Model-based control development for semi-autogenous grinding mills

半自磨机基于模型的控制开发

• 批准号: 340729-2006
• 负责人: Shang, Helen(Huilan)
• 金额: $ 1.79万
• 依托单位: Laurentian University of Sudbury
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=325426
• 关键词: Model; based; control; development; semi

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.

大多数工业半自动磨削（SAG）磨坊使用启发式控制方法，例如专家系统来实现稳定的操作并提高性能。由于流程的复杂性和缺乏准确的模型，基于模型的控制技术尚未在工业SAG工厂中获得成功的应用。由于有必要超越基于经验的启发式控制方法的SAG磨坊的性能，因此该项目提议开发用于工业SAG工厂的高保真度模型，并研究工业重要变量对其运营的影响。两种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都将用于模型开发。将开发基于模型的控制，并将使用模拟研究其性能。该项目的结果将为新的控制实施以及现有的控制改进而产生重要信息，而工业SAG工厂的成本最低。