Model-based control development for semi-autogenous grinding mills

大多数工业半自磨（SAG）米尔斯使用启发式控制方法，如专家系统，以实现稳定的操作和提高性能。由于半自动米尔斯轧机过程的复杂性和精确模型的缺乏，基于模型的控制技术在工业半自动轧机中还没有得到成功的应用。由于需要提高SAG米尔斯的性能，超越了基于经验的启发式控制方法，本项目建议开发高保真模型的工业SAG米尔斯和调查的影响，工业上重要的变量对其操作。在模型开发中将使用基于基本原理的基本建模和使用工业运行数据的统计技术。将开发基于模型的控制，并将使用模拟研究其性能。该项目的结果将产生重要的信息，新的控制实施以及现有的控制改进，以最小的成本为工业半自动米尔斯。

Most industrial semi-autogenous grinding (SAG) mills use heuristic control approaches such as expert systems to achieve stable operations and improved performance. Model-based control techniques have not received successful applications in industrial SAG mills due to complexity of the processes and lack of accurate models. Owing to the need to improve the performance of SAG mills beyond that of the experience-based heuristic control approach, this project proposes to develop high fidelity models for industrial SAG mills and investigate the effect of industrially important variables on their operation. Both fundamental modelling based on first principles and statistical techniques using industrial operating data will be used in model development. Model-based control will be developed and its performance will be investigated using simulations. Results of this project will generate important information for new control implementation as well as existing control improvement with minimal costs for industrial SAG mills.