TY - GEN
T1 - Active Disturbance Rejection Controller via Dynamic Weighted Mutant Pigeon-Inspired Optimization for UAV Close Formation Flight
AU - Yuan, Guangsong
AU - Duan, Haibin
AU - Sun, Yongbin
AU - Wei, Chen
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The attitude controller design of the un-manned aerial vehicle (UAV) close formation control system is investigated in this paper. Since the attitude controller will be implemented on the trailing UAV to stabilize the attitude under the influence of the wake vortex, the attitude model of the trailing UAV is developed firstly. According to the developed attitude model, the attitude controller is designed using the active disturbance rejection control (ADRC). Considering the inefficiency of manually tuning ADRC parameters, the dynamic weighted mutant pigeon-inspired optimization (DWMPIO) is proposed to optimize the parameters. In comparison with the traditional PIO and the particle swarm optimization (PSO), the DWMPIO can converges to a better position. The simulation results show the DWMPIO can make the designed ADRC attitude controller realize the optimal performance. Under the influence of the wake vortex, the designed ADRC attitude controller has a stronger attitude stability in comparison with the proportional integral (PI) attitude controller.
AB - The attitude controller design of the un-manned aerial vehicle (UAV) close formation control system is investigated in this paper. Since the attitude controller will be implemented on the trailing UAV to stabilize the attitude under the influence of the wake vortex, the attitude model of the trailing UAV is developed firstly. According to the developed attitude model, the attitude controller is designed using the active disturbance rejection control (ADRC). Considering the inefficiency of manually tuning ADRC parameters, the dynamic weighted mutant pigeon-inspired optimization (DWMPIO) is proposed to optimize the parameters. In comparison with the traditional PIO and the particle swarm optimization (PSO), the DWMPIO can converges to a better position. The simulation results show the DWMPIO can make the designed ADRC attitude controller realize the optimal performance. Under the influence of the wake vortex, the designed ADRC attitude controller has a stronger attitude stability in comparison with the proportional integral (PI) attitude controller.
UR - https://www.scopus.com/pages/publications/85141219563
U2 - 10.1109/CYBER55403.2022.9907226
DO - 10.1109/CYBER55403.2022.9907226
M3 - 会议稿件
AN - SCOPUS:85141219563
T3 - 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
SP - 7
EP - 12
BT - 2022 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
Y2 - 27 July 2022 through 31 July 2022
ER -