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| Citation: |
LIU J L, DONG Z L, LI S J, et al. Autonomous berthing control of tugboat based on improved backstepping sliding mode control algorithm[J]. Chinese Journal of Ship Research, 2024, 19(1): 119–127 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03227
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Aiming at the problem of the autonomous berthing control of tugboats, this study focuses on the application of a target tracking control strategy based on virtual leadership.
First, the autonomous berthing process of the tugboat is transformed into the target tracking control process of the virtual tugboat and actual tugboat. A kinematics model of the berthing system is then designed. Considering special environmental interference in the berthing scenario, the backstepping method and sliding mode control method are used to design an autonomous berthing controller for an azimuth stern drive tugboat. Three different sliding mode surfaces are provided and the stability is verified by the Lyapunov function. Finally, a simulation test is used to verify the control effect through the berthing trajectory, speed error and distance error.
The simulation results show that the designed tugboat autonomous berthing control strategy and controller have a good effect in the tugboat autonomous berthing scenario and good performance in the face of uncertain disturbances of the system.
The control strategy and berthing controller designed in this paper have good applicability and robustness. The autonomous berthing control of tugboats is realized from a new angle, providing a new direction for subsequent research on the berthing control of tugboats.
| [1] |
张强, 张显库. 船舶自动靠泊控制研究综述[J]. 大连海事大学学报, 2015, 41(3): 1–9.
ZHANG Q, ZHANG X K. Review on the research of ship automatic berthing control[J]. Journal of Dalian Maritime University, 2015, 41(3): 1–9 (in Chinese).
|
| [2] |
LIU J L, YAN X P, LIU C G, et al. Developments and applications of green and intelligent inland vessels in China[J]. Journal of Marine Science and Engineering, 2023, 11(2): 318. doi: 10.3390/jmse11020318
|
| [3] |
LI S J, XU C Q, LIU J L, et al. Data-driven docking control of autonomous double-ended ferries based on iterative learning model predictive control[J]. Ocean Engineering, 2023, 273: 113994. doi: 10.1016/j.oceaneng.2023.113994
|
| [4] |
刘志林, 苑守正, 郑林熇, 等. 船舶自动靠泊技术的发展现状和趋势[J]. 中国造船, 2021, 62(4): 293–304.
LIU Z L, YUAN S Z, ZHENG L H, et al. Development status and trend of ship automatic berthing technology[J]. Shipbuilding of China, 2021, 62(4): 293–304 (in Chinese).
|
| [5] |
陈静, 王强. 基于激光与视觉融合的无人船靠泊环境感知系统设计[J]. 起重运输机械, 2022(15): 36–41,47.
CHEN J, WANG Q. Design of a berthing environment sensing system for unmanned ships based on laser and vision fusion[J]. Hoisting and Conveying Machinery, 2022(15): 36–41,47 (in Chinese).
|
| [6] |
朱迅楠. 无人水面艇自主靠泊技术研究[D]. 镇江: 江苏科技大学, 2022.
ZHU X N. Research on autonomous berthing technology for unmanned surface vehicles[D]. Zhenjiang: Jiangsu University of Science and Technology, 2022 (in Chinese).
|
| [7] |
张松, 刘佳仑, 李诗杰, 等. 船舶自动靠离泊系统设计与关键技术[J]. 中国船检, 2022(10): 42–47.
ZHANG S, LIU J L, LI S J, et al. Design and key technology of ship automatic berthing system[J]. China Ship Survey, 2022(10): 42–47 (in Chinese).
|
| [8] |
WANG N, ER M J. Direct adaptive fuzzy tracking control of marine vehicles with fully unknown parametric dynamics and uncertainties[J]. IEEE Transactions on Control Systems Technology, 2016, 24(5): 1845–1852. doi: 10.1109/TCST.2015.2510587
|
| [9] |
NGUYEN V S, IM N K. Automatic ship berthing based on fuzzy logic[J]. International Journal of Fuzzy Logic and Intelligent Systems, 2019, 19(3): 163–171. doi: 10.5391/IJFIS.2019.19.3.163
|
| [10] |
陈志超, 薛圻蒙, 罗凯, 等. 基于改进LOS导航算法的智能船舶自动靠泊控制研究[J]. 中国航海, 2021, 44(2): 126–133.
CHEN Z C, XUE Q M, LUO K, et al. Intelligent automatic control of ship berthing with improved LOS guidance[J]. Navigation of China, 2021, 44(2): 126–133 (in Chinese).
|
| [11] |
PARK J Y, KIM N. Design of an adaptive backstepping controller for auto-berthing a cruise ship under wind loads[J]. International Journal of Naval Architecture and Ocean Engineering, 2014, 6(2): 347–360. doi: 10.2478/IJNAOE-2013-0184
|
| [12] |
卜仁祥, 刘正江, 胡江强. 欠驱动船舶非线性滑模靠泊控制器[J]. 交通运输工程学报, 2007, 7(4): 24–29.
BU R X, LIU Z J, HU J Q. Berthing controller of underactuated ship with nonlinear sliding mode[J]. Journal of Traffic and Transportation Engineering, 2007, 7(4): 24–29 (in Chinese).
|
| [13] |
张强, 张显库, 林南均. 船舶自动靠泊简捷非线性神经网络控制器[J]. 中国航海, 2017, 40(4): 11–15,29.
ZHANG Q, ZHANG X K, LIN N J. Concise nonlinear neural network controller for ship auto-berthing[J]. Navigation of China, 2017, 40(4): 11–15,29 (in Chinese).
|
| [14] |
WANG N, ER M J, HAN M. Dynamic tanker steering control using generalized ellipsoidal-basis-function-based fuzzy neural networks[J]. IEEE Transactions on Fuzzy Systems, 2015, 23(5): 1414–1427. doi: 10.1109/TFUZZ.2014.2362144
|
| [15] |
张皓然. Actor-Critic强化学习方法及在船舶自动靠泊中的应用[D]. 北京: 北京交通大学, 2021.
ZHANG H R. Actor-Critic reinforcement learning and applications to automatic ship berthing[D]. Beijing: Beijing Jiaotong University, 2021 (in Chinese).
|
| [16] |
ZOU T Y, SHEN Z P, DAI C S. Adaptive iterative sliding mode berthing control for underactuated ship based on chaotic particle swarm[C]//Proceedings of the 37th Chinese Control Conference (CCC). Wuhan: IEEE, 2018: 1169−1174.
|
| [17] |
VU M T, CHOI H S, OH J Y, et al. A study on automatic berthing control of an unmanned surface vehicle[J]. Journal of Advanced Research in Ocean Engineering, 2016, 2(4): 192–201. doi: 10.5574/JAROE.2016.2.4.192
|
| [18] |
TRAN V L, IM N. A study on ship automatic berthing with assistance of auxiliary devices[J]. International Journal of Naval Architecture and Ocean Engineering, 2012, 4(3): 199–210. doi: 10.2478/IJNAOE-2013-0090
|
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