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Multi-USV system for oil spill cleaning: Complete coverage path planning and path following
1School of Future Technology, China University of Geosciences, Wuhan, Hubei 430074, China; School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan, Hubei 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, 430074, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China.
This study presents a novel approach for oil spill cleanup using multiple Unmanned Surface Vehicles (multi-USV). The system efficiently plans paths and follows them, enhancing marine environmental protection efforts.
Area of Science:
- Robotics
- Marine Engineering
- Environmental Science
Background:
- Oil spills pose significant environmental threats, necessitating efficient cleanup strategies.
- Coordinated multi-Unmanned Surface Vehicle (multi-USV) systems offer a promising solution for large-scale environmental monitoring and cleanup.
- Path planning and precise path following are critical challenges in deploying multi-USV systems effectively.
Purpose of the Study:
- To develop an efficient path planning and following strategy for a multi-USV system for oil spill cleanup.
- To address the complexities of energy constraints and minimum turning radius in path planning.
- To overcome challenges in velocity state estimation under measurement noise for path following.
Main Methods:
- Reformulated the complete coverage path planning as a multi-USV Dubins coverage path planning problem.
- Employed a simulated annealing algorithm for optimal path generation.
- Developed a finite-time observer (combining Extended State Observer and Kalman Filter) for velocity state and disturbance estimation.
- Designed a finite-time Line-of-Sight (FTLOS) guidance law and a finite-time feedback controller.
Main Results:
- The simulated annealing algorithm generated efficient paths for the multi-USV system.
- The finite-time observer accurately estimated USV velocity states and disturbances despite measurement noise.
- The FTLOS guidance law and feedback controller enabled precise path tracking and speed control within a finite time.
- Demonstrated successful coordinated operation of the multi-USV system for coverage path planning.
Conclusions:
- The proposed multi-USV system with advanced path planning and control strategies is effective for oil spill cleanup.
- The finite-time observer and control design enhance the robustness and accuracy of USV operations in challenging marine environments.
- This research contributes to the advancement of autonomous marine systems for environmental protection and disaster response.
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