Обґрунтування програмного забезпечення структурно-параметричної ідентифікації для АСУ процесом крупного дроблення руд

Abstract

Explanatory slip: 123 р., 19 fig., 2 tables, 4 application, 69 sources. Object of research: automation of large ore crushing processes management. The purpose of the degree project: substantiation the use of structuralparametric method to identify large ore crushing processes, provides an increase in the accuracy of their models. Methods of research. At solution of tasks in view the analysis and scientific generalization of references on initial sending of researches is made, to identify large ore crushing processes. Composite method of complex control objects structural-parametric identification was used. The scientific novelty of the results consists in the method of the composite structural and parametric identification complicated control facilities to determine the structure and parameters of processes coarse crushing ores. Also in increasing the accuracy of determining the structure, estimating and optimizing the parameters of the model of complex control objects. The practical value of works consists in developing the software to implement the structural-parametric identification of large ore crushing processes. Field of application. The developed method can be used in organizations that operate complex objects for controlling ore preparation processes (crushing and grinding). The economic benefit of operation outcomes implantation is expected at the expense of increasing the efficiency of large ore crushing processes identification, which helps reduce operating costs in the operation of complex control objects. Value of work and summary. The developed technique allows to increase the efficiency of large ore crushing processes identification through the use of structural-parametric identification methods. The prognoses on development of researches. Research of large ore crushing processes on structural-parametric identification methods allow for the definition of a rational operating conditions, as well as opportunities to optimize the complex control objects parameters.