无人水面艇研究现状与发展趋势

doi:10.12066/j.issn.1007-2861.2041

摘要/Abstract

摘要：

无人水面艇(unmanned surface vehicle,USV)是一种在水面进行自主航行的运载平台,属于海洋机器人的一个重要分支, 在军用和民用领域均有广泛的应用前景.由于海洋环境恶劣, 以及无人水面艇运动模型非常特殊(如模型高度非线性、强时滞性和时变性等), 使得较于无人车和无人机等其他无人系统,无人水面艇的研究面临着特殊的挑战.从态势感知、航行规划和导航、控制这 3 个方面总结了无人水面艇的研究现状和主要成果,得出了无人水面艇在国内外不同的发展现状和趋势.最后还对无人水面艇的应用需求进行了分析与展望.

关键词: 无人水面艇, 海洋机器人, 发展趋势

Abstract:

Unmanned surface vehicle (USV), as an important branch of marine robotics, is a vehicle that operates on the surface of the water automatically, and it can be used for a wide range of military and civil purposes. Compared to other unmanned systems like unmanned aerial vehicle, unmanned ground vehicle and etc., research on USV is more challenging because of the harsh ocean environment and the special motion model of USV, such as high nonlinearity, strong time delay and time varying. This paper summarizes the research status and main achievements of unmanned ships from the aspects of situation awareness, path planning and guidance, and control, and it also describes at some length different development trends of unmanned ships at home and abroad. Finally, forecast on the development and application of unmanned ships in the future is made.

Key words: unmanned surface vehicle (USV), marine robotics, development trend

中图分类号:

TP242.6

彭艳, 葛磊, 李小毛, 钟雨轩, 张鑫. 无人水面艇研究现状与发展趋势[J]. 上海大学学报(自然科学版), 2019, 25(5): 645-654.

Yan PENG, Lei GE, Xiaomao LI, Yuxuan ZHONG, Xin ZHANG. Research status and development trend of unmanned surface vehicle[J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(5): 645-654.

图/表 1

参考文献 66

[1]	Huntsberger T, Woodward G . Intelligent autonomy for unmanned surface and underwater vehicles[C]// Oceans. 2011: 1-10.
[2]	Mukhtar A, Xia L, Tang T B . Vehicle detection techniques for collision avoidance systems: a review[J]. IEEE Transactions on Intelligent Transportation Systems, 2015,16(5):2318-2338.
[3]	Fossel J, Hennes D, Claes D , et al. OctoSLAM: a 3D mapping approach to situational awareness of unmanned aerial vehicles[C]// International Conference on Unmanned Aircraft Systems. 2013: 179-188.
[4]	Almeida C, Franco T, Ferreira H , et al. Radar based collision detection developments on USV ROAZ Ⅱ[C]// Oceans. 2009: 1-6.
[5]	Halterman R, Bruch M . Velodyne HDL-64E lidar for unmanned surface vehicle obstacle detection[C]// Proceeding of SPIE, International Society for Optics. 2010.
[6]	Lee S J, Yong S M, Ko N Y , et al. A method for object detection using point cloud measurement in the sea environment[C]// Underwater Technology. 2017: 1-4.
[7]	李小毛, 张鑫, 王文涛 , 等. 基于3D 激光雷达的无人水面艇海上目标检测[J]. 上海大学学报(自然科学版), 2017,23(1):27-36.
[8]	Heidarsson H K, Sukhatme G S . Obstacle detection and avoidance for an autonomous surface vehicle using a profiling sonar[C]// 2011 IEEE International Conference on Robotics and Automation. 2011: 731-736.
[9]	Leedekerken J C, Fallon M F, Leonard J J . Mapping complex marine environments with autonomous surface craft[J]. Springer Tracts in Advanced Robotics, 2014,79:525-539.
[10]	Wolf M T, Assad C, Kuwata Y , et al. 360-degree visual detection and target tracking on an autonomous surface vehicle[J]. Journal of Field Robotics, 2010,27(6):819-833.
[11]	Wang H, Wei Z, Wang S , et al. A vision-based obstacle detection system for unmanned surface vehicle[C]// Robotics, Automation and Mechatronics. 2011: 364-369.
[12]	Wang H, Mou X, Mou W , et al. Vision based long range object detection and tracking for unmanned surface vehicle[C]// International Conference on Cybernetics and Intelligent Systems. 2015: 101-105.
[13]	Wang H, Wei Z . Stereovision based obstacle detection system for unmanned surface vehicle [C]// 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO). 2013: 917-921.
[14]	Hermann D, Galeazzi R, Andersen J C , et al. Smart sensor based obstacle detection for high-speed unmanned surface vehicle[J]. IFAC Proceedings Volumes, 2015,48(16):190-197.
[15]	Lekkas A M . Guidance and path-planning systems for autonomous vehicles[D]. Trondheim: Norwegian University of Science and Technology, 2014.
[16]	Galceran E, Carreras M . A survey on coverage path planning for robotics[J]. Robotics and Autonomous Systems, 2013,61(12):1258-1276.
[17]	Nilsson N J . Principles of artificial intelligence[M]. San Francisco: Morgan Kaufmann, 2014.
[18]	Stentz A . Optimal and efficient path planning for partially-known environments[C]// 2010 IEEE International Conference on Robotics and Automation. 1994: 3310-3317.
[19]	Yang S X, Luo C . A neural network approach to complete coverage path planning[J]. IEEE Transactions on Systems, Man, and Cybernetics, 2004,34(1):718-724.
[20]	Dubins L E . On curves of minimal length with a constraint on average curvature, and with prescribed initial and terminal positions and tangents[J]. American Journal of Mathematics, 1957,79(3):497-516.
[21]	Lekkas A M, Dahl A R, Breivik M , et al. Continuous-curvature path generation using fermat's spiral[J]. Modeling Identification and Control, 2013,34(4):183-198.
[22]	Tsourdos A, White B, Shanmugavel M . Cooperative path planning of unmanned aerial vehicles[M]. New York: John Wiley, 2010.
[23]	Candeloro M, Lekkas A M, Sørensen A J , et al. Continuous curvature path planning using voronoi diagrams and fermat's spirals[J]. IFAC Proceedings Volumes, 2013,46(33):132-137.
[24]	Breivik M, Houstein V E, Fossen T I . Straight-line target tracking for unmanned surface vehicles[J]. Modeling, Identification and Control, 2008,29(4):131-149.
[25]	Breivik M, Fossen T I . Applying missile guidance concepts to motion control of marine craft[J]. IFAC Proceedings Volumes, 2007,40(17):349-354.
[26]	Breivik M, Fossen T I . Guidance laws for planar motion control[C]// 2008 47th IEEE Conference on Decision and Control. 2008: 570-577.
[27]	Shneydor N A . Missile guidance and pursuit: kinematics, dynamics and control[M]. Amsterdam, Netherland: Elsevier, 1998.
[28]	Lekkas A M, Fossen T I . A time-varying lookahead distance guidance law for path following[J]. IFAC Proceedings Volumes, 2012,45(27):398-403.
[29]	Fossen T I, Pettersen K Y, Galeazzi R . Line-of-sight path following for dubins paths with adaptive sideslip compensation of drift forces[J]. IEEE Transactions on Control Systems Technology, 2015,23(2):820-827.
[30]	Gates D J . Nonlinear path following method[J]. Journal of Guidance, Control, and Dynamics, 2010,33(2):321.
[31]	Kuang T C, Richard B, Alistair G . Review of collision avoidance and path planning methods for ships in close range encounters[J]. The Journal of Navigation, 2009,62(3):455-476.
[32]	Statheros T, Howells G, McDonald-Maier K , et al. Autonomous ship collision avoidance navigation concepts, technologies and techniques[J]. The Journal of Navigation, 2008,61(1):129-142.
[33]	Fiorini P, Shiller Z . Motion planning in dynamic environments using the relative velocity paradigm[C]// IEEE International Conference on Robotics and Automation. 1993: 560-565.
[34]	Lee S M, Kwon K Y, Joh J . A fuzzy logic for autonomous navigation of marine vehicles satisfying COLREG guidelines[J]. International Journal of Control, Automation, and Systems, 2004,2(2):171-181.
[35]	Aurenhammer F . Voronoi diagrams: a survey of a fundamental geometric data structure[J]. ACM Computing Surveys (CSUR), 1991,23(3):345-405.
[36]	Naeem W, Irwin G W, Yang A . COLREGs-based collision avoidance strategies for unmanned surface vehicles[J]. Mechatronics, 2012,22(6):669-678.
[37]	Kuwata Y, Wolf M T, Zarzhitsky D , et al. Safe maritime autonomous navigation with COLREGS, using velocity obstacles[J]. IEEE Journal of Oceanic Engineering, 2014,39(1):110-119.
[38]	Stenersen T . Guidance system for autonomous surface vehicles[D]. Trondheim: Norwegian University of Science and Technology, 2015.
[39]	Perera L P, Ferrari V, Santos F P . Experimental evaluations on ship autonomous navigation and collision avoidance by intelligent guidance[J]. IEEE Journal of Oceanic Engineering, 2015,40(2):374-387.
[40]	Woerner K . Multi-contact protocol-constrained collision avoidance for autonomous marine vehicles[D]. Boston: Massachusetts Institute of Technology, 2016.
[41]	Shah B C . Planning for autonomous operation of unmanned surface vehicles [D]. Maryland, USA: University of Maryland,College Park, 2016.
[42]	Shah B C, švec P, Bertastka I R . Trajectory planning with adaptive control primitives for autonomous surface vehicles operating in congested civilian traffic[C]// International Conference on Intelligent Robots and Systems. 2014: 2312-2318.
[43]	švec P, Thukur A, Raboin E , et al. Target following with motion prediction for unmanned surface vehicle operating in cluttered environments[J]. Autonomous Robots, 2014,36(4):383-405.
[44]	Mullins G E, Gupta S K . Adversarial blocking techniques for autonomous surface vehicles using model-predictive motion goal computation[C]// International Conference on Intelligent Robots and Systems. 2015: 2272-2278.
[45]	Candeloro M, Lekka A M, Sørensen A J , et al. A Voronoi-diagram-based dynamic path-planning system for underactuated marine vessels[J]. Control Engineering Practice, 2017,61:41-54.
[46]	Liu Z X, Zhang Y M, Yu X , et al. Unmanned surface vehicles: an overview of developments and challenges[J]. Annual Reviews in Control, 2016,41:71-93.
[47]	Shi Y, Shen C, Fang H Z , et al. Advanced control in marine mechatronic systems: a survey[J]. IEEE/ASME Transactions on Mechatronics, 2017,22(3):1121-1131.
[48]	Erunsal I K . System identification and control of a sea surface vehicle[D]. Ankara: Middle East Technical University, 2015.
[49]	Fossen T I . Handbook of marine craft hydrodynamics and motion control[M]. New Jersey: John Wiley and Sons, 2011.
[50]	Fossen T I . Guidance and control of ocean vehicles[M]. New Jersey: John Wiley and Sons Inc, 1994.
[51]	Fossen T I . Marine control systems: guidance, navigation and control of ships, rigs and underwater vehicles[M]. Trondheim: Marine Cybernetics, 2002.
[52]	Yu Z Y, Bao X P, Nonami K , et al. Course keeping control of an autonomous boat using low cost sensors[J]. Journal of System Design and Dynamics, 2008,2(1):389-400.
[53]	Sonnenburg C R, Woolsey C A . Modeling, identification, and control of an unmanned surface vehicle[J]. Journal of Field Robotics, 2013,30(3):371-398.
[54]	Journee J M J . A simple method for determining the manoeuvring indices $k$ and $t$ from zigzag trial data[J]. Translated Report, 1970,267:1-9.
[55]	Perera L P, Oliveira P, Guedes S C , et al. System identification of nonlinear vessel steering[J]. Journal of Offshore Mechanics and Arctic Engineering, 2015,137(3):031302.
[56]	Annamalai A S K, Sutton R, Yang C . Robust adaptive control of an uninhabited surface vehicle[J]. Journal of Intelligent and Robotic Systems, 2015,78(2):319.
[57]	Skjetne R, Smogeli Q N, Fossen T I . A nonlinear ship manoeuvering model: identification and adaptive control with experiments for a model ship[J]. Modeling, Identification and Control, 2004,25(1):3.
[58]	Sørensen A J . A survey of dynamic positioning control systems[J]. Annual Reviews in Control, 2011,35(1):123-136.
[59]	Do K D, Pan J . Control of ships and underwater vehicles: design for underactuated and nonlinear marine systems[M]. London: Springer-Verlag, 2009.
[60]	Huang J S, Wen C Y, Wang W , et al. Global stable tracking control of underactuated ships with input saturation[J]. Systems and Control Letters, 2015,85:1-7.
[61]	Do K D, Jiang Z P, Pan J . Robust adaptive path following of underactuated ships[J]. Automatica, 2004,40(6):929-944.
[62]	Fossen T I, Lekkas A M . Direct and indirect adaptive integral line-of-sight path-following controllers for marine craft exposed to ocean currents[J]. International Journal of Adaptive Control and Signal Processing, 2017,31(4):445-463.
[63]	Hu X, Du J L, Shi J W . Adaptive fuzzy controller design for dynamic positioning system of vessels[J]. Applied Ocean Research, 2015,53:46-53.
[64]	Liu W, Motiwani A, Sharma S , et al. Fault tolerant navigation of USV using fuzzy multi-sensor fusion [R]. Technical Report, 2014.
[65]	Nielsen U D . A concise account of techniques available for shipboard sea state estimation[J]. Ocean Engineering, 2017,129:352-362.
[66]	Breivik M, Fossen T I . Path following for marine surface vessels[C]// Oceans. 2004: 2282-2289.