An event-triggered trajectory planning and tracking scheme for automatic berthing of unmanned surface vessel. (1st April 2023)
- Record Type:
- Journal Article
- Title:
- An event-triggered trajectory planning and tracking scheme for automatic berthing of unmanned surface vessel. (1st April 2023)
- Main Title:
- An event-triggered trajectory planning and tracking scheme for automatic berthing of unmanned surface vessel
- Authors:
- Yuan, Shouzheng
Liu, Zhilin
Sun, Yuxin
Wang, Zhongxin
Zheng, Linhe - Abstract:
- Abstract: This study proposes a trajectory planning and tracking scheme for the fully actuated USV's automatic berthing. First, a three-degree-of-freedom model (3-DOF) of USV is employed, considering model uncertainty, actuator saturation, and environmental disturbances. Moreover, an A* algorithm with the Bezier curve (AB) approach is proposed to plan the smooth berthing trajectory. To make the velocity of the USV converge to zero at the berth, an interpolation method is proposed to densify the waypoints at the end of the berthing trajectory. Most of the previous studies about USV's tracking control pay little attention to real-time performance, which may increase the computational cost of the control system and affect its stability. Therefore, to improve the computational performance during the USV's berthing, an event-triggered adaptive horizon model predictive control (ETAHMPC) method is proposed. Comparative simulation experiments are performed in two scenarios to verify the effectiveness and superiority of the proposed ETAHMPC scheme. The results show that the proposed scheme can effectively reduce computational costs while ensuring control performance. Highlights: Model uncertainty, actuator saturation, and environmental disturbances are considered in the optimal berthing problem. An online AB trajectory planning method is proposed to make the berthing trajectory smoother. The interpolation points are supplemented in the berthing trajectory to make USV's speed convergeAbstract: This study proposes a trajectory planning and tracking scheme for the fully actuated USV's automatic berthing. First, a three-degree-of-freedom model (3-DOF) of USV is employed, considering model uncertainty, actuator saturation, and environmental disturbances. Moreover, an A* algorithm with the Bezier curve (AB) approach is proposed to plan the smooth berthing trajectory. To make the velocity of the USV converge to zero at the berth, an interpolation method is proposed to densify the waypoints at the end of the berthing trajectory. Most of the previous studies about USV's tracking control pay little attention to real-time performance, which may increase the computational cost of the control system and affect its stability. Therefore, to improve the computational performance during the USV's berthing, an event-triggered adaptive horizon model predictive control (ETAHMPC) method is proposed. Comparative simulation experiments are performed in two scenarios to verify the effectiveness and superiority of the proposed ETAHMPC scheme. The results show that the proposed scheme can effectively reduce computational costs while ensuring control performance. Highlights: Model uncertainty, actuator saturation, and environmental disturbances are considered in the optimal berthing problem. An online AB trajectory planning method is proposed to make the berthing trajectory smoother. The interpolation points are supplemented in the berthing trajectory to make USV's speed converge slowly to zero. A novel ETAHMPC scheme is proposed to reduce computational costs while ensuring control performance. … (more)
- Is Part Of:
- Ocean engineering. Volume 273(2023)
- Journal:
- Ocean engineering
- Issue:
- Volume 273(2023)
- Issue Display:
- Volume 273, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 273
- Issue:
- 2023
- Issue Sort Value:
- 2023-0273-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-04-01
- Subjects:
- Unmanned surface vessel (USV) -- Automatic berthing -- Model predictive control -- Event-triggered mechanism -- Adaptive predictive horizon
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2023.113964 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26156.xml