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Automation of control processes of resource-intensive production

Work number - M 5 AWARDED



1. MORKUN NATALIA Volodymyrivna, Doctor of Sciences (Engineering),Head of the Department of Automation, Computer Science and Technology, State Institution of Higher Education «Kryvyi Rih National University».

2. KOVAL SVITLANA Stanislavivna,PhD (Engineering), senior lecturer of the Department of Information-Management Systems, Kremenchuk Mykhailo Ostrohradskiy National University.


The research is aimed at increasing energy efficiency and quality of automated control of resource-intensive production by developing principles and approaches to distributed optimal control over interrelated objects and processes under conditions of nonstationary parameters and operating modes with multitude external and internal disturbances.

There are suggested mathematical models, criteria and methods of distributed optimal control of interrelated processes in ore concentration on the basis of the dynamic space-time model. The model has concentrated inputs and the output distributed along the whole technological line (distribution of the recovered grade according to ore size classes with the on-line control of technological indices based on ultrasonic and radiometric measurements).

The authors suggest a method of identifying nonlinear dynamic objects of ore concentration by means of the Volterra-Laguerre space-time model. The method of diffusion maps is used to decrease the model dimension. To form the control of separate parameters of iron ore concentration under instability and uncertainty of an object’s static and dynamic parameters, there has been suggested a method of applying a structured singular value to achieve the robust stability and quality. The Hankel norm is applied to reduce the regulator order.

The suggested solutions allow increasing the recovered grade in the concentrate by 0.3-0.9% improving the end product efficiency of the technological line of ore concentration by 2.7%.

The economic efficiency of introduction at ore mining enterprises implies reduction of expenditures for production of 1 t of pig iron due to the increased iron content in the concentrate, redistribution of the load between concentration stages and the decreased energy costs. The estimated economic effect of introduction at mining and metallurgical enterprises is 5.72 mln UAH per year.

DSc. (Engineering), Assoc. Prof. Morkun N. and PhD (Engineering) Koval S. presented their research results in 109 scientific papers including 2 monographs, 28 papers in editions indexed in international scientometric bases (Scopus, etc.); 43 papers in specialized collections of research papers; 27 papers in proceedings of scientific conferences. They received 2 patents for inventions and 3 certificates of authorship for a software product. According to the Scopus database, the total number of the authors’ references presented in the paper is 164, the paper h-index is 11; according to the Google Scholar database, the total number of references is 247, the paper h-index is 11.