(3): 455.
  • 6Perera L P, Carvalho J P, Soares C G. Fuzzy logic based decision making system for collision avoidance of ocean naviga- tion under critical collision conditions[J]. Journal of Marine Science and Technology, 2011, 16(1 ) : 84 -99.
  • 7李丽娜,杨神化,熊振南,索永峰,陈国权,王俊玲.船舶拟人智能避碰决策理论框架的研究[J].中国航海,2009,32(2):30-34. 被引量:23
  • 8张捍东,郑睿,岑豫皖.移动机器人路径规划技术的现状与展望[J].系统仿真学报,2005,17(2):439-443. 被引量:120
  • 9杨盐生.船舶避碰动态系统数学模型的研究[J].大连海事大学学报,1995,21(1):30-36. 被引量:7
  • 10Ogawa A, Kasai H. On the mathematical model of manoeuvring motion of ship[J]. International Shipbuilding Progress, 1978, 25(1) :306 -319.

二级参考文献58

  • 1王军,袁军,黄心汉.基于轴向力的寻孔策略研究[J].机器人,1996,18(1):11-15. 被引量:2
  • 2马兆青,袁曾任.基于栅格方法的移动机器人实时导航和避障[J].机器人,1996,18(6):344-348. 被引量:91
  • 3李丽娜,杨神化,尹勇.船舶自动避碰仿真平台的构建与测试方法研究[J].中国航海,2006,29(3):47-50. 被引量:13
  • 4Shenhua Yang,et al.ECDIS Based Decision-Making System for Vessel Automatic Collision Avoidance on Restricted Water Area[C]//Proceedings of The 6th World Congress on Intelligent Control and Automation,2006(9):7118-7122.
  • 5Shenhua Yang,et al.Study on Decision-making Support System for Vessel Automatic Anti-grounding and Anti-reef[C]//Proceedings of The First International Conference of Transportation Engineering.2007,07:2356-2361.
  • 6Li li-na,Chen cong-gui Research on Multi-ship Anticollision Intelligent Method (ACIM) At Widely Area[C]//The Proceeding of anti-collision conference'96,Chiavari Publishing,1996,6:606-609.
  • 7Georgr F.Luger.Artifical Intelligence:Structure and Strategies for Complex Problem Solving[M].Pearson Education.2002.
  • 8李士勇.模糊控制神经控制与智能控制论[M].哈尔滨:哈尔滨工业大学出版社,1999..
  • 9李强 林良明 颜国正.基于进化的移动机器人路径规划方法[C]..Proceedings of the 3rd world congress on intelligent control and automation [C].Hefei,China,2000,28(2).1206-1209.
  • 10Sugihara K, Suzuki I. Distributed algorithms for formation of geometric Patterns with many mobile robots [J]. J Robotics System, 1996, (3): 127-139.

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