Augmented safety guarantee-based area keeping control for an underactuated USV with environmental disturbances
Minling Wu1, Lijun Liu2, Zhen Yu1
1School of Aerospace Engineering, Xiamen University, Xiamen 361000, China.
ISA Transactions
|September 5, 2021
Summary
This study introduces a novel control method for unmanned surface vessels (UUSVs) that enhances safety and stability during area keeping, even with environmental disturbances. The approach integrates control barrier functions and control Lyapunov functions for superior performance.
Area of Science:
- Marine robotics
- Control systems engineering
- Autonomous navigation
Background:
- Underactuated unmanned surface vessels (UUSVs) face challenges in maintaining stability and safety during area keeping maneuvers, especially under environmental disturbances.
- Existing methods like Weather Optimal Control (WOC) may not fully address nonlinear safety constraints.
Purpose of the Study:
- To develop an accurate area keeping control method for UUSVs with augmented safety guarantees.
- To ensure both safety and stability during UUSV area keeping operations in the presence of environmental factors.
Main Methods:
- An augmented safety guarantee was constructed using control barrier functions (CBFs) on general manifolds to handle nonlinear safety constraints.
- Stability constraints were formulated by integrating control Lyapunov functions (CLFs) and a Weather Optimal Control (WOC) method.
- A quadratic program (QP) was employed to unify safety and stability constraints, creating an optimal area keeping controller.
Main Results:
- The proposed method successfully integrates safety considerations into the optimal area keeping control of UUSVs.
- Simulation results demonstrated the feasibility of the developed control strategy.
- The new method showed superiority compared to the conventional WOC approach.
Conclusions:
- The proposed accurate area keeping control method with augmented safety guarantee is effective for UUSVs operating under environmental disturbances.
- The integration of CBFs and CLFs provides a robust framework for balancing safety and stability.
- This approach offers a significant advancement for autonomous marine navigation systems.
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