An event-triggered adaptive backstepping control method is proposed to address the multiple autonomous underwater vehicles (AUVs) formation tracking problem, which involves four degrees of freedom (4-DOF), nonlinear dynamics, parametric uncertainties and unknown external disturbances. By designing an appropriate event-triggering condition, the proposed approach significantly reduces communication and computational burdens, while effectively suppressing the effects of disturbances and uncertainties, and achieving efficient and robust cooperative control of multi-AUV formations. Theoretical analysis and simulation results show that the proposed method ensures that all closed-loop system signals are uniform ultimately bounded (UUB) and effectively avoids Zeno behavior, which verifies the feasibility and effectiveness of the designed control strategy.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Adaptive Formation Control of Multi-AUVs with ETM

  • Yulin Luo,
  • Jing Li,
  • Yang Du

摘要

An event-triggered adaptive backstepping control method is proposed to address the multiple autonomous underwater vehicles (AUVs) formation tracking problem, which involves four degrees of freedom (4-DOF), nonlinear dynamics, parametric uncertainties and unknown external disturbances. By designing an appropriate event-triggering condition, the proposed approach significantly reduces communication and computational burdens, while effectively suppressing the effects of disturbances and uncertainties, and achieving efficient and robust cooperative control of multi-AUV formations. Theoretical analysis and simulation results show that the proposed method ensures that all closed-loop system signals are uniform ultimately bounded (UUB) and effectively avoids Zeno behavior, which verifies the feasibility and effectiveness of the designed control strategy.