CASIA OpenIR
Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints
Liu, Yan-Jun1; Zeng, Qiang1; Tong, Shaocheng1; Chen, C. L. Philip2,3,4; Liu, Lei1
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN0278-0046
2019-12-01
Volume66Issue:12Pages:9458-9466
Corresponding AuthorLiu, Yan-Jun(liuyanjun@live.com)
AbstractIn this paper, an adaptive neural network (NN) control scheme is proposed for a quarter-car model, which is the active suspension system (ASS) with the time-varying vertical displacement and speed constraints and unknown mass of car body. The NNs are used to approximate the unknown mass of car body. It is commonly known that the stability and security of the ASSs will be weakened when the constraints are violated. Thus, the control problem of the time-varying vertical displacement and speed constraints for the quarter-car ASSs is a very important task because of the demand of the handing safety. The time-varying barrier Lyapunov functions are used to guarantee the constraints of the vertical displacement not violated, and it can prove the stability of the closed-loop system. Finally, a simulation example for the ASSs is employed to show the feasibility and rationality of the proposed approach.
KeywordActive suspension systems (ASSs) adaptive control barrier Lyapunov function (BLF) neural networks (NNs)
DOI10.1109/TIE.2019.2893847
WOS KeywordSLIDING-MODE CONTROL ; FEEDBACK NONLINEAR-SYSTEMS ; BARRIER LYAPUNOV FUNCTIONS ; DYNAMIC SURFACE CONTROL ; TRACKING CONTROL ; PARAMETER-ESTIMATION ; FUZZY CONTROL ; OBSERVER ; INPUT ; DELAY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61622303] ; National Natural Science Foundation of China[61603164] ; National Natural Science Foundation of China[61773188] ; National Natural Science Foundation of China[61803189] ; National Natural Science Foundation of China[61803190] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[U1813203] ; Program for Liaoning Innovative Research Team in University[LT2016006] ; Fundamental Research Funds for the Universities of Liaoning Province[JZL201715402] ; Program for Distinguished Professor of Liaoning Province
Funding OrganizationNational Natural Science Foundation of China ; Program for Liaoning Innovative Research Team in University ; Fundamental Research Funds for the Universities of Liaoning Province ; Program for Distinguished Professor of Liaoning Province
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000480309400034
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/27524
Collection中国科学院自动化研究所
Corresponding AuthorLiu, Yan-Jun
Affiliation1.Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
2.Univ Macau, Fac Sci & Technol, Dept Comp & Informat Sci, Macau 99999, Peoples R China
3.Dalian Maritime Univ, Dalian 116026, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yan-Jun,Zeng, Qiang,Tong, Shaocheng,et al. Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2019,66(12):9458-9466.
APA Liu, Yan-Jun,Zeng, Qiang,Tong, Shaocheng,Chen, C. L. Philip,&Liu, Lei.(2019).Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,66(12),9458-9466.
MLA Liu, Yan-Jun,et al."Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 66.12(2019):9458-9466.
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