TY - JOUR
T1 - Improving Formation Maneuvering of Unmanned Surface Vehicles
T2 - A Finite-Time Distributed Approach With Velocity Constraints
AU - Wang, Ping
AU - Yu, Chengpu
AU - Lv, Maolong
AU - Park, Ju H.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents a novel approach for addressing the finite-time distributed formation maneuvering (FTDFM) of multiple unmanned surface vehicles (USVs), which takes into account the challenges posed by velocity and error constraints. Each USV is subject to parameter uncertainty, ocean disturbance, actuator fault, and input saturation, making the task of achieving reliable and accurate formation particularly challenging. To overcome these challenges and meet practical requirements, a finite-time (FT) performance function is selected as the constraint function, which ensures that the velocity and error of each USV stay within a given bounded set within a known time. Using FT stability theory, a new framework is proposed that integrates a tangent type barrier function and an improved backstepping approach to handle uncertainties and constraints. In this approach, a tracking differentiator (TD) is introduced to replace the virtual controller's derivative, and a smooth function is used to address the input saturation, effectively reducing the complexity and dynamic order of the algorithm. The proposed controller is capable of ensuring the realization of the desired formation within a finite time while maintaining the constraints without deviation. Additionally, by using the auxiliary variable technique, the proposed control method can also be applied to USVs with underactuated models. Simulation examples are provided to demonstrate the efficacy of the proposed control algorithm in achieving accurate and reliable formation maneuvering of multiple USVs under various constraints.
AB - This paper presents a novel approach for addressing the finite-time distributed formation maneuvering (FTDFM) of multiple unmanned surface vehicles (USVs), which takes into account the challenges posed by velocity and error constraints. Each USV is subject to parameter uncertainty, ocean disturbance, actuator fault, and input saturation, making the task of achieving reliable and accurate formation particularly challenging. To overcome these challenges and meet practical requirements, a finite-time (FT) performance function is selected as the constraint function, which ensures that the velocity and error of each USV stay within a given bounded set within a known time. Using FT stability theory, a new framework is proposed that integrates a tangent type barrier function and an improved backstepping approach to handle uncertainties and constraints. In this approach, a tracking differentiator (TD) is introduced to replace the virtual controller's derivative, and a smooth function is used to address the input saturation, effectively reducing the complexity and dynamic order of the algorithm. The proposed controller is capable of ensuring the realization of the desired formation within a finite time while maintaining the constraints without deviation. Additionally, by using the auxiliary variable technique, the proposed control method can also be applied to USVs with underactuated models. Simulation examples are provided to demonstrate the efficacy of the proposed control algorithm in achieving accurate and reliable formation maneuvering of multiple USVs under various constraints.
KW - Formation control
KW - finite-time
KW - underactuated
KW - unmanned surface vehicles
KW - velocity and input constraints
UR - https://www.scopus.com/pages/publications/85184818801
U2 - 10.1109/TIV.2024.3363438
DO - 10.1109/TIV.2024.3363438
M3 - Article
AN - SCOPUS:85184818801
SN - 2379-8858
VL - 9
SP - 6195
EP - 6207
JO - IEEE Transactions on Intelligent Vehicles
JF - IEEE Transactions on Intelligent Vehicles
IS - 10
ER -