E3S Web Conf.
Volume 267, 20217th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
|Number of page(s)||7|
|Section||Environmental Chemistry Research and Chemical Preparation Process|
|Published online||04 June 2021|
Kinetics of Impurity Removal in Zinc Hydrometallurgy Based on Parameter Estimation
1 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
1 Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou 730050, China
1 National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou 730050, China
2 College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
* Corresponding author: firstname.lastname@example.org
Impurity removal is a momentous part of zinc hydrometallurgy process. In this paper, a hybrid modeling method of mechanism modeling and parameter estimation 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 estimation optimization model. The gradient vector and Hessian matrix of the objective function with respect to the parameter vector were derived, and the algorithm based on the steepest descent and Newton method was given. Finally, using the production data of a lead-zinc smeltery in China, the model parameters were inversed. An intensive simulation validation and analysis of the dynamic characteristics 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 zinc powder addition.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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