Koivo教授系列学术讲座
学 术 报 告
系列讲座：Advanced process monitoring and control methods in mineral processing
报告人：Heikki Koivo
报告时间： 2012年5月28日（周一）上午9：30-12：00
报告地点：流程工业综合自动化国家重点实验室（建筑馆207会议室）
Abstract
In mineral processing the high material volumes yield the fact that benefits of even small improvements in the process efficiency are remarkable. On a daily basis, the efficiency of a concentrating plant relies on the performance of the process control system, and secondly, on the adequate information of the process state provided for the plant operators. This talk addresses the problems in the monitoring and control of the selected, widely applied mineral concentration unit processes and the processing circuits. The case studies cover operations in the ore grinding stages, including size separation units, followed subsequently by the concentration and the thickening stages in the downstream process. The developed methods and applications are all verified with industrial data, industrially identified models or by the practical implementations and tests on the industrial case plants.
Advanced control systems - including a rule-based, a fuzzy and a model predictive control, with different combinations and setups -are studied with simulated grinding and flotation processes. A new model-based expert system for controlling of the ground ore particle size and the circulating load of the grinding process is proposed. The system was tested with a simulation model representing an industrial milling of apatite ore.
Biography
Heikki N. Koivo has been a Professor of Control Engineering at Helsinki University of Technology (HUT) and Aalto University. He received his BSEE degree from Purdue University, Indiana, the MS degree in Electrical Engineering and the Ph.D. degree in Control Sciences from University of Minnesota. Before joining HUT in 1995, he served in various professorial positions at the University of Toronto and at Tampere University of Technology, Finland. Dr. Koivo’s research interests include study of complex systems, adaptive and learning control, mechatronics, microsystems and wireless communication systems. He has authored more than three hundred scientific publications. He has been the principal investigator in more than one hundred research projects including Academy of Finland, TEKES, and EU. He has supervised over 50 PhD thesis. Dr. Koivo is a member of the Editorial Board of J. Intelligent and Fuzzy Systems, Intelligent Automation and Soft Computing, and J. Systems and Control Engineering. He was AE of IEEE TRA and member of the Administrative Council of the IEEE Robotics and Automation Society. He is a Fellow of the Finnish Academy of Technology.
