DEVELOPMENT OF THE HYBRID CONTROL SYSTEM FOR A THREE-STAGE IRON ORE ENRICHMENT BASED ON MULTI-AGENT CONTROL AND REGRESSION ANALYSIS
Journal Title: Computer Science Information Technology Automation - Year 2017, Vol 1, Issue 6
Abstract
Development issue on the automated control system for the enrichment of iron ore in a view of complexity of the relations between mechanisms is considered. The object of the research is a model of the automated control in the enrichment process at the enrichment enterprise section. Aim. Development of the multi-agent control system for the enrichment enterprise through the advanced control means and measurement of the performance functions of the equipment and the product processed. Methods. The processes of the iron ore enrichment in terms of the automated control are considered. It is established that changes in characteristics of iron ore on a feeder significantly impact both the technological processes of a concentrating mill and the characteristics of the outputs. Complexity of measurements, non-stationarity and inertia of processes requires the use of combinations of advanced intelligent automated control. The tasks regarding characteristic measurement of the processed product and the parameters of technological mechanisms are of great importance. The effectiveness of the multi-agent control in combination with the intelligent control means in comparison with the methods used today is proved. The expediency of the intelligent control means including the means of a regression analysis for the control of technological equipment is proved. Scientific novelty. The method for controlling a three-stage enrichment based on relations between agents, as well as methods for experiment planning and regression analysis are proposed. Practical significance. A block diagram of the control system for three-stage grinding and enrichment of the iron ore is developed. The control system for the second enrichment through a hydrocyclone on the base of the above-mentioned methods is developed. An analytical model for controlling the iron ore enrichment section in general is developed. The performed analysis suggests the use of the multi-agent control to significantly improve the control accuracy, as well as make it more adapted to the real conditions and requirements for the quality of a concentrate. Improvement of the method for modeling the technological process of enrichment through a regression analysis will significantly upgrade the accuracy of control in terms of non-stationary processes of a concentrating mill. Further research is to develop the control systems for each mechanism, to make more precise the rules in databases of fuzzy networks and to study the possibilities of relations between agents.
Authors and Affiliations
O. I. Savytsky, M. A. Tymoshenko
Keywords
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