Modeling And Optimization Control Research For Alkali Leaching Process Of Wolfram

Wolfram is one of the important strategic resources,our country is rich in Wolfram resources.In recent years, with the increase of Wolfram consumption and the Wolfram resources are drying up. Right now, the alkali leaching process mostly artificial or conventional PID control way. it is urgent to achieve the purpose of optimizing production and reducing resources by using advanced optimization and control technology, this will have practical significance.Alkali leaching process is important in tungsten metallurgy. The purpose of this process is to extract Wolfram from Wolfram concentrates. It is the basis of the post-order process and mainly done in reaction kettle. The modern control technology is difficult to use in this process, because it is so complicated and can’t establish accurate mathematical model. To realize the optimal control of this process, the main works was as follows:First, established mechanism model for describing the alkali leaching process by using the leaching kinetics principle in a detailed analysis of alkali leaching process of wolfram. on the other hand, deviation compensation model is established for the forecast of the mechanism model by using support vector machine(SVM) regression model, the two models in parallel composition of alkali leaching process parameters to predict the leaching rate intelligent integration model.Second, on the basis of intelligent integration model, the particle swarm optimization algorithm was used to research the production process operation parameters, which took economic efficiency as the goal, took mineral particle radius, sodium hydroxide concentration, reaction temperature, leaching time as variables to optimize parameters. On the basis of the study, took alkali leaching reaction kettle in the actual production as the object, the lag and slow time-varying characteristics of the process were mainly considered. The inner temperature of alkali leaching kettle intelligent control technology and system were studied which applied the generalized predictive adaptive control algorithm.Finally, The design of a temperature parameter optimization control for the industrial scene is designed. Established three layers structure of alkali leaching process of generalized predictive adaptive control system by using embedded and CAN bus technology, design the unit controller hardware and software in detail.