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1.华南理工大学 机械工程学院,广东 广州 510640
2.华南理工大学 土木与交通学院,广东 广州 510641
Received:07 May 2021,
Revised:28 May 2021,
Published:15 September 2021
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洪晓斌,徐郑攀,魏新勇等.基于改进速度障碍法的水面无人艇动态避障[J].光学精密工程,2021,29(09):2126-2139.
HONG Xiao-bin,XU Zheng-pan,WEI Xin-yong,et al.Dynamic obstacle avoidance of unmanned surface vehicle based on improved speed obstacle method[J].Optics and Precision Engineering,2021,29(09):2126-2139.
洪晓斌,徐郑攀,魏新勇等.基于改进速度障碍法的水面无人艇动态避障[J].光学精密工程,2021,29(09):2126-2139. DOI: 10.37188/OPE.2021.0272.
HONG Xiao-bin,XU Zheng-pan,WEI Xin-yong,et al.Dynamic obstacle avoidance of unmanned surface vehicle based on improved speed obstacle method[J].Optics and Precision Engineering,2021,29(09):2126-2139. DOI: 10.37188/OPE.2021.0272.
针对水面无人艇在复杂海况下的动态避障问题,构建了障碍物模型和碰撞风险模型,通过引入多个约束条件的改进速度障碍法,实现了复杂海况下水面无人艇动态避障的航迹重规划。针对无人艇长宽比较大的几何特点,提出了矩形包围框的障碍物模型描述方法,建立无人艇相对运动模型,并在船体坐标系下计算相对运动参数。通过计算碰撞危险度来确定开始避障的时机。最后,在速度障碍法的基础上引入障碍物模型约束和水面无人艇自主局部避障系统特性约束对避障路径进行优化,并通过实验获得动态避障环境下的航迹重规划结果。基于V-REP(Virtual Robot Experimentation Platform)平台仿真实验以及实船避障实验表明,在航速12节的情况下,避碰过程中的路径重规划时间在15 s以下,满足在实际航行多约束条件下水面无人艇的动态避障要求。
Aiming at solving the dynamic collision avoidance problem for unmanned surface vehicle under complex marine status, this study constructs the obstacle model and the collision risk model to achieve the track re-planning of dynamic collision avoidance in complex sea conditions with the improved velocity obstacle method that introduced multiple constraints.Firstly, an obstacle model description method for rectangular bounding box was proposed for USV's geometric characteristics of large aspect ratio.A relative motion model of USV in hull coordinate system was established with the relative motion parameters calculated. Secondly,the collision risk was calculated to determine the time to start avoiding the obstacle.Lastly, improved obstacle avoidance path was constructed by introducing obstacle model constraints and characteristic constraints of USV’s autonomous local obstacle avoidance system based on velocity obstacle method. The track re-planning results were obtained through experiments.The simulated experiment on the physical simulation platform of V-REP (Virtual Robot Experimentation Platform) and the actual ship obstacle avoidance experiment show that the path re-planning time during collision avoidance is less than 15 s at a speed of 12 knots, meeting the dynamic collision avoidance requirements of unmanned surface vehicle under multiple constraints of actual navigation.
孙兆伟 , 刘雪奎 , 吴限德 , 等 . 用于通信保障航天器的遗传蚁群融合路径规划 [J]. 光学 精密工程 , 2013 , 21 ( 12 ): 3308 - 3316 . doi: 10.3788/ope.20132112.3308 http://dx.doi.org/10.3788/ope.20132112.3308
SUN ZH W , LIU X K , WU X D , et al . Path planning based on ant colony and genetic fusion algorithm for communication supporting spacecraft [J]. Opt. Precision Eng. , 2013 , 21 ( 12 ): 3308 - 3316 . (in Chinese) . doi: 10.3788/ope.20132112.3308 http://dx.doi.org/10.3788/ope.20132112.3308
颜雪松 , 胡成玉 , 姚宏 , 等 . 精英粒子群优化算法及其在机器人路径规划中的应用 [J]. 光学 精密工程 , 2013 , 21 ( 12 ): 3160 - 3168 . doi: 10.3788/ope.20132112.3160 http://dx.doi.org/10.3788/ope.20132112.3160
YAN X S , HU CH Y , YAO H , et al . Elite particle swarm optimization algorithm and its application in robot path planning [J]. Opt. Precision Eng. , 2013 , 21 ( 12 ): 3160 - 3168 . (in Chinese) . doi: 10.3788/ope.20132112.3160 http://dx.doi.org/10.3788/ope.20132112.3160
赵海 , 陈星池 , 王家亮 , 等 . 基于四轴飞行器的单目视觉避障算法 [J]. 光学 精密工程 , 2014 , 22 ( 8 ): 2232 - 2241 . doi: 10.3788/ope.20142208.2232 http://dx.doi.org/10.3788/ope.20142208.2232
ZHAO H , CHEN X CH , WANG J L , et al . Obstacle avoidance algorithm based on monocular vision for quad-rotor helicopter [J]. Opt. Precision Eng. , 2014 , 22 ( 8 ): 2232 - 2241 . (in Chinese) . doi: 10.3788/ope.20142208.2232 http://dx.doi.org/10.3788/ope.20142208.2232
HU L , NAEEM W , RAJABALLY E , et al . A multiobjective optimization approach for COLREGs-compliant path planning of autonomous surface vehicles verified on networked bridge simulators [J]. IEEE Transactions on Intelligent Transportation Systems , 2020 , 21 ( 3 ): 1167 - 1179 . doi: 10.1109/tits.2019.2902927 http://dx.doi.org/10.1109/tits.2019.2902927
PARK J , CHOI J , CHOI H T . COLREGS-compliant path planning considering time-varying trajectory uncertainty of autonomous surface vehicle [J]. Electronics Letters , 2019 , 55 ( 4 ): 222 - 224 . doi: 10.1049/el.2018.6680 http://dx.doi.org/10.1049/el.2018.6680
JOHANSEN T A , PEREZ T , CRISTOFARO A . Ship collision avoidance and COLREGS compliance using simulation-based control behavior selection with predictive hazard assessment [J]. IEEE Transactions on Intelligent Transportation Systems , 2016 , 17 ( 12 ): 3407 - 3422 . doi: 10.1109/tits.2016.2551780 http://dx.doi.org/10.1109/tits.2016.2551780
CHEN Z , ZHANG Y M , ZHANG Y G , et al . A hybrid path planning algorithm for unmanned surface vehicles in complex environment with dynamic obstacles [J]. IEEE Access , 2019 , 7 : 126439 - 126449 . doi: 10.1109/access.2019.2936689 http://dx.doi.org/10.1109/access.2019.2936689
LIN X G , GUO R X . Path planning of unmanned surface vehicle based on improved Q-learning algorithm [C]. 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). 1820,2019 , Xiamen, China. IEEE , 2019 : 302 - 306 . doi: 10.1109/eitce47263.2019.9095038 http://dx.doi.org/10.1109/eitce47263.2019.9095038
ZHANG W C , XU Y M , XIE J P . Path planning of USV based on improved hybrid genetic algorithm [C]. 2019 European Navigation Conference (ENC). 912,2019 , Warsaw, Poland. IEEE , 2019 : 1 - 7 . doi: 10.1109/euronav.2019.8714160 http://dx.doi.org/10.1109/euronav.2019.8714160
WOO J , KIM N . Collision avoidance for an unmanned surface vehicle using deep reinforcement learning [J]. Ocean Engineering , 2020 , 199 : 107001 . doi: 10.1016/j.oceaneng.2020.107001 http://dx.doi.org/10.1016/j.oceaneng.2020.107001
洪晓斌 , 魏新勇 , 黄烨笙 , 等 . 融合图像识别和VFH+的无人艇局部路径规划方法 [J]. 华南理工大学学报:自然科学版 , 2019 , 47 ( 10 ): 24 - 33 . doi: 10.1109/ccdc49329.2020.9163979 http://dx.doi.org/10.1109/ccdc49329.2020.9163979
HONG X B , WEI X Y , HUANG Y SH , et al . Local path planning method for unmanned surface vehicle based on image recognition and VFH+ [J]. Journal of South China University of Technology: Natural Science Edition , 2019 , 47 ( 10 ): 24 - 33 . (in Chinese) . doi: 10.1109/ccdc49329.2020.9163979 http://dx.doi.org/10.1109/ccdc49329.2020.9163979
尚明栋 , 朱志宇 , 周涛 . 水面无人艇动态避碰策略研究 [J]. 舰船科学技术 , 2017 , 39 ( 17 ): 69 - 73 . doi: 10.3404/j.issn.1672-7649.2017.09.014 http://dx.doi.org/10.3404/j.issn.1672-7649.2017.09.014
SHANG M D , ZHU ZH Y , ZHOU T . Research on dynamic intelligent anti-collision of USV [J]. Ship Science and Technology , 2017 , 39 ( 17 ): 69 - 73 . (in Chinese) . doi: 10.3404/j.issn.1672-7649.2017.09.014 http://dx.doi.org/10.3404/j.issn.1672-7649.2017.09.014
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