Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach

doi:10.1109/TCYB.2019.2927309

CORC > 自动化研究所 > 中国科学院自动化研究所 > 综合信息系统研究中心 > 飞行器智能技术

	Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach
	Tao, Xinlong 1,2; Yi, Jianqiang 1,2; Pu, Zhiqiang 1,2; Xiong, Tianyi 1,2
刊名	IEEE TRANSACTIONS ON CYBERNETICS
	2021-05-01
卷号	51 期号:5 页码:2504-2517
关键词	Adaptation models Aerodynamics Adaptive systems Fuzzy logic Atmospheric modeling Control design Vehicle dynamics Adaptive control hypersonic vehicle interval type-2 fuzzy logic system (IT2-FLS) robust control small-gain approach
ISSN号	2168-2267
DOI	10.1109/TCYB.2019.2927309
通讯作者	Pu, Zhiqiang(zhiqiang.pu@ia.ac.cn)
英文摘要	This paper presents a novel robust adaptive tracking control method for a hypersonic vehicle in a cruise flight stage based on interval type-2 fuzzy-logic system (IT2-FLS) and small-gain approach. After the input-output linearization, the vehicle model can be decomposed into two uncertain subsystems by considering matching disturbances and parametric uncertainties. For each subsystem, an interval type-2 Takagi-Sugeno-Kang fuzzy logic system (IT2-TSK-FLS) is then employed to approximate the unavailable model information. Following the idea of a small-gain approach, a composite feedback form for each subsystem is constructed, based on which the final robust adaptive tracking control law is developed. Rigorous stability analysis shows that all signals in the derived closed-loop system are kept uniformly ultimately bounded (UUB). The main contribution of this paper is that the proposed control law for the hypersonic vehicle is with only two adaptive parameters in total which can greatly alleviate the computation and storage burden in practice; meanwhile its superiority over the conventional minimal-learning-parameter (MLP)-based one is specifically illustrated. Comparative numerical simulations of three cases demonstrate the effectiveness of our proposed control method with respect to complicated uncertainties.
资助项目	National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61603383] ; National Natural Science Foundation of China[61603384] ; Beijing Advanced Innovation Center of Intelligent Robots and Systems[2016IRS23]
WOS关键词	NONLINEAR CONTROL ; FLIGHT DYNAMICS ; OBSERVER DESIGN ; NEURAL-CONTROL ; UNCERTAINTY ; STATE
WOS研究方向	Automation & Control Systems ; Computer Science
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000641968100018
资助机构	National Natural Science Foundation of China ; Beijing Advanced Innovation Center of Intelligent Robots and Systems
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44527]
专题	综合信息系统研究中心_飞行器智能技术
通讯作者	Pu, Zhiqiang
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Tao, Xinlong,Yi, Jianqiang,Pu, Zhiqiang,et al. Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021,51(5):2504-2517.
APA	Tao, Xinlong,Yi, Jianqiang,Pu, Zhiqiang,&Xiong, Tianyi.(2021).Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach.IEEE TRANSACTIONS ON CYBERNETICS,51(5),2504-2517.
MLA	Tao, Xinlong,et al."Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach".IEEE TRANSACTIONS ON CYBERNETICS 51.5(2021):2504-2517.