Expert system based adaptive dynamic matrix control for ball mill grinding circuit
Expert system based adaptive dynamic matrix control for ball mill grinding circuit
复制标题
DOI：
10.1016/j.eswa.2007.10.008
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Xisong Chen;Shihua Li;J. Zhai;Qi Li
中科院分区：
文献类型：
--
作者：
Xisong Chen;Shihua Li;J. Zhai;Qi Li
球磨机粉磨回路是一个多输入多输出（MIMO）系统，具有耦合性和非线性。磨矿系统的稳定控制常受到矿石硬度、给矿粒度等大扰动的干扰，传统的模型预测控制往往不能捕捉到真实的实践中由扰动引起的非线性。提出了一种基于多模型的自适应动态矩阵控制（ADMC）方法，用于球磨机磨矿回路的控制。该策略的新奇在于，开发了智能专家系统来识别当前的矿石硬度，然后选择一个合适的模型ADMC。与各种非线性DMC策略相比，该方法可以综合和分析尽可能多的变量和状态，以充分和可靠地识别过程条件，并且它不引入额外的计算复杂性，这使得它很容易提供给工业从业者。仿真结果和工业应用验证了该控制策略的有效性和实用性。
Ball mill grinding circuit is a multiple-input multiple-output (MIMO) system characterized with couplings and nonlinearities. Stable control of grinding circuit is usually interrupted by great disturbances, such as ore hardness and feed particle size, etc. Conventional model predictive control usually cannot capture the nonlinearities caused by the disturbances in real practice. Multiple models based adaptive dynamic matrix control (ADMC) is proposed for the control of ball mill grinding circuit. The novelty of the strategy lies in that intelligent expert system is developed to identify the current ore hardness and then select a proper model for ADMC. Compared with the various nonlinear DMC strategies, the approach can synthesize and analyze as many variables and status as possible to adequately and reliably identify the process conditions, and it does not introduce additional computational complexity, which makes it readily available to the industrial practitioner. Simulation results and industrial applications demonstrate the effectiveness and practicality of this control strategy.