A Model-Based Expert System for Determining Optimal Control Inputs in Purification Process Control

摘要

One important step in zinc hydrometallurgy is the purification process, which involves removing impurities such as copper, cadmium and cobalt from a zinc sulfate solution to obtain a satisfactory electrolyte. The key point in the control of the purification process is the determination of the optimal amounts of zinc dust, ethylxanthic acid sodium salt and copper sulfate that are added to the reaction tanks. This paper describes a methodology for determining the optimal amounts by using a model-based expert system technique.