Baranoskyi V. Fuzzy control of power consumption modes by electromechanical systems for main drainage facilities of iron ore underground mines.

The thesis is devoted to solving the scientific task of to improve the energy efficiency of main drainage facilities of iron ore underground mines and to increase the level of utilization of the energy potential of this type of stationary equipment by developing theoretical aspects and practical recommendations for building a multi-criteria fuzzy control system for operating modes of electromechanical systems of pumping units. Based on the research data, the necessity of developing a two-pronged algorithm to control the functioning of the main drainage facilities is strategically determined, which includes: controlling electric power and electromechanical parameters of electromechanical systems of pumping units based on a regulated asynchronous electric drive using energy-efficient operation modes of drive motors in both individual and group variants; controlling operating modes of drainage facilities as a function of technological parameters of their operation and variable ("floating") hourly tariffs for the consumed power. The logistics of the final research are aimed at developing an appropriate control system for main drainage facilities with the prospect of involving artificial intelligence in control actions. The content of the current scientific research corresponds to filling in the necessary details for the process of creating such a control system. The thesis structure includes two volumes. Volume 1 comprises introduction, four chapters, general conclusions, and references. The Introduction formulates the relevance of the research, its aim, scientific objectives, and research results containing scientific novelty. In Section 1, based on the diagnosis of the power complex state and the rating assessment of power consumption by iron ore underground mine receivers, it is confirmed that main drainage facilities are energy-intensive power consumers, and that improving their energy efficiency is an urgent problem. It is emphasized that the canonical formulas for determining the level of energy efficiency of the analyzed types of underground mines and their individual consumers, require a new format in the context of modern energy-oriented trends. Section 2 mathematically models the modes of power supply and consumption by the main drainage facilities of iron ore underground mines as a stochastic process and determines a set of energy characteristics associated with the fact of randomness, namely the rate and the amount of water accumulated in the underground level of the underground mine, the amount of water consumption for drainage from a given underground level of the underground mine for a given time. In Section 3, taking into account constant variability of operating mode parameters of main drainage facilities, the implementation of an automated control system using the FC-AM system and considering the signals of state sensors, as well as making control decisions to switch on a certain number of pumps and their operating modes is considered. Section 4 proposes to introduce a system for expert control of power consumption by main drainage facilities based on the Mamdani fuzzy inference algorithm. A higher quality of control is demonstrated by a system based on fuzzy rules of the conjunction type compared to a fuzzy logic inference system with piecewise linear functions, with further improvement of fuzzy systems by introducing an additional restriction on the power level of pumping units operating simultaneously during the fuzzification of the corresponding linguistic variable. The Conclusions summarize the quintessence of the research results and provide certain recommendations for their practical application in developing and designing energy-efficient systems to control power consumption by energy-intensive consumers in the structure of the overall system for controlling power flows at underground iron ore mining enterprises. Volume 2 includes appendices.