TY - GEN
T1 - Three-Dimensional Distributed Affine Formation Maneuver Control of Fixed-Wing UAV Swarm with Actuator Faults and Saturation Constraints
AU - Qin, Boyu
AU - Zhang, Dong
AU - Tang, Shuo
AU - Xu, Yang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - This paper tackles the challenging problem of distributed affine formation maneuver control of fixed-wing UAV swarm considering the 6-DOF flight dynamics with actuator faults and saturation constraints. The UAV swarm adopts the “multi-leader-multi-follower” structure with directed network topology. A novel multi-layer control framework is proposed to achieve 2 objectives: affine formation maneuver control and robust fault-tolerant flight control. In the upper layer, a new kind of distributed fixed-time state estimator (DFXTE) is designed for each leader and follower UAV to generate the affine formation maneuver reference trajectory. In the middle layer, the kinematics controller is designed to track the commanded maneuver reference trajectory. In the lower layer, a sliding-mode-control (SMC) based robust fault-tolerant outer-loop dynamics controller is designed to achieve speed tracking, and a robust inner-loop dynamics controller is subsequently developed based on the backstepping method to precisely track the corresponding inner-loop angles and angular velocities with actuator faults. In the inner-loop controller, a fixed-time extended state observer (FTESO) based active disturbance rejection control (ADRC) is adopted with a novel kind of adaptive super-twisting algorithm (ASTWA) to enhance the system robustness. Moreover, an auxiliary compensator is to preserve the actuator saturation constraints, and adaptive neural networks (NN) are applied to approximate and compensate the flight dynamics coupling. Finally, numerical simulations are conducted and illustrate the effectiveness of the proposed multi-layer control framework for the affine formation maneuver control of the fixed-wing UAV swarm under the actuator faults and saturation constraints.
AB - This paper tackles the challenging problem of distributed affine formation maneuver control of fixed-wing UAV swarm considering the 6-DOF flight dynamics with actuator faults and saturation constraints. The UAV swarm adopts the “multi-leader-multi-follower” structure with directed network topology. A novel multi-layer control framework is proposed to achieve 2 objectives: affine formation maneuver control and robust fault-tolerant flight control. In the upper layer, a new kind of distributed fixed-time state estimator (DFXTE) is designed for each leader and follower UAV to generate the affine formation maneuver reference trajectory. In the middle layer, the kinematics controller is designed to track the commanded maneuver reference trajectory. In the lower layer, a sliding-mode-control (SMC) based robust fault-tolerant outer-loop dynamics controller is designed to achieve speed tracking, and a robust inner-loop dynamics controller is subsequently developed based on the backstepping method to precisely track the corresponding inner-loop angles and angular velocities with actuator faults. In the inner-loop controller, a fixed-time extended state observer (FTESO) based active disturbance rejection control (ADRC) is adopted with a novel kind of adaptive super-twisting algorithm (ASTWA) to enhance the system robustness. Moreover, an auxiliary compensator is to preserve the actuator saturation constraints, and adaptive neural networks (NN) are applied to approximate and compensate the flight dynamics coupling. Finally, numerical simulations are conducted and illustrate the effectiveness of the proposed multi-layer control framework for the affine formation maneuver control of the fixed-wing UAV swarm under the actuator faults and saturation constraints.
KW - actuator faults and saturation
KW - Affine formation maneuver
KW - fixed-wing UAV swarm
KW - hierarchical control
UR - http://www.scopus.com/inward/record.url?scp=85200203221&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-3998-1_100
DO - 10.1007/978-981-97-3998-1_100
M3 - 会议稿件
AN - SCOPUS:85200203221
SN - 9789819739974
T3 - Lecture Notes in Electrical Engineering
SP - 1278
EP - 1296
BT - 2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I
A2 - Fu, Song
PB - Springer Science and Business Media Deutschland GmbH
T2 - Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023
Y2 - 16 October 2023 through 18 October 2023
ER -