Model-based control development for semi-autogenous grinding mills

大多数工业半自磨（SAG）磨机采用启发式控制方法，如专家系统来实现稳定的运行和提高性能。基于模型的控制技术由于过程的复杂性和缺乏精确的模型，在工业SAG轧机中尚未得到成功的应用。由于需要在基于经验的启发式控制方法之外提高SAG轧机的性能，本项目建议为工业SAG轧机开发高保真度模型，并研究工业重要变量对其运行的影响。基于第一原理的基本建模和使用工业操作数据的统计技术将用于模型开发。将开发基于模型的控制，并通过仿真研究其性能。这个项目的结果将产生重要的信息，为新的控制实施和现有的控制改进，以最低的成本为工业SAG厂。

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.