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Abstract
The berthing of maritime autonomous surface ships (MASSs) is a challenging operation even for an experienced captain due to the required complicated maneuvering at low speeds in a constrained water space. This paper addresses safety-aware automatic berthing of MASSs moving in a constrained water region with stationary and moving obstacles. A safety-critical constrained anti-disturbance control method is proposed for the automatic berthing of MASSs subject to velocity constraints, input constraints, and collision-avoidance constraints, as well as ocean disturbances. At the kinematic level, desired linear velocities and yaw rate are prescribed by incorporating a line-of-sight guidance scheme to achieve position-heading stabilization. At the kinetic level, an anti-disturbance kinetic control law is designed based on an extended state observer. Through converting the input constraints to velocity constraints on guidance signals, the safety-guidance signals are obtained by solving a quadratic programming problem subject to the state, input, and collision-avoidance constraints. It is proven that an MASS controlled by using the proposed method is input-to-state safe in the presence of ocean disturbances. Simulation results are elaborated to substantiate the efficacy of the proposed safety-certified control law for the automatic berthing of an MASS subject to physical constraints and environmental disturbances. © 2023 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 8541-8552 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 72 |
| Issue number | 7 |
| Online published | 6 Mar 2023 |
| DOIs | |
| Publication status | Published - Jul 2023 |
Research Keywords
- automatic berthing
- input-to-state safety
- Kinematics
- Kinetic theory
- Marine vehicles
- maritime autonomous surface ships
- Safety
- Safety-certified control
- Sea surface
- stationary and moving obstacles
- Training
- Uncertainty
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Dive into the research topics of 'Safety-certified Constrained Control of Maritime Autonomous Surface Ships for Automatic Berthing'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Intelligent Mission Planning and Tracking Control of Autonomous Surface Vehicles Based on Neural Computation
WANG, J. (Principal Investigator / Project Coordinator)
1/01/19 → 3/01/24
Project: Research