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Distributed global output-feedback formation control without velocity measurement for multiple unmanned surface
Lei Zhang1, Yuxin Zheng1, Ziyang Huang1
1Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China.
ISA Transactions
|March 2, 2024
Summary
This study presents a new fixed-time formation control method for unmanned surface vehicles (USVs) that accurately estimates unmeasurable velocities and disturbances, ensuring stable formation.
Area of Science:
- Robotics and Control Systems
- Marine Engineering
- Autonomous Systems
Background:
- Formation control of multiple unmanned surface vehicles (USVs) faces challenges due to uncertain dynamics, unmeasurable velocities, and external disturbances.
- Existing methods often struggle with fixed-time convergence and accurate estimation of system states and disturbances.
Purpose of the Study:
- To develop a novel distributed global output-feedback fixed-time formation controller (GOFFC) for multiple USVs.
- To address uncertainties in coefficient matrices, unmeasurable velocities, and time-varying disturbances in USV formation control.
- To ensure fixed-time convergence of the closed-loop system.
Main Methods:
- A global coordinate translation is employed to partially linearize the nonlinear dynamic model, accommodating unmeasurable velocities.
- A fixed-time extended two-state observer (FTETSO) is designed to estimate unmeasurable velocities and total disturbances within a fixed time.
- A sliding mode control technique is integrated with the FTETSO to develop the distributed global output-feedback fixed-time formation controller (GOFFC).
Main Results:
- The proposed FTETSO achieves fixed-time convergence of estimation errors for velocities and disturbances.
- The developed GOFFC ensures fixed-time formation control for multiple USVs under considered uncertainties.
- Simulation results validate the effectiveness and stability of the proposed control approach.
Conclusions:
- The novel FTETSO-based distributed GOFFC effectively solves the formation control problem for USVs with uncertainties.
- The proposed method guarantees fixed-time convergence, enhancing the performance and reliability of USV formations.
- This research contributes a robust control strategy for advanced marine autonomous systems.
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