Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators

doi:10.1016/j.ast.2017.05.043

	Adaptive control of hypersonic vehicles based on characteristic models with fuzzy neural network estimators
	Chang, Yafei 1,2; Jiang, Tiantian 1,2; Pu, Zhiqiang3
发表期刊	AEROSPACE SCIENCE AND TECHNOLOGY
	2017-09-01
卷号	68 页码:475-485
文章类型	Article
摘要	Strong 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.
关键词	Hypersonic Vehicle Uncertainty Time-variation Characteristic Model-based Adaptive Control Fuzzy Neural Network Estimator
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.ast.2017.05.043
关键词[WOS]	TRAJECTORY TRACKING ; CONTROL DESIGN ; UNCERTAINTY ; PHASE
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61333008 ; 61603038)
WOS研究方向	Engineering
WOS类目	Engineering, Aerospace
WOS记录号	WOS:000407185700044
引用统计	被引频次：33[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20707
专题	复杂系统认知与决策实验室_飞行器智能技术
作者单位	1.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
推荐引用方式 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.