Paper
14 October 2022 Formation control of fixed-wing UAV under state saturation constraints
Jiuxu Zou, Bing Wang, Yuquan Chen, Jiale Liu, Yingtao Sun
Author Affiliations +
Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123431C (2022) https://doi.org/10.1117/12.2648854
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China
Abstract
Formation control is the basis for the UAV swarm system to complete the task efficiently. During the flight of UAVs, due to the limits of maneuverability and flight performance, there is a phenomenon of state saturation, which has an extremely important impact on the stability and accuracy of UAV swarm formations. Aiming at the saturation of speed, acceleration and angular velocity in the process of UAV formation, this paper proposes a fixed-wing UAV formation flight control strategy under the condition of state saturation constraints. First, the three-degree-of-freedom dynamic model of the fixed-wing UAV with decoupling of lateral and longitudinal motion is used. The formation control law of the fixed-wing UAV under stateless saturation is designed based on the consensus algorithm. Then, considering the state saturation of the UAV's speed, acceleration and angular velocity, the feedback signal generated by the control law is constrained to adjust. The Lyapunov function is designed to prove the convergence of the formation control strategy. Finally, the effectiveness of the control strategy is verified by simulation.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiuxu Zou, Bing Wang, Yuquan Chen, Jiale Liu, and Yingtao Sun "Formation control of fixed-wing UAV under state saturation constraints", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123431C (14 October 2022); https://doi.org/10.1117/12.2648854
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KEYWORDS
Unmanned aerial vehicles

Feedback signals

Motion models

Complex systems

Computer simulations

Kinematics

Control systems

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