Dynamic Simulation And Predictive Control For The Overall Process Of Hydrometallurgy

Mineral resources are the basis of economic and social development, and play an important role in the economic and social development. Sustainable economic development is inseparable from the rapid supply of mineral resources. Our country is rich in mineral resources, variety, but our country is in the process of rapid economic development, and has large populations. The demand for mineral resources is very large. Therefore, improving the efficiency of the utilization of mineral resources to ensure sustainable development of the country is significant.Hydrometallurgical can efficiently deal with complex ore and low grade ore. It is easier to achieve automation and continuous in the production process. Therefore, hydrometallurgy is widely used, and new technology is constantly emerging. However, optimal control of hydrometallurgical technology has developed slowly in our country. Mineral resource utilization is low. This thesis aims to solve such a problem on the background of one gold smelting factory. The dynamic mechanism model of the hydrometallurgical process is established, and predictive control on steady-state optimization is realized. Finally the design and implementation of the whole control system simulation platform based on hydrometallurgical processes dynamic simulation and control are completed. The main work of this thesis is summarized as follows:(1) Analyze the typical hydrometallurgical processes:leaching, pressure filtration and replacement process. The dynamic model of leaching and replacement process is established, And the mechanism of the model is analyzed.(2) Aim to solve the problem of the hydrometallurgical process with the material loop circulation, sequential modular approach is used to effectively divide the hydrometallurgical process. The dynamic mechanism model of the overall process of hydrometallurgical is established.(3) The overall process optimization model based on maximum economic efficiency objective function is established. The steady-state optimization goals can be achieved. And the method of dynamic matrix predictive control is used to track the steady-state optimization objectives, and get the optimal operating variables.(4) Based on the theoretical study of the dynamic mechanism model and predictive control for the overall process of hydrometallurgy, the simulation platform for overall process of hydrometallurgical simulation and control is designed and developed to guide field operations.Finally, future directions for researches on modeling and optimization of overall hydrometallurgy process, which need to be further improved and intensively studied are discussed after summarizing the whole work in this thesis.