重介质分选过程中悬浮液密度和黏度控制算法研究  

Study on Suspension Density and Viscosity Control Algorithm in Dense Medium Separation Process

作　　者：倪云峰[1] 魏富太 郭苹 NI Yunfeng;WEI Futai;GUO Ping(College of Communication and Information Engineering,Xi′an University of Science and Technology,Xi′an 710054,China)

机构地区：[1]西安科技大学通信与信息工程学院,西安710054

出　　处：《煤炭技术》2024年第8期296-299,共4页Coal Technology

基　　金：国家自然科学基金资助项目(61701393)。

摘　　要：为了解决传统的重介质分选过程忽略悬浮液黏度的建模与控制问题,首先分析了重介质分选工艺流程,以控制磁性物含量的方式控制黏度。然后建立了以补水阀和分流阀为控制量,悬浮液密度和磁性物含量为被控量的双输入、双输出控制模型。最后设计出基于模型预测控制(MPC)的悬浮液密度和黏度控制器。仿真结果表明:与传统的PID和前馈解耦控制器相比,MPC算法的超调量更小、抗干扰能力和鲁棒性更强。In order to solve the problem of modelling and controlling the suspension viscosity neglected by the traditional dense medium separation process,the dense medium separation process was first analyzed to control the viscosity by controlling the magnetic content.Then a dual-input,dual-output control model was established with the make-up valve and diverter valve as the control quantities,and the suspension density and magnetic content as the controlled quantities.Finally,a suspension density and viscosity controller based on model predictive control(MPC)is designed.Simulation results show that the MPC algorithm has smaller overshoot,better interference immunity and robustness than traditional PID and feed-forward decoupling controllers.

关 键 词：重介质分选 重介质悬浮液 模型预测控制 仿真分析 

分 类 号：TD94[矿业工程—选矿]