SYNTHESIS OF ALGORITHMS OF OPTIMAL CONTROL OF RAW MATERIAL RECIPROCITY IN THE PROCESS OF PRODUCTION OF CARBON BLACK

Abstract

The technological process of mixing raw materials for the production of technical carbon was investigated. The expediency of developing a new control system is analyzed. Optimum management algorithms are synthesized. The volume of carbon black production in the world is steadily increasing from 2010. Due to this, the maintenance of the necessary quality and cheapness of the given product for the sake of healthy competition (and, in general, its opportunities) in the market is becoming increasingly meaningful. The optimal formulation should be the most cost-effective, that is, to provide the highest yield of technical carbon per unit of raw materials. Such a recipe-u at present is determined in the laboratory, conducting a series of experiments on components. The automated recipe management system currently does not exist. As in the production of Technical Carbon, the raw material is a mixture of many hydrocarbons and they all are by-products of the petrochemical or coke industry, which makes their composition possible to fluctuate even from one supplier, the question arises of determining the optimal formulation of raw materials at each delivery. To do this, you need to develop a mathematical model that will allow you to predict the course of the process and synthesize optimal control algorithms. In this paper, the actual scientific and practical problem of simulation of static and dynamic regimes of the mixing process of raw materials for the production of technical carbon is considered. The urgency of this development, as well as possible ways of using, namely, the synthesis of optimal control of the raw material recipe management on the basis of which it is possible to design a system of optimal management of the recipe of raw materials in the production of technical carbon, was stressed. This development will optimize the use of available resources to increase the production of carbon black and reduce the unit cost of production. This will increase the economy of production and competitiveness by increasing the speed, reducing the financial costs and will give the opportunity to direct quali fi ed human resources to solve other pressing problems. For the convenience of further practical use, it is suggested to find optimal controls for many different values of the initial states of the object, followed by approximation. This will allow the proposed algorithms to be used with fewer technical resources.