Safety-Guaranteed Ship Berthing Using Cascade Tube-Based Model Predictive Control

被引:3
作者
Lee, Changyu [1 ]
Tran, Quoc Van [2 ]
Kim, Jinwhan [1 ]
机构
[1] Korea Adv Inst Sci & Technol KAIST, Dept Mech Engn, Mobile Robot & Intelligence Lab, Daejeon 34141, South Korea
[2] Hanoi Univ Sci & Technol HUST, Sch Mech Engn, Dept Mechatron, Hanoi 100000, Vietnam
关键词
Autonomous berthing; robust control; tube-based model predictive control (MPC); SYSTEMS;
D O I
10.1109/TCST.2024.3374152
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This brief presents a cascade tube-based model predictive control (CTMPC) approach for safe ship berthing in the presence of unknown and bounded disturbances. The nonlinear dynamic model of a ship moving at low speeds is decomposed into a linear time-invariant (LTI) model for the surge system and a linear parameter-varying (LPV) model for the sway-yaw system, where the surge velocity is a scheduling parameter. The tube-based model predictive control (MPC) problems of these models are solved using the proposed CTMPC approach. The robust positively invariant (RPI) sets of the two subsystems and the geometry of the predefined separation area around the ship are considered to calculate the safe region of the ship under bounded disturbances. The proposed control architecture is shown to be both recursively feasible and stable, and simulation results are presented to verify its practical effectiveness.
引用
收藏
页码:1504 / 1511
页数:8
相关论文
共 29 条
[11]   Automatic berthing for an underactuated unmanned surface vehicle: A real-time motion planning approach [J].
Han, Sen ;
Wang, Yiting ;
Wang, Lei ;
He, Huacheng .
OCEAN ENGINEERING, 2021, 235
[12]  
Ismail J, 2020, P AMER CONTR CONF, P1998, DOI [10.23919/acc45564.2020.9147478, 10.23919/ACC45564.2020.9147478]
[13]   Adaptive Tracking Control With Global Performance for Output-Constrained MIMO Nonlinear Systems [J].
Kong, Linghuan ;
He, Wei ;
Liu, Zhijie ;
Yu, Xinbo ;
Silvestre, Carlos .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (06) :3760-3767
[14]   Robust model predictive control using tubes [J].
Langson, W ;
Chryssochoos, I ;
Rakovic, SV ;
Mayne, DQ .
AUTOMATICA, 2004, 40 (01) :125-133
[15]   Nonlinear Model Predictive Control With Obstacle Avoidance Constraints for Autonomous Navigation in a Canal Environment [J].
Lee, Changyu ;
Chung, Dongha ;
Kim, Jonghwi ;
Kim, Jinwhan .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 29 (03) :1985-1996
[16]   Robust Path Tracking and Obstacle Avoidance using Tube-based Model Predictive Control for Surface Vehicles [J].
Lee, Changyu ;
Quoc Van Tran ;
Kim, Jinwhan .
IFAC PAPERSONLINE, 2022, 55 (31) :301-306
[17]   Automatic Docking for Underactuated Ships Based on Multi-Objective Nonlinear Model Predictive Control [J].
Li, Shijie ;
Liu, Jialun ;
Negenborn, Rudy R. ;
Wu, Qing .
IEEE ACCESS, 2020, 8 :70044-70057
[18]   Experimental validation of model predictive control stability for autonomous driving [J].
Lima, Pedro F. ;
Pereira, Goncalo Collares ;
Martensson, Jonas ;
Wahlberg, Bo .
CONTROL ENGINEERING PRACTICE, 2018, 81 :244-255
[19]   Optimization-Based Automatic Docking and Berthing of ASVs Using Exteroceptive Sensors: Theory and Experiments [J].
Martinsen, Andreas B. ;
Bitar, Glenn ;
Lekkas, Anastasios M. ;
Gros, Sebastien .
IEEE ACCESS, 2020, 8 :204974-204986
[20]   Robust Tube-Based Model Predictive Control for Lateral Path Tracking [J].
Mata, Sara ;
Zubizarreta, Asier ;
Pinto, Charles .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2019, 4 (04) :569-577