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

文献类型：期刊论文

作者Gao, Shiqi1; Yang, Hongjun2; Liu, Jinkun1
刊名INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
出版日期2020-09-24
页码16
ISSN号0890-6327
关键词actuator fault distributed control distributed parameter system sensor fault single-parameter neural network vibration control
DOI10.1002/acs.3179
通讯作者Liu, Jinkun(ljk@buaa.edu.cn)
英文摘要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.
WOS关键词FLEXIBLE-LINK MANIPULATOR ; SYSTEMS ; INPUT ; CRANE
资助项目CAS Prospective Deployment Project[ZDRW-KT-2019-1-010402] ; National Natural Science Foundation of China[61873296]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
出版者WILEY
WOS记录号WOS:000572264200001
资助机构CAS Prospective Deployment Project ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/41982]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
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.

入库方式： OAI收割

来源：自动化研究所

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