某矿山无模型自适应磨矿过程控制系统的开发与应用

Development and Application of Model-free Adaptive Grinding Process Control System in a Mine

磨矿过程作为矿冶过程中的高耗能环节,良好的控制效果能显著降低该过程的生产成本,提升企业的利润。但磨矿过程是一个强耦合、非线性多输入多输出过程,不仅干扰因素多,易受外部干扰,且无法建立准确的数学模型,生产过程往往采用人工调整。为了解决人工调整的及时性和准确性问题,以某半自磨-球磨矿山为例,开展了无模型自适应控制(MFAC)研究与应用。系统利用现场的输入、输出数据,和系统本身良好的鲁棒性,并结合现场实际,设计了一个多输入多输出无模型自适应控制系统,通过调节半自磨机的给水量和给矿量来控制磨矿浓度和磨机功率,实现良好的控制效果。现场数据仿真和现场应用都展现了良好的效果。

As a high-energy-consuming process in mining and metallurgy,grinding process with good control effect can greatly reduce the production cost of the process and enhance the profits of enterprises.However,the grinding process is a strong coupling,nonlinear,multi-input and multi-output process,which is not only affected by many factors,but also susceptible to external interference.Meanwhile,it is unable to establish accurate mathematical model,and the production process often adopts manual adjustment.In order to solve the problem of timeliness and accuracy of manual adjustment,the model-free adaptive control(MFAC)was studied and applied in a semi-autogenous milling and ball milling mine.Based on the input and output data and the good robustness of the system,a model-free adaptive control system with multi-input and multi-output is designed combining on-site actual.The grinding concentration and mill power were controled by adjusting the feed water and feed ore of the semi-autogenous mill,achieving good control effect.Field data simulation and field application show good results.