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                <text>Development of a matrix model of a closed cement grinding scheme</text>
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                <text>This article develops a model of a closed shredding scheme in a ball mill with a separator with high efficiency at a cement plant. Various existing approaches to the development of such models are investigated and a new one is proposed. Based on the principle of material balance and stochastic representation of particle motion in the grinding system and using grinding and classification matrices, the Markov chain model is presented for a scheme consisting of a ball mill and a separator with high efficiency. The grinding matrix is calculated using the selection and crushing functions, and the classification matrix is determined by the Tromp separator curve. The results of field experiments conducted at an experienced cement plant are used to determine model parameters. Retrospective technological data related to the operation of a pilot grinding scheme,applied to check the model and determine the limiting process conditions. Using numerical simulation, the relationships between the controlled (loading of raw materials; separator cut-off size) and the observed (cement size characteristics; productivity; specific energy consumption) parameters of the circuit are determined.</text>
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                <text>Development of software for managing the grinding circuit</text>
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                <text>Alexander Nikolaevich Chokhonelidze, Brown-Aquay William of Tverskaya, Forgor Lempogo</text>
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                <text>Effectively managing the grinding process is essential for increasing the productivity of the circuit and the quality of the final product, as well as for significantly reducing production costs. The article is aimed at developing software for modeling the control of the chain cement. The software product is developed using the Visual basic language. The software takes several input simulation parameters and a choice between two control methods. The article discusses two fundamentally new controller work algorithms for cement grinding, the basis of creation, which is the control theory with predictive models (UPM). Normal controls with predictive models without restrictions and predictive models with mild restrictions are analyzed. Developed software package «CEMSIM »,combining both methods is described in this article. mathematical models of the two control methods are described. a flowchart describing the management of the methodology and structure described in the article. The analysis of the results of the application of the two models in relation to the cement grinding scheme is carried out. its choice and, thus, be able to consider alternative options before making a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzedthan make a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzedthan make a choice. The main results and conclusions are made, and two methods of comparison and their effectiveness in grinding management are analyzed</text>
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                <text>Development of an automated control system for closed-circuit grinding using a control method with predictive models</text>
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                <text>Alexander Nikolaevich Chokhonelidze, Forgor Lempogo, William Brown-Aquay</text>
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                <text>This article has developed a regularized predictive control based on the l2-norm of the impulse characteristic of the final duration (KIX) with entry restrictions and input speed for the model of a closed grinding scheme in a ball mill with a separator with high efficiency at a cement plant. The basis of the assessment module was a simple filter of constant power disorders. The problem of the regulator based on KIH was solved by the task of convex quadratic programming (KP) by converting the target function into a standard form. KP decided using an algorithm based on the internal point method. To assess an unknown violation, an assessment module was used by solving the optimization problem.The purpose of an automated control system is to simulate a cement grinding scheme by modeling the relationship between multiple input and output variables and providing an effective control mechanism. In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...In this work, control with predictive models is used, which is an improvement in the classic management with negative feedback, which takes into account the prediction of the behavior of the control object to various types of input impacts. Feedback in such control systems is used to adjust inaccuracies associated with external interference and the inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...associated with external interference and inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...associated with external interference and inaccuracy of the mathematical model of the control object. The regulator relies on an empirical model of the process to ...</text>
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