Issue |
JNWPU
Volume 39, Number 5, October 2021
|
|
---|---|---|
Page(s) | 995 - 1004 | |
DOI | https://doi.org/10.1051/jnwpu/20213950995 | |
Published online | 14 December 2021 |
Robust dynamic inversion control of flight control system based on L1 adaptive structure
基于L1自适应结构的动态逆飞行控制方法研究
1
School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
2
Shaanxi Province Key Laboratory of Flight Control and Simulation Technology, Xi'an 710129, China
3
AVIC Chengdu Aircraft Design and Research Institute, Chengdu 610091, China
Received:
8
January
2021
Nonlinear Dynamic Inversion(NDI) control has excellent rapidity and decoupling ability, unfortunately it lacks the essential robustness to disturbance. From the perspective of enhancing the robustness, an adaptive NDI method based on L1 adaptive structure is proposed. The L1 adaptive structure is introduced into the NDI control to enhance its robustness, which also guarantees the stability and expected dynamic performance of the system suffering from the disturbance influence. Secondly, the flight control law of the advanced aircraft is designed based on the present method to improve the robustness and fault tolerance of the flight control system. Finally, the effectiveness of the flight control law based on the present approach is verified under the fault disturbance. The results showed that the flight control law based on L1 adaptive NDI has excellent dynamic performance and strong robustness to parameter uncertainties and disturbances.
摘要
非线性动态逆控制具有很好的快速性和解耦能力,但自身缺乏必要的鲁棒性。因此,从提高动态逆控制方法鲁棒性的角度出发,提出一种动态性能优异、强鲁棒的L1自适应结构的自适应动态逆控制方法。该方法通过引入L1自适应结构来增强动态逆控制的鲁棒性,并且保证系统在扰动干扰下的稳定性和动态性能。基于此方法设计了飞行控制律,旨在提高飞控系统的鲁棒性和容错能力。在故障干扰下验证了所设计控制器的有效性,仿真结果表明基于L1自适应动态逆设计的飞行控制器在参数不确定性等扰动具有强大的鲁棒性,能够保证系统在扰动下依旧达到期望的动态性能。
Key words: L1 adaptive structure dynamic inversion control / robustness / stability / projection operator / flight control system / controller design
关键字 : L1自适应动态逆控制 / 鲁棒性 / 稳定性 / 投影算子 / 飞行控制系统 / 控制器设计
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.