水面无人艇多船障碍智能避碰

茅云生,宋利飞,向祖权,周永清,茅普修,闫 钊

大连海事大学学报 ›› 2015, Vol. 41 ›› Issue (4) : 8-13.

PDF(775 KB)
PDF(775 KB)
大连海事大学学报 ›› 2015, Vol. 41 ›› Issue (4) : 8-13.
船舶与海洋工程

水面无人艇多船障碍智能避碰

  • 茅云生*a,b,宋利飞a,b,向祖权a,b,周永清a,b,茅普修a,闫  钊a,b
作者信息 +

Multi-obstacle intelligent collision avoidance strategy for unmanned surface vehicle

  • MAO Yun-sheng*a,b,SONG Li-fei a,b, XIANG Zu-quan a,b, ZHOU Yong-qing a,b, MAO Pu-xiu a, YAN Zhaoa,b
Author information +
文章历史 +

摘要

为尽可能在无人艇避碰规划时兼顾《国际海上避碰规则公约》,提出对障碍船进行符合《公约》的偏心膨胀,对偏心膨胀建立统一的运动模型. 为实现宽阔水域的水面无人艇多船障碍智能避碰,提出基于避障紧迫程度、安全性预测以及调整可行性的模糊规划方法.对同时具有对遇、交叉及追越情况的多个复杂运动障碍进行避碰规划仿真,结果证明了该方法的智能性.

Abstract

To take the Convention on the International Regulations for Preventing Collisions at Sea(COLREGS)into account in planning for obstacle avoidance of unmanned surface vehicle(USV), this paper presented the rule of eccentric expansion accord with COLREGS. To reduce the ship collision occurrence and achieve multiship collision avoidance in broad areas, a fuzzy programming method based on urgency, security and feasibility of planning was put forward. Example simulation consists of multiship including different collision situation, which shows the intelligence of the proposed method.

关键词

无人艇(USV) / 多船障碍 / 智能避碰 / 国际海上避碰规则(COLREGS)

Key words

unmanned surface vehicle(USV) / multi-ship obstacle / intelligent collision avoidance / Convention on the International Regulations for Preventing Collisions at Sea(COLREGS)

引用本文

导出引用
茅云生,宋利飞,向祖权,周永清,茅普修,闫 钊. 水面无人艇多船障碍智能避碰[J]. 大连海事大学学报. 2015, 41(4): 8-13
MAO Yun-sheng*a,b,SONG Li-fei,XIANG Zu-quan,ZHOU Yong-qing,MAO Pu-xiu,YAN Zhao. Multi-obstacle intelligent collision avoidance strategy for unmanned surface vehicle[J]. Journal of Dalian Maritime University. 2015, 41(4): 8-13

参考文献

[1]薛彦卓,魏伊,孙淼.基于避碰重点船算法的多船避碰模拟[J].大连海事大学学报,2014,40(1):13-16.
XUE Yan-zhuo,WEI Yi,SUN Miao.Simulation of multi-ship collision avoidance with avoidance key ship algorithm[J].Journal of Dalian Maritime University,2014,40(1):13-16.(in Chinese)
[2]ABU-TAIR M, NAEEM W.A decision support framework for collision avoidance of unmanned maritime vehicles[J].Communications in Computer and Information Science,2013,355:549-557.
[3]COENEN F P, SNEATON G P, BOLE A G. Knowledge-based collision avoidance[J].The Journal of Navigation,1980,42(1):107-116.
[4]郑中义.船舶自动避碰决策系统的研究[D].大连:大连海事大学,2000.
ZHENG Zhong-yi.Research on automatic decision-making system of vessel collision avoidance[D].Dalian:Dalian Maritime University,2000.(in Chinese)
[5]CAMPBELL S,NAEEM W.A rule-based heuristic method for COLREGS-compliant collision avoidance for an unmanned surface vehicle[C]//9th IFAC Conference on Maneuvering and Control of Marine Craft, MCMC 2012 - Proceedings.Arenzano,Italy:[s.n.],2012:386-391.
[6]TAM C K.Collision risk assessment for ships[J].Journal of Marine Science and Technology,2010,15(3):257-270.
[7]TAN A,WONG C W,TAN T J.Criteria and rule based obstacle avoidance for USVs[C]//International Waterside Security Conference,2010.New Nork:IEEE Press,2010.
[8]KUWATA Y, WOLF M T,ZARZHITSKY D,et al.Safe maritime navigation with COLREGS using velocity obstacles[J].IEEE Journal of Oceanic Engineering,2013,39(1):110-119.
[9]KARLSEN J E, KRISTANSEN S.Statistical survey of collisions and groundings for Norwegian ships for the period 1970-78[R].OSLO Norway:[s.n.],1980.
[10]王仁强,赵月林,谢宝峰.船舶动态转向避碰行动数学模型[J],大连海事大学学报,2014,40(1):17-20.
WANG Ren-qiang,ZHAO Yue-lin,XIE Bao-feng.Dynamic mathematical model for collision avoidance by ship steering[J].Journal of Dalian Maritime University,2014,40(1):17-20.(in Chinese)
[11]IMO.International Regulations for Prevention of Collisions at Sea,1972(72 COLREGS)[M].London:IMO,1999.
[12]FIORINI P,SHILLER Z. Motion planning in dynamic environments using velocity obstacles[J].The International Journal of Robotics Research,1998,17(7):759-772.
[13]JING Xing-jian.Behavior dynamics based motion planning of mobile robots in uncertain dynamic environments[J].Robotics and Autonomous Systems,2005(53):99-123.
[14]De FALCO I,Della CIOPPA A,TARANTINO E. Facing classification problems with particle swarm optimization[J].Applied Soft Computing,2007,7(3):652-658.

PDF(775 KB)

Accesses

Citation

Detail

段落导航
相关文章

/