基于变权重变异鸽群优化的无人机空中加油自抗扰控制器设计

doi:10.7527/S1000-6893.2019.23490

Abstract

Abstract: 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.

Key words: aerial refueling, variable weighted mutant pigeon inspired optimization, active disturbance rejection control, parameter tuning, attitude control

CLC Number:

TP273

FEI Lun, DUAN Haibin, XU Xiaobin, BAO Rui, SUN Yongbin. ADRC controller design for UAV based on variable weighted mutant pigeon inspired optimization[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(1): 323490-323490.

References 21

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

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