Adaptive backstepping fast terminal sliding mode control of dynamic positioning ships with uncertainty and unknown disturbances

被引:21
作者
Chen, Hao [1 ]
Li, Jiajia [1 ]
Gao, Ning [1 ]
Han, Jingang [1 ]
Ait-Ahmed, Nadia [2 ]
Benbouzid, Mohamed [3 ]
机构
[1] Shanghai Maritime Univ, Res Inst Power Drive & Control, Shanghai 201306, Peoples R China
[2] Nantes Univ, Inst Rech Energie Elect Nantes Atlantique, F-44602 Saint Nazaire, France
[3] Univ Brest, Inst Rech Dupuy Lome, UMR CNRS IRDL 6027, F-29240 Brest, France
基金
中国国家自然科学基金;
关键词
DP system; Fixed-point control; Backstepping sliding mode control; Adaptive control; Adaptive backstepping fast terminal sliding mode; TRACKING CONTROL; DESIGN; SYSTEM; OBSERVER;
D O I
10.1016/j.oceaneng.2023.114925
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Considering the complexity of the operating environment of marine ships, higher demands are placed on the positioning accuracy and positioning performance of Dynamic Positioning (DP) systems. This paper designs an Adaptive Backstepping Fast Terminal Sliding Mode Control (ABFTSMC) to solve the problems of low positioning accuracy, slow convergence, and poor anti-interference performance in ship positioning due to uncertainty of dynamic model parameters and unknown time-varying environmental disturbances. A Fast Terminal Sliding Mode Control (FTSMC) is combined with backstepping techniques to ensure the robustness of the system to uncertainties and disturbances. Meanwhile, an adaptive law is used to estimate the unknown uncertainty terms. Moreover, the Lyapunov stability criterion is used to prove the convergence and stability of the designed controller. Multiple simulation results show that ABFTSMC has better control performance compared with Adaptive Backstepping Control (ABC) and Adaptive Backstepping Sliding Mode Control (ABSMC). All the comparisons could fully verify the effectiveness and superiority of the proposed control method.
引用
收藏
页数:11
相关论文
共 54 条
[1]   Soft-Switching Proximate Time Optimal Heading Control for Underactuated Autonomous Underwater Vehicle [J].
An Li ;
Li Ye ;
Jiang Yanqing ;
Li Yueming ;
Cao Jian ;
He Jiayu .
IEEE ACCESS, 2019, 7 :143233-143249
[2]  
Asadi M., 2011, IFAC P, V44, P14760
[3]  
Balchen J. G., 1980, Proceedings of the 19th IEEE Conference on Decision & Control Including the Symposium on Adaptive Processes, P852
[4]  
Balchen J.G., 1976, IFAC IFIP S AUT OFFS, P183
[5]   Barrier Function-based adaptive fast non-singular terminal sliding mode tracking control for marine vessels [J].
Cao, Gang ;
Li, Zhenhua ;
Yang, Yunxiang ;
Zhang, Weidong .
OCEAN ENGINEERING, 2022, 266
[6]  
Chen BW, 2017, INT CONF COMP SCI ED, P202, DOI 10.1109/ICCSE.2017.8085489
[7]   Adaptive control and constrained control allocation for overactuated ocean surface vessels [J].
Chen, Mou ;
Jiang, Bin .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2013, 44 (12) :2295-2309
[8]   Observer-based adaptive robust stabilization of dynamic positioning ship with delay via Hamiltonian method [J].
Cui, Jiankuo ;
Yang, Renming ;
Pang, Chengcheng ;
Zhang, Qiang .
OCEAN ENGINEERING, 2021, 222
[9]  
Dawei Zhao, 2010, Proceedings of the 2010 International Conference on Information and Automation (ICIA 2010), P1367, DOI 10.1109/ICINFA.2010.5512102
[10]   Dynamic positioning of ships with unknown parameters and disturbances [J].
Du, Jialu ;
Hu, Xin ;
Krstic, Miroslav ;
Sun, Yuqing .
CONTROL ENGINEERING PRACTICE, 2018, 76 :22-30