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基于自适应神经网络Backstepping空中加油编队飞行控制
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Affiliation of Author(s):自动化学院

Journal:兵工自动化

Key Words:自主空中加油;编队飞行;L1导引;自适应神经网络;Backstepping;

Abstract:为解决无人机自主空中加油过程加油机和受油机编队飞行控制的问题,提出了对受油机采用导引回路和姿态回路分离控制策略,采用L1导引算法设计一种基于自适应神经网络Backstepping飞行控制器。将改进的L1导引算法应用于受油机的横向和纵向的导引,使用自适应神经网络补偿受油机受到的外界的干扰和系统模型误差,神经网络权值矩阵通过自适应律在线更新,并结合Backstepping控制方法设计受油机的控制律。仿真结果表明:在受油机与加油机编队飞行过程中,该设计方法能有效提高受油机的跟踪精度和抗干扰能力,解决空中加油编队飞行控制问题。

Translation or Not:no

Date of Publication:2018-11-15

Co-author:李华东,安帅

Correspondence Author:ysz

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Associate Professor

Education Level:南京航空航天大学

Degree:Doctoral Degree in Engineering

School/Department:College of Automation Engineering

Discipline:Guidance, Navigation, and Control. Control Theory and Engineering. Control Science and Engineering

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