TY - JOUR
T1 - Predefined Time and Prespecified Precision for Bearing-Constrained AAV Swarm
AU - Zhang, Tao
AU - Yu, Dengxiu
AU - Hao Cheong, Kang
AU - Liu, Yanjun
AU - Wang, Zhen
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2025
Y1 - 2025
N2 - This article presents a bearing-based formation control method for autonomous aerial vehicle (AAV) swarms, allowing users to specify both convergence time and precision in advance. Unlike traditional distance-based methods, which rely on intricate distance measurements, our approach simplifies constraints using bearing information, reducing hardware and sensing requirements. It also eliminates the need to update control commands for each AAV, as formation reconfiguration can be achieved solely by adjusting the motion trajectory of formation leaders. Moreover, the strategy demonstrates enhanced robustness in addressing real-world input constraints. A continuous hyperbolic tangent saturation function and an input saturation compensation system are incorporated, ensuring system convergence and precision while addressing singularity issues. In addition, unlike conventional bearing-based strategies focusing primarily on convergence time, the proposed algorithm enables preset control over both convergence time and precision. Finally, the effectiveness of the proposed approach is validated through several illustrative examples, including a 6-degree-of-freedom (6DoF) quadrotor AAV swarm, highlighting its practical applicability and performance.
AB - This article presents a bearing-based formation control method for autonomous aerial vehicle (AAV) swarms, allowing users to specify both convergence time and precision in advance. Unlike traditional distance-based methods, which rely on intricate distance measurements, our approach simplifies constraints using bearing information, reducing hardware and sensing requirements. It also eliminates the need to update control commands for each AAV, as formation reconfiguration can be achieved solely by adjusting the motion trajectory of formation leaders. Moreover, the strategy demonstrates enhanced robustness in addressing real-world input constraints. A continuous hyperbolic tangent saturation function and an input saturation compensation system are incorporated, ensuring system convergence and precision while addressing singularity issues. In addition, unlike conventional bearing-based strategies focusing primarily on convergence time, the proposed algorithm enables preset control over both convergence time and precision. Finally, the effectiveness of the proposed approach is validated through several illustrative examples, including a 6-degree-of-freedom (6DoF) quadrotor AAV swarm, highlighting its practical applicability and performance.
KW - Bearing-constrained autonomous aerial vehicle (AAV) swarm
KW - input saturation
KW - predefined time control
KW - prespecified precision control
UR - http://www.scopus.com/inward/record.url?scp=105003823332&partnerID=8YFLogxK
U2 - 10.1109/TCYB.2025.3539704
DO - 10.1109/TCYB.2025.3539704
M3 - 文章
C2 - 40042946
AN - SCOPUS:105003823332
SN - 2168-2267
VL - 55
SP - 2174
EP - 2187
JO - IEEE Transactions on Cybernetics
JF - IEEE Transactions on Cybernetics
IS - 5
ER -