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Observer-based robust adaptive T2 fuzzy tracking control for flexible air-breathing hypersonic vehicles
Liu, Yifan1,2; Pu, Zhiqiang1,2; Yi, Jianqiang1,2
Source PublicationIET CONTROL THEORY AND APPLICATIONS
2018-05-22
Volume12Issue:8Pages:1036-1045
SubtypeArticle
AbstractThis study presents an observer-based robust adaptive type-2 (T2) fuzzy tracking control scheme for the longitudinal dynamics of flexible air-breathing hypersonic vehicles. The control scheme is composed of three parts, namely an uncertain dynamics approximator, a reduced-order adaptive state observer, and command filter-based backstepping altitude and velocity controllers. First, the approximator is implemented by utilising interval T2 fuzzy logic systems for approximating unknown vehicle dynamics in the control scheme. Then, the reduced-order adaptive state observer is designed by the combination of the approximator and output state feedback techniques, which guarantee the estimation of unmeasurable states as well as uncertain dynamics identification. By using the linear matrix inequalities technique, a new condition for obtaining the gains of the state observer is presented. Next, on the basis of the designed approximator and state observer, the altitude and velocity tracking controllers are constructed by command-filtered backstepping control approach which avoids the explosion of complexity in conventional backstepping design. Thorough stability analysis of the closed-loop systems is conducted. Nominal and comparison simulation studies considering parametric uncertainty, incomplete state measurement, and measurement noises are carried out, illustrating the effectiveness of the proposed control scheme.
KeywordHypersonic Vehicle Output Feedback Control Type-2 Fuzzy System Linear Matrix Inequality
WOS HeadingsScience & Technology ; Technology
DOI10.1049/iet-cta.2017.1198
WOS KeywordMODEL-PREDICTIVE CONTROL ; FAULT-TOLERANT CONTROL ; BACK-STEPPING CONTROL ; DISTURBANCE OBSERVER ; NONLINEAR-SYSTEMS ; FLIGHT VEHICLE ; LOGIC SYSTEMS ; DESIGN ; CONSTRAINTS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61603383 ; Beijing Advanced Innovation Center of Intelligent Robots and Systems(2016IRS23) ; 61421004 ; CXJJ-16Z212.9)
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000431111000002
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21103
Collection综合信息系统研究中心
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Yifan,Pu, Zhiqiang,Yi, Jianqiang. Observer-based robust adaptive T2 fuzzy tracking control for flexible air-breathing hypersonic vehicles[J]. IET CONTROL THEORY AND APPLICATIONS,2018,12(8):1036-1045.
APA Liu, Yifan,Pu, Zhiqiang,&Yi, Jianqiang.(2018).Observer-based robust adaptive T2 fuzzy tracking control for flexible air-breathing hypersonic vehicles.IET CONTROL THEORY AND APPLICATIONS,12(8),1036-1045.
MLA Liu, Yifan,et al."Observer-based robust adaptive T2 fuzzy tracking control for flexible air-breathing hypersonic vehicles".IET CONTROL THEORY AND APPLICATIONS 12.8(2018):1036-1045.
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