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Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection

文献类型：期刊论文

作者Duan, Wenhui1,4; Xiao, Xiuchun2; Fu, Dongyang2; Yan, Jingwen3; Liu, Mei1; Zhang, Jiliang1; Jin, Long1,4
刊名IEEE ACCESS
出版日期2019
卷号7页码:102941-102950
关键词Chemical industry automatic control control design neural dynamics method rapid convergence perturbations rejection
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2930323
通讯作者Xiao, Xiuchun(xcxiao@hotmail.com) ; Yan, Jingwen(jwyan@stu.edu.cn)
英文摘要The industrial agitator tank is a widely used equipment in the chemical industry for the production of the chemical reagents. The high-performance agitator tank controller is critical to increase its productivity. In this paper, we propose an agitator tank controller based on a neural dynamics method with a shorter error-converging time in comparison with the existing methods. In addition, the controller also has a strong capability to reject perturbations. Furthermore, the superiority of the proposed agitator tank controller is theoretically analyzed. Ultimately, computer simulations synthesized by the proposed agitator tank controller are conducted. The numerical results validate the superior performance of the proposed controller.
WOS关键词CHEMICAL REAGENTS ; MIXING TIME ; NETWORK ; SYSTEMS ; SIMULATIONS
资助项目National Natural Science Foundation of China[61703189] ; International Science and Technology Cooperation Program of China[2017YFE0118900] ; Key Laboratory of Digital Signal and Image Processing of Guangdong Province[2016GDDSIPL-02] ; Doctoral Initiating Project of Guangdong Ocean University[E13428] ; Innovation and Strength Project of Guangdong Ocean University[Q15090] ; Innovation and Strength Project of Guangdong Ocean University[230419065] ; Natural Science Foundation of Gansu Province, China[18JR3RA264] ; Sichuan Science and Technology Program[19YYJC1656] ; State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20190112] ; Fundamental Research Funds for the Central Universities[lzujbky-2019-89]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000481688500206
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; International Science and Technology Cooperation Program of China ; Key Laboratory of Digital Signal and Image Processing of Guangdong Province ; Doctoral Initiating Project of Guangdong Ocean University ; Innovation and Strength Project of Guangdong Ocean University ; Natural Science Foundation of Gansu Province, China ; Sichuan Science and Technology Program ; State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities
源URL[http://ir.ia.ac.cn/handle/173211/27604]  
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Xiao, Xiuchun; Yan, Jingwen
作者单位1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China
2.Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China
3.Shantou Univ, Coll Engn, Shantou 515063, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Duan, Wenhui,Xiao, Xiuchun,Fu, Dongyang,et al. Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection[J]. IEEE ACCESS,2019,7:102941-102950.
APA Duan, Wenhui.,Xiao, Xiuchun.,Fu, Dongyang.,Yan, Jingwen.,Liu, Mei.,...&Jin, Long.(2019).Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.IEEE ACCESS,7,102941-102950.
MLA Duan, Wenhui,et al."Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection".IEEE ACCESS 7(2019):102941-102950.

入库方式： OAI收割

来源：自动化研究所

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