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Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators
Chang, Yafei1,2; Jiang, Tiantian1,2; Pu, Zhiqiang3
Source PublicationAEROSPACE SCIENCE AND TECHNOLOGY
2017-09-01
Volume68Pages:475-485
SubtypeArticle
AbstractStrong uncertainties and time-variations of hypersonic vehicles during the reentry phase pose huge challenges to their control system design. This paper addresses a novel adaptive output feedback control scheme based on characteristic models with fuzzy neural network estimators to guarantee the stable and accurate attitude tracking for the hypersonic vehicle, which is subject to unknown time-varying aerodynamics. By characteristic modeling, the time-varying uncertainties are integrated into several characteristic parameters to be estimated online, which inherit the time-variation property from the aerodynamics. And then the characteristic model-based adaptive control law is constructed, while the fuzzy neural network estimators are designed to estimate the time-varying characteristic parameters. The control performances including the property of estimators and the attitude tracking error are also analyzed. At last, the effectiveness of the proposed adaptive control scheme is illustrated by several representative simulations. (C) 2017 Elsevier Masson SAS. All rights reserved.
KeywordHypersonic Vehicle Uncertainty Time-variation Characteristic Model-based Adaptive Control Fuzzy Neural Network Estimator
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.ast.2017.05.043
WOS KeywordTRAJECTORY TRACKING ; CONTROL DESIGN ; UNCERTAINTY ; PHASE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61333008 ; 61603038)
WOS Research AreaEngineering
WOS SubjectEngineering, Aerospace
WOS IDWOS:000407185700044
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20707
Collection综合信息系统研究中心
Affiliation1.Beijing Inst Control Engn, Beijing 100190, Peoples R China
2.Sci & Technol Space Intelligent Control Lab, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Chang, Yafei,Jiang, Tiantian,Pu, Zhiqiang. Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators[J]. AEROSPACE SCIENCE AND TECHNOLOGY,2017,68:475-485.
APA Chang, Yafei,Jiang, Tiantian,&Pu, Zhiqiang.(2017).Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators.AEROSPACE SCIENCE AND TECHNOLOGY,68,475-485.
MLA Chang, Yafei,et al."Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators".AEROSPACE SCIENCE AND TECHNOLOGY 68(2017):475-485.
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