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
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2019
卷号	7 页码:102941-102950
通讯作者	Xiao, Xiuchun(xcxiao@hotmail.com) ; Yan, Jingwen(jwyan@stu.edu.cn)
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.
关键词	Chemical industry automatic control control design neural dynamics method rapid convergence perturbations rejection
DOI	10.1109/ACCESS.2019.2930323
关键词[WOS]	CHEMICAL REAGENTS ; MIXING TIME ; NETWORK ; SYSTEMS ; SIMULATIONS
收录类别	SCI
语种	英语
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] ; 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]
项目资助者	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
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000481688500206
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：5[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/173211/27605
专题	复杂系统认知与决策实验室_先进机器人
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
第一作者单位	中国科学院自动化研究所
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.