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Global fixed-time prescribed performance control with fixed-time distributed state observer for non-cooperative
1School of Automation, Harbin University of Science and Technology, 150080, Harbin, China.
This study presents a new method for multiple unmanned surface vehicles (USVs) to track targets in complex marine environments using fixed-time control. The approach ensures fast and accurate tracking, even with initial condition uncertainties and external disturbances.
Area of Science:
- Robotics
- Control Systems Engineering
- Marine Engineering
Background:
- Cooperative tracking of non-cooperative targets by multiple unmanned surface vehicles (USVs) is challenging in complex marine environments.
- Existing methods often face limitations due to initial condition dependencies and external disturbances.
Purpose of the Study:
- To develop a robust fixed-time cooperative tracking control strategy for multiple USVs targeting a non-cooperative entity.
- To address limitations of initial state conditions and external disturbances in USV tracking systems.
Main Methods:
- A novel fixed-time distributed state observer (FDSO) was designed for target state estimation, independent of initial conditions.
- A global fixed-time prescribed performance control strategy incorporating an exponential fixed-time shift function (EFSF) was proposed.
- A fixed-time dynamic compensation (FDC) mechanism was introduced to counteract external disturbances.
Main Results:
- The proposed FDSO accurately estimates target states without relying on initial conditions.
- The control strategy ensures prescribed performance and eliminates initial error condition restrictions.
- The FDC mechanism effectively mitigates the impact of external disturbances on system performance.
- Lyapunov stability analysis confirmed the practically fixed-time stability of the closed-loop system.
- Simulations demonstrated fast convergence, high tracking accuracy, and robustness.
Conclusions:
- The developed fixed-time control strategy provides a robust and efficient solution for cooperative target tracking by USVs.
- The approach guarantees rapid convergence of tracking errors within a fixed time, outperforming traditional methods.
- This research contributes to advancing autonomous marine systems' capabilities in complex operational scenarios.
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