Trajectory Tracking and Docking Control Strategy for Unmanned Surface Vehicles in Water-Based Search and Rescue Missions
This paper investigates a global fixed-time control strategy for a search and rescue unmanned surface vehicle (SRUSV) targeting water rescue missions. Firstly, an improved time allocation trajectory generation (ITATG) method is proposed to generate a smooth and continuous desired trajectory, incorporating position, velocity, and acceleration information. Secondly, a fixed-time sideslip angle observer-based adaptive line-of-sight (FTSOALOS) guidance law is designed. This law integrates time-varying look-ahead distances with a fixed-time sideslip angle observer (FTSO) to ensure rapid convergence of positional errors within a fixed timeframe. Additionally, this paper employs a first-order fixed-time disturbance observer (FOFTDO) to accurately estimate external disturbances. To alleviate network pressure and reduce actuator failure rates, a fixed-time event-triggered sliding mode control (FTETSMC) mechanism is developed, ensuring the convergence of tracking errors within a fixed timeframe. Finally, using Lyapunov theory, this paper proves that the entire control system designed possesses consistent global fixed-time stability. Comparative simulation experiments validate the effectiveness and superiority of the FTSOALOS guidance law and the FTETSMC controller.
Authors
- Yiming Bai (ORCID: https://orcid.org/0000-0002-1340-6857)
- Kai Zheng (ORCID: https://orcid.org/0000-0001-7686-8226)
- Yiqi Wang (ORCID: https://orcid.org/0000-0002-9657-3617)
- Zheng Wang
Institutions
- Dalian Maritime University (CN)
Publication Details
- Journal
- Journal of Marine Science and Engineering
- Published
- 2024-08-23
- DOI
- https://doi.org/10.3390/jmse12091462
- Citations
- 6
- Primary Topic
- Robotic Path Planning Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- National Natural Science Foundation of China