Authors: Yu.L. Zhukovskiy, Ya.M. Malkova

Title of the article: Classification of ways to improve the efficiency of the comminution and implementation of energy-efficient algorithms for controlling the twin-motor electric mill drive

Year: 2022, Issue: 4, Pages: 20-35

Branch of knowledge: 09.05.03 Electrotechnical complexes and systems

Index UDK: 621.313.333.2

DOI: 10.26730/1816-4528-2022-4-20-35

Abstract: The comminution is the most energy-intensive at mining and processing plants. According to the distribution of energy costs, the grinding process accounts for more than 50% of the total costs of the plant. The use of drum mills is widespread in the production process. The principle of comminution in drum mills does not allow reducing the energy costs of this process significantly. The article presents a classification of ways to improve the efficiency of the grinding process, based on the world practices and researches of the leading countries in ore processing. The classification includes algorithmic ways to increase the efficiency of comminution process by means of using an automated electric mill drive. Particular attention is paid to the introduction of advanced control systems based on digital modeling as one of the tools to improve the efficiency of the grinding process. Researches in Matlab Simulink were carried out, and their results obtained the effect of modification of motor control system. The developed algorithms in the field-oriented control system of electric drive provide the uniform distribution of loads in two-motor electric drive and reduction of current consumption. Application of improved algorithms of electric drive control is one of the examples of energy efficiency increase. Further contribution to the rational use of energy resources requires the introduction of comprehensive measures according to the classification of ways to improve.

Key words: energy efficiency comminution drum mills automated electric drive control systems sustainable development

Receiving date: 02.06.2022

Approval date: 15.07.2022

Publication date: 08.09.2022

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