Knowledge Commons of Institute of Automation,CAS
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection | |
Duan, Wenhui1,4; Xiao, Xiuchun2; Fu, Dongyang2; Yan, Jingwen3; Liu, Mei1; Zhang, Jiliang1; Jin, Long1,4 | |
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 | |
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. |
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