PARAMETER OPTIMAL IDENTIFICATION AND DYNAMIC BEHAVIOR ANALYSIS OF NONLINEAR MODEL FOR THE SOLUTION PURIFICATION PROCESS OF ZINC HYDROMETALLURGY

doi:10.3934/jimo.2021159

	PARAMETER OPTIMAL IDENTIFICATION AND DYNAMIC BEHAVIOR ANALYSIS OF NONLINEAR MODEL FOR THE SOLUTION PURIFICATION PROCESS OF ZINC HYDROMETALLURGY
	Wang, Qianqian 1; Tang, Minan 3; An, Aimin 1,2; Lu, Jiawei 1; Zhao, Yingying 1
刊名	JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
	2022
卷号	18 期号:1 页码:693-712
关键词	Zinc hydrometallurgy purification hybrid modeling parameter opti-mal identification dynamic characteristics
ISSN号	1547-5816
DOI	10.3934/jimo.2021159
英文摘要	Impurity removal is a momentous part of zinc hydrometallurgy process, and the quality of products and the stability of the whole process are affected directly by its control effect. The application of dynamic model is of great significance to the prediction of key indexes and the optimization of process control. In this paper, considering the complex coupling relationship of stage II purification process, a hybrid modeling method of mechanism modeling and parameter identification modeling was proposed on the basis of not changing the actual production process of lead-zinc smeltery. Firstly, the overall nonlinear dynamic mechanism model was established, and then the deviation between the theoretical value and the actual detected outlet ion concentration was taken as the objective function to establish the parameter identification optimization model. Since the built model is nonlinear, it may pose implementation problems. On the premise of deriving the gradient vector and Hessian matrix of the objective function with respect to the parameter vector, an optimization algorithm based on the steepest descent method and Newton method is proposed. Finally, using the historical production data of a lead-zinc smeltery in China, the model parameters were accurately inversed. An intensive simulation validation and analysis of the dynamic characteristics about the whole model shows the accuracy and the potential of the model, also in the perspective of practical implementation, which provides the basis for the optimal control of system output and the guidance for the optimal control of zinc powder addition.
WOS研究方向	Engineering ; Operations Research & Management Science ; Mathematics
语种	英语
出版者	AMER INST MATHEMATICAL SCIENCES-AIMS
WOS记录号	WOS:000744178000035
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/154898]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, Lanzhou 730050, Peoples R China 3.Lanzhou Jiaotong Univ, Coll Automat & Elect Engn, Lanzhou 730070, Peoples R China;
推荐引用方式 GB/T 7714	Wang, Qianqian,Tang, Minan,An, Aimin,et al. PARAMETER OPTIMAL IDENTIFICATION AND DYNAMIC BEHAVIOR ANALYSIS OF NONLINEAR MODEL FOR THE SOLUTION PURIFICATION PROCESS OF ZINC HYDROMETALLURGY[J]. JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,2022,18(1):693-712.
APA	Wang, Qianqian,Tang, Minan,An, Aimin,Lu, Jiawei,&Zhao, Yingying.(2022).PARAMETER OPTIMAL IDENTIFICATION AND DYNAMIC BEHAVIOR ANALYSIS OF NONLINEAR MODEL FOR THE SOLUTION PURIFICATION PROCESS OF ZINC HYDROMETALLURGY.JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION,18(1),693-712.
MLA	Wang, Qianqian,et al."PARAMETER OPTIMAL IDENTIFICATION AND DYNAMIC BEHAVIOR ANALYSIS OF NONLINEAR MODEL FOR THE SOLUTION PURIFICATION PROCESS OF ZINC HYDROMETALLURGY".JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION 18.1(2022):693-712.