Data-Driven Adaptive Control for Containment Maneuvering of Output Constrained Marine Surface Vehicles With Quantized Communications
In this paper, a control system structure with output constrained and quantized communication is proposed for a group of marine surface vessels (MSVs) in the framework of containment maneuvering. First, the tracking error of the system is constrained to a particular range at every moment in the whole process of the system, based on an asymmetric <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ln$</tex-math></inline-formula>-type Lyapunov function instead of a symmetric <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ln$</tex-math></inline-formula>-type Lyapunov function. Secondly, a quantized communication protocol is proposed to enable the reduction of the amount of communication data and a speed estimator is proposed to enable the execution of more complex and diverse tasks at the cooperative level. Thirdly, for unknown dynamics, a data-driven adaptive disturbance observer (DADO) is employed for estimatiom. Compared with existing containment maneuvering strategies, the control method in this paper has more flexible parameter design processes, a larger initial range available and lower bandwidth requirement, and no prior knowledge of dynamics is required. Finally, the effectiveness of the control strategy in this paper is verified by simulation.
Authors
- Hu Tan (ORCID: https://orcid.org/0000-0002-2377-0548)
- Hao Wang (ORCID: https://orcid.org/0000-0003-3442-5413)
Institutions
- Northeastern University (CN)
Publication Details
- Journal
- IEEE Transactions on Vehicular Technology
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1109/tvt.2024.3457590
- Citations
- 17
- Primary Topic
- Adaptive Control of Nonlinear Systems
- Type
- article
- Field-Weighted Citation Impact
- 5.58
Funders
- Liaoning Revitalization Talents Program