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

doi:10.1109/ACCESS.2019.2930323

	Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection
	Duan, Wenhui 1,4; Xiao, Xiuchun 2; Fu, Dongyang 2; Yan, Jingwen 3; Liu, Mei 1; Zhang, Jiliang 1; Jin, Long 1,4
刊名	IEEE ACCESS
	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
DOI	10.1109/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.
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关键词	CHEMICAL REAGENTS ; MIXING TIME ; NETWORK ; SYSTEMS ; SIMULATIONS
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000481688500206
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
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27604]
专题	中国科学院自动化研究所
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.