ADRC controller design for UAV based on variable weighted mutant pigeon inspired optimization

被引：0
|
作者：
Fei L. [1 ]
Duan H. [1 ,2 ]
Xu X. [1 ]
Bao R. [1 ]
Sun Y. [1 ]
机构：
[1] Bio-inspired Autonomous Flight Systems Research Group, School of Automation Science and Electrical Engineering, Beihang University, Beijing
[2] Peng Cheng Laboratory, Shenzhen
来源：
Duan, Haibin (hbduan@buaa.edu.cn) | 1600年 / Chinese Society of Astronautics卷 / 41期
基金：
中国国家自然科学基金;
关键词：
Active disturbance rejection control; Aerial refueling; Attitude control; Parameter tuning; Variable weighted mutant pigeon inspired optimization;
D O I：
10.7527/S1000-6893.2019.23490
中图分类号：
学科分类号：
摘要：
This paper addresses the various modeling errors and external disturbances in the process of aerial refueling and the difficulty of manual parameter setting of Active Disturbance Rejection Controller (ADRC) controllers. A Variable Weighted Mutant Pigeon Inspired Optimization (VWMPIO) algorithm for ADRC designed for Unmanned Aerial Vehicle (UAV) is proposed. First of all, this paper establishes a six degree-of-freedom UAV model and then designs an attitude controller based on the ADRC structure. On this basis, parameters of the controller are tuned with the VWMPIO algorithm proposed in this paper, and a comparison amongst the VWMPIO algorithm, the basic PIO algorithm, and the PSO optimization algorithms. In addition, the ADRC controller is compared with the traditional Proportional-Integral-Differential (PID) controller in terms of control performance and anti-noise performance. The experimental result shows that the proposed method can improve the control accuracy and disturbance rejection performance of UAV aerial refueling in complex situations. © 2020, Press of Chinese Journal of Aeronautics. All right reserved.
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  • [1] Quan Q., Wei Z.B., Gao J., Et al., A survey on modeling and control problems for probe and drogue autonomous aerial refueling at docking stage, Acta Aeronautica et Astronautica Sinica, 35, 9, pp. 2390-2410, (2014)
  • [2] Nicol C., Macnab C.J.B., Ramirez-Serrano A., Robust adaptive control of a quadrotor helicopter, Mechatronics, 21, 6, pp. 927-938, (2011)
  • [3] Enomoto K., Yamasaki T., Takano H., Et al., Guidance and control system design for chase UAV, Proceedings of GN & C Conference, pp. 440-453, (2008)
  • [4] Lungu M., Auto-landing of fixed wing unmanned aerial vehicles using the back-stepping control, ISA Transactions
  • [5] Han J.Q., Auto-disturbances-rejection controller and its applications, Control and Decision, 13, 1, pp. 19-23, (1998)
  • [6] Sun L., Wu G.Z., Application and optimize design of active disturbance rejection controller, Electric Machines & Control Application, 37, 3, pp. 26-30, (2010)
  • [7] Yang L.B., Zhang W.G., Huang D.G., Robust trajectory tracking for quadrotor aircraft based on ADRC attitude decoupling control, Journal of Beijing University of Aeronautics and Astronautics, 41, 6, pp. 1026-1033, (2015)
  • [8] Wu C., Wang H.W., Zhang Y.W., Et al., LADRC based trajectory tracking for unmanned helicopter, Acta Aeronautica et Astronautica Sinica, 36, 2, pp. 473-483, (2015)
  • [9] Su Z., Wang H., Yao P., Et al., Back-stepping based anti-disturbance flight controller with preview methodology for autonomous aerial refueling, Aerospace Science and Technology, 61, pp. 95-108, (2017)
  • [10] Fu C., Tian Y., Peng C., Et al., Path tracking control for eight-rotor aircraft based on linear ADRC algorithm, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), pp. 2147-2152, (2016)
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