Modeling and distributed adaptive fault-tolerant vibration control for bridge beam with single-parameter adaptive neural network

doi:10.1002/acs.3179

	Modeling and distributed adaptive fault-tolerant vibration control for bridge beam with single-parameter adaptive neural network
	Gao, Shiqi 1; Yang, Hongjun2 ; Liu, Jinkun 1
发表期刊	INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
ISSN	0890-6327
	2020-09-24
页码	16
通讯作者	Liu, Jinkun(ljk@buaa.edu.cn)
摘要	Modeling and vibration control of a bridge beam system are considered in this article. The beam bridge with both ends fixed can be regarded as an Euler-Bernoulli beam, which is a typical distributed parameter system. First, the partial differential equations (PDE) model of the bridge was established according to the Hamilton principle. Then, a reasonable distributed control law was designed on the PDE model to eliminate the elastic deformation and suppress the vibration of the bridge. At the same time, uncertainties related to system status were considered during the design of the closed-loop system. In addition, the possible actuator and sensor faults in the control system were analyzed. Single-parameter adaptive neural networks were used to estimate the effects of coupling terms for uncertainties and faults. The parameter estimation adaptive law was designed to replace the adjustment of neural network weights, which simplifies the algorithm and facilitates practical engineering applications. Finally, the feasibility of the control system was verified by simulation.
关键词	actuator fault distributed control distributed parameter system sensor fault single-parameter neural network vibration control
DOI	10.1002/acs.3179
关键词[WOS]	FLEXIBLE-LINK MANIPULATOR ; SYSTEMS ; INPUT ; CRANE
收录类别	SCI
语种	英语
资助项目	CAS Prospective Deployment Project[ZDRW-KT-2019-1-010402] ; National Natural Science Foundation of China[61873296]
项目资助者	CAS Prospective Deployment Project ; National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000572264200001
出版者	WILEY
引用统计	被引频次：2[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/173211/41983
专题	复杂系统认知与决策实验室_先进机器人
通讯作者	Liu, Jinkun
作者单位	1.Beihang Univ, Sch Automat Sci & Elect Engn, Xueyuan Rd 37, Beijing 100191, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Gao, Shiqi,Yang, Hongjun,Liu, Jinkun. Modeling and distributed adaptive fault-tolerant vibration control for bridge beam with single-parameter adaptive neural network[J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,2020:16.
APA	Gao, Shiqi,Yang, Hongjun,&Liu, Jinkun.(2020).Modeling and distributed adaptive fault-tolerant vibration control for bridge beam with single-parameter adaptive neural network.INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING,16.
MLA	Gao, Shiqi,et al."Modeling and distributed adaptive fault-tolerant vibration control for bridge beam with single-parameter adaptive neural network".INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING (2020):16.