Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach
Li, Genghuan1,2; Jia, Qingxian1,2; Wu, Yunhua1,2; Liao, He1,2; Zheng, Zhong3
2024-12-11
发表期刊AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
ISSN1748-8842
摘要PurposeThis paper aims to investigate the attitude synchronization issue of multi-spacecraft formation flying systems under the limited communication resources.Design/methodology/approachThe authors propose a distributed learning Chebyshev neural network controller (LCNNC) combining a dynamic event-triggered (DET) mechanism and a learning CNN model to achieve accurate multi-spacecraft attitude synchronization under communication constraints.FindingsThe proposed method can significantly reduce the internal communication frequency and improve the attitude synchronization accuracy.Practical implicationsThis method requires the low communication resources, has a high control accuracy and is thus suitable for engineering applications.Originality/valueA novel DET mechanism-based LCNNC is proposed to achieve the accurate multi-spacecraft attitude synchronization under communication constraints.
关键词Spacecraft formation Attitude synchronization Chebyshev neural network Dynamic event-triggered Iterative learning algorithm
DOI10.1108/AEAT-06-2024-0188
收录类别SCIE
语种英语
WOS研究方向Engineering
WOS类目Engineering, Aerospace
WOS记录号WOS:001372465000001
出版者EMERALD GROUP PUBLISHING LTD
原始文献类型Article ; Early Access
EISSN1758-4213
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.library.ouchn.edu.cn/handle/39V7QQFX/173659
专题国家开放大学江苏分部
通讯作者Jia, Qingxian
作者单位1.Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing, Peoples R China;
2.Nanjing Tech Univ, Nanjing, Peoples R China;
3.Jiangsu Open Univ, Sch informat technol, Nanjing, Peoples R China
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Li, Genghuan,Jia, Qingxian,Wu, Yunhua,et al. Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach[J]. AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY,2024.
APA Li, Genghuan,Jia, Qingxian,Wu, Yunhua,Liao, He,&Zheng, Zhong.(2024).Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach.AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY.
MLA Li, Genghuan,et al."Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach".AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY (2024).
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