基于PBM+MPC的球磨机动态优化控制  

Ball-mill dynamic optimization control based on PBM+MPC

作　　者：马天雨[1] 桂卫华[1] 阳春华[1] 王雅琳[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《中南大学学报（自然科学版）》2012年第2期528-533,共6页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金重点资助项目(60634020);国家自然科学基金资助项目(60874069;60804037)

摘　　要：提出一种基于分批试验结论和考虑工况的球磨机连续磨矿粒级质量平衡模型(PBM)改进模型。基于某些粒级不符合一级磨矿动力学的分批试验结果改进破碎率模型;为消除干扰影响,建立破碎率模型参数和各工况变量间的LSSVM关系模型;基于改进模型,采用PBM+MPC实现球磨机优化控制。仿真结果表明,PBM+MPC能有效消除过程干扰,稳定过程产品质量。An improved ball mill PBM model considering the conditions for continuous operation was proposed based on the batch-grinding results.The breakage-rate model was improved according to the batch-grinding results that some certain size does not meet first-order grinding kinetic.To eliminate the influence of disturbances,a LSSVM relationship model between the parameters of breakage rate model and the manipulated variables was built.To realize the optimization control of ball mill,a PBM＋MPC scheme was proposed based on the new model.Simulation results show that PBM＋MPC can eliminate the disturbances and stabilize the product quality of the process efficiently.

关 键 词：LSSVM PBM 球磨机 预测控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]