本文针对多艘拖轮对海上大型船舶进行带缆伴航的问题,提出一种基于分层模型预测控制的带缆自主伴航控制策略。在顶层考虑带缆伴航安全性约束,设计基于多约束MPC的轨迹规划器以规划安全的拖轮伴航轨迹,并提出前置预优化机制解决多安全性约束下的初始解猜测问题。在底层基于双全回转推进器特性设计轨迹跟踪控制器,控制拖轮跟踪顶层规划的安全轨迹,实现多拖轮带缆自主伴航控制。仿真试验结果表明,所提控制策略可以实现安全的多拖轮带缆自主伴航控制,可为拖轮自主伴航的应用提供理论参考。
This article proposes an autonomous navigation control strategy with towline constraints considered based on hierarchical model predictive control for the problem of multi-tug accompanying large ships. At the top level, considering the safety constraints introduced by towlines, a trajectory planner based on multi constraint MPC is designed to plan a safe navigation trajectory, and a pre optimization mechanism is proposed to solve the initial point guessing problem under multiple safety constraints. A trajectory tracking controller based on the layout mode of dual azimuth thrusters at the bottom layer is designed to control the tugboats following the trajectory planned by top-level, and achieve autonomous navigation control of multi-tug. The simulation results show that the control strategy proposed can achieve safe autonomous navigation control of multi-tug with towline constraints considered.
2025,47(6): 13-20 收稿日期:2024-5-21
DOI:10.3404/j.issn.1672-7649.2025.06.003
分类号:U664.82
基金项目:山东省重点研发计划(2021SFGC0601)
作者简介:郝致远(1999 – ),男,硕士研究生,研究方向为船舶运动控制
参考文献:
[1] 方念坚. 港口引航作业中船舶失控的处置和建议[J]. 航海技术, 2022(1): 1-3.
FANG N J. Disposal and suggestions for ship loss of control during port piloting operations[J]. Marine Technology, 2022(1): 1-3.
[2] 韦小军. CAPE型散货船靠泊曹妃甸6号泊位主机失控的应急拖带操纵[J]. 航海技术, 2021(6): 1-3.
WEI X J. Emergency towing control of the main engine of the CAPE bulk carrier berthing at No. 6 Caofeidian berth out of control[J]. Marine Technology, 2021(6): 1-3.
[3] 罗立科, 于亮. 浅谈船舶在港内失控后的应急处置[J]. 航海技术, 2023(3): 10-13.
LUO L K, YU L. Discussion on emergency response of ships out of control in the Port [J]. Marine Technology, 2023(3): 10-13.
[4] 陈亚阳. 港作拖轮护航安全操作浅见[J]. 珠江水运, 2021(5): 114-116.
[5] 刘佳仑, 韩成浩, 李诗杰, 等. 智能拖轮研究现状、关键技术与展望[J]. 中国船检, 2022(8): 50-55.
LIU J L, HAN C H, LI S J, et al. Current status, key technologies, and prospects of intelligent tugboat research[J]. China Ship Survey, 2022(8): 50-55.
[6] DAI S L, HE S, CAI H, et al. Adaptive Leader-Follower Formation Control of Underactuated Surface Vehicles With Guaranteed Performance[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, PP(99): 1-12.
[7] HE S, WANG M, DAI S L, et al. Leader-follower formation control of USVs with prescribed performance and collision avoidance[J]. IEEE Transactions on Industrial Informatics, 2019, 15(1): 572-581.
[8] 邹子理, 孙骞, 黄雨杰, 等. 基于改进人工势场法的多无人艇避障策略[J]. 应用科技, 2024, 51(1): 166-176.
[9] SHOU Y, XU B, LU H, et al. Finite-time formation control and obstacle avoidance of multi-agent system with application[J]. International Journal of Robust and Nonlinear Control, 2021.
[10] LIU L, YAO J, HE D, et al. Global dynamic path planning fusion algorithm combining jump-A* algorithm and dynamic window approach[J]. IEEE Access, 2021, 9: 19632-19638.
[11] 王宁, 刘永金, 高颖. 未知扰动下的无人艇编队优化轨迹跟踪控制[J]. 中国舰船研究, 2024, 19(1): 178-190.
WANG N, LIU Y J, GAO Y. Optimal trajectory tracking control of unmanned surface vehicle formation under unknown disturbances[J]. Chinese Journal of Ship Research, 2024, 19(1): 178-190.
[12] 李仲昆. 存在扰动情况下的水面无人艇编队控制研究[D]. 大连: 大连海事大学, 2022.
[13] 柳俊杰, 王健, 王幸, 等. 基于相对时变跟踪点位的无人艇目标跟踪策略[J]. 中国舰船研究, 2024, 19(1): 169-177.
LIU J J, WANG J J, WANG X, et al. Target tracking strategy of unmanned surface vehicle based on relative time-varying tracking position[J]. Chinese Journal of Ship Research, 2024, 19(1): 169-177.
[14] 柳晨光, 初秀民, 王乐, 等. 欠驱动水面船舶的轨迹跟踪模型预测控制器[J]. 上海交通大学学报, 2015, 49(12): 1842-1848+1854.
[15] 陈国权, 李裕钦, 杨神化. 基于MPC的USV自主航行仿真研究[J]. 舰船科学技术, 2023, 45(1): 83-89.
CHEN G Q, LI Y Q, YANG S H. Research on the simulation of USV autonomous navigation based on MPC[J]. Ship Science and Technology, 2023, 45(1): 83-89.
[16] 贾金恒, 黄琰, 赵文涛, 等. 基于模型预测控制的无人帆船轨迹跟踪方法[J]. 中国舰船研究, 2024, 19(1): 145-157.
JIA J H, HUANG Y, ZHAO W T, et al. Unmanned sailboat trajectory tracking method based on model predictive control[J]. Chinese Journal of Ship Research, 2024, 19(1): 145-157.
[17] GUANGHUI WEN, JAMES LAM, JUNJIE FU, et al. Distributed MPC-based robust collision avoidance formation navigation of constrained multiple USVs [J]. IEEE transactions on intelligent vehicles, 2024, 1–13.
[18] 贾欣乐, 杨盐生. 船舶运动数学模型——机理建模与辨识建模[M]. 大连: 大连海事大学出版社, 1999.