Study on the Plant-Wide Modeling of Gold Hydrometallurgical Process
In order to predict the production indices of gold hydrometallurgical process,such as the gold production,the leaching rate,the precipitation rate and the grade of gold mud,it is very necessary to establish an accurate plant-wide model of the gold hydrometallurgical process.A plant-wide mechanism model is proposed for description and analysis of the gold hydrometallurgical process in this paper,and the mean-square convergent particle swarm optimization(PSO)algorithm is applied for indentifing the main parameters of model.Simulation results indicate that the proposed model has a better prediction performance in gold hydrometallurgical process,and it lays an important model foundation for the plant-wide optimization and control of gold hydrometallurgical process.
Hydrometallurgical Process Plant-Wide Modeling PSO Identification
Qingyun Yuan Fuli Wang Dakuo He Runda Jia Cong Wang
School of Information Science & Engineering,Northestern University,Shenyang 110004 School of Information Science & Engineering,Northestern University,Shenyang 110004;Stat Key Laborato China Petroleum Liaohe Equipment Company
国际会议
长沙
英文
4013-4018
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）