Prykhodchenko S. Multicriteria identification of the hydrotransport’s state and management of the concentrating mill on the basis of a neural-like structure

The dissertation is devoted to development of the intellectual identification system and concentrating mill’s hydrotransport control decisions support. The problem of determining the dependence of the infralow frequencies amplitude of the slurry pump motor’s instantaneous power consumption spectrum on the pulp density and the level of the ensemble of average frequencies of the slurry pump motor’s power spectrum from the position of the damper is solved that allows to increase the accuracy of control and authenticity of identification during operation of the technological equipment in the transmission and emergency modes. The mathematical models of the hydrotransportation system are proposed, the first one is based on the method of the chain fractions’ operator form and the second one is on the simulation of the Jeffcott-Laval method that allows the introduction of correction coefficients for a more accurate and adequate description of the controlled hydrotransport network. The mathematical modeling of normal and emergency modes of operation in the hydrotransport system of the concentrating mill was carried out and confirmed by the results of experimental research in the conditions of «Poltava mining and concentrating combine». The method of automatic multicriteria control of the hydrotransport’ system state on the neural-like structure’s basis that is based on the analysis of the instantaneous engine power’s spectral characteristics of a slurry pump is developed. The developed system, in comparison with any of the methods used in it, gives an increment of accuracy from 15% to 0,7% on the data without considering the tearing of the design elements. For data modeled considering the tearing and aging of parts compared with data that does not consider the deterioration of system elements, accuracy increases by an average of 3%. Recommendations that include the methods suggested in the given research are implemented at concentrating mill «Tandem Torg TPK».