TY - JOUR
T1 - Practical Fixed-Time Fault-Tolerant Cooperative Path Following for ASVs via Event-Triggered Communication and Intermittent Control
AU - Liu, Jian
AU - Zhuang, Yu
AU - Liu, Jun
AU - Mu, Chaoxu
AU - Sun, Changyin
N1 - Publisher Copyright:
© 2000-2011 IEEE.
PY - 2025/11
Y1 - 2025/11
N2 - This study presents a new fixed-time collision-free cooperative path following control algorithm for underactuated autonomous surface vehicles (ASVs) via event-triggered communication and aperiodically intermittent control (AIC), and it accounts for unknown disturbances, including actuator failures. To achieve the expected formation, a fixed-time path parameter consistency algorithm is proposed based on the event-triggered communication. Then, an improved guidance law is designed to obtain the desired heading angle and surge velocity. For collision avoidance, by utilizing the communication among vehicles and safety distances within the formation, the realistic optimal heading angle and velocity can be searched by the velocity obstacle method. Furthermore, a fuzzy logic system is employed to estimate the effects of the unknown actuator faults and environment disturbances, and the fixed-time fuzzy controllers are developed via AIC. Finally, the effectiveness and availability of the proposed algorithms are verified by simulation experiments.
AB - This study presents a new fixed-time collision-free cooperative path following control algorithm for underactuated autonomous surface vehicles (ASVs) via event-triggered communication and aperiodically intermittent control (AIC), and it accounts for unknown disturbances, including actuator failures. To achieve the expected formation, a fixed-time path parameter consistency algorithm is proposed based on the event-triggered communication. Then, an improved guidance law is designed to obtain the desired heading angle and surge velocity. For collision avoidance, by utilizing the communication among vehicles and safety distances within the formation, the realistic optimal heading angle and velocity can be searched by the velocity obstacle method. Furthermore, a fuzzy logic system is employed to estimate the effects of the unknown actuator faults and environment disturbances, and the fixed-time fuzzy controllers are developed via AIC. Finally, the effectiveness and availability of the proposed algorithms are verified by simulation experiments.
KW - Autonomous surface vehicles (ASVs)
KW - cooperative path following
KW - event-triggered communication
KW - fixed-time control
KW - intermittent control
UR - https://www.scopus.com/pages/publications/105018178239
U2 - 10.1109/TITS.2025.3589479
DO - 10.1109/TITS.2025.3589479
M3 - 文章
AN - SCOPUS:105018178239
SN - 1524-9050
VL - 26
SP - 19893
EP - 19906
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 11
ER -