TY - GEN
T1 - A Wake Avoidance Method for Unmanned Maritime Vehicles using a Trajectory-Circle-Based Control Barrier Function
AU - Fan, Yexin
AU - Yang, Haoyang
AU - Dong, Hongyang
AU - Yue, Weitao
AU - Zhao, Xiaowei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Efficient obstacle avoidance while controlling unmanned maritime vehicles (UMVs) is an important topic. Evading obstacles that are both time-varying and shapechanging, such as avoiding moving boats and their wake regions that vary with the boat's motion and propagate along time, is essential for UMV's safe operation yet a challenging task. To address this challenge, this paper proposes a novel trajectory-circle-based control barrier function (CBF) method for variable-area obstacle avoidance. As a stepping stone, the boundaries of obstacles are defined by modeling the relationship between the Kelvin wake pattern and the boat's motions, thereby defining the boundaries of obstacles. We propose a novel CBF formulation based on the geometric relationship between the collision area and UMV motion states. Particularly, we leverage the geometrical properties between the predictive circular trajectory and the collision area to construct invariant sets. Compared to traditional CBF-based methods, our design achieves smoother avoidance trajectories and requires smaller control corrections, guaranteeing a safe operation for UMVs.
AB - Efficient obstacle avoidance while controlling unmanned maritime vehicles (UMVs) is an important topic. Evading obstacles that are both time-varying and shapechanging, such as avoiding moving boats and their wake regions that vary with the boat's motion and propagate along time, is essential for UMV's safe operation yet a challenging task. To address this challenge, this paper proposes a novel trajectory-circle-based control barrier function (CBF) method for variable-area obstacle avoidance. As a stepping stone, the boundaries of obstacles are defined by modeling the relationship between the Kelvin wake pattern and the boat's motions, thereby defining the boundaries of obstacles. We propose a novel CBF formulation based on the geometric relationship between the collision area and UMV motion states. Particularly, we leverage the geometrical properties between the predictive circular trajectory and the collision area to construct invariant sets. Compared to traditional CBF-based methods, our design achieves smoother avoidance trajectories and requires smaller control corrections, guaranteeing a safe operation for UMVs.
KW - collision avoidance
KW - Control barrier function
KW - unmanned maritime vehicle
UR - https://www.scopus.com/pages/publications/86000605135
U2 - 10.1109/CDC56724.2024.10885836
DO - 10.1109/CDC56724.2024.10885836
M3 - Conference article published in proceeding or book
AN - SCOPUS:86000605135
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5832
EP - 5837
BT - 2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 63rd IEEE Conference on Decision and Control, CDC 2024
Y2 - 16 December 2024 through 19 December 2024
ER -