[1]陈昶荣,许 鑫,崔东辉,等.基于神经网络的飞行器协同编队控制研究[J].控制与信息技术(原大功率变流技术),2019,(04):29-38.[doi:10.13889/j.issn.2096-5427.2019.04.006]
 CHEN Changrong,XU Xin,CUI Donghui,et al.Research on Aircraft Cooperative Formation Control Based on Neural Network[J].High Power Converter Technology,2019,(04):29-38.[doi:10.13889/j.issn.2096-5427.2019.04.006]
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基于神经网络的飞行器协同编队控制研究()
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《控制与信息技术》(原《大功率变流技术》)[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2019年04期
页码:
29-38
栏目:
“中国飞行力学学术年会”专刊
出版日期:
2019-08-05

文章信息/Info

Title:
Research on Aircraft Cooperative Formation Control Based on Neural Network
文章编号:
2096-5427(2019)04-0029-10
作者:
陈昶荣许 鑫崔东辉程 进
(北京机电工程研究所,北京 100074)
Author(s):
CHEN ChangrongXU XinCUI DonghuiCHENG Jin
( Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China )
关键词:
Leader-Follower协同控制神经网络滑模变结构过载饱和
Keywords:
Leader-Follower cooperative control neural network sliding mode variable structure overload saturation
分类号:
V249.1
DOI:
10.13889/j.issn.2096-5427.2019.04.006
文献标志码:
A
摘要:
针对Leader-Follower结构飞行器协同编队制导控制问题,以侧滑转弯飞行器为研究对象,对制导回路与控制回路进行分析设计。首先在惯性空间中定义相对运动坐标系,建立相对运动模型;其次将Leader加速度信息作为扰动量,结合滑模变结构与神经网络理论设计了编队制导律,并考虑过载饱和问题,给出制导参数确定规则;最后设计控制系统,并证明了制导控制系统稳定性。仿真结果表明所设计的制导控制系统能够快速精确地对期望编队队形进行构建并保持。
Abstract:
Aiming at the guidance and control problem of aircraft cooperative formation based on Leader-Follower structure, the guidance loop and control loop of the side-slip turning aircraft were analyzed and designed. Firstly, relative motion coordinate system is defined in inertial space, and relative motion model is established. Secondly, the acceleration information of a Leader is taken as disturbance, and the formation guidance law is designed based on sliding mode variable structure and neural network theory. Considering the problem of overload saturation, the rules for determining guidance parameters are given. Finally, the control system is designed and the stability of the guidance and control system is proved. The simulation results show that the designed guidance and control system can construct and maintain the desired formation quickly and accurately.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-05-15
作者简介:陈昶荣(1994—),男,硕士研究生,研究方向为宇航科学与技术。
更新日期/Last Update: 2019-08-20