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Aleksei V. Kashnikov
Aleksei V. Kashnikov
Junior Researcher
Mining Institute of the Ural Branch of the RAS
Junior Researcher
Mining Institute of the Ural Branch of the RAS
Perm
Russia

Co-authors

Articles

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2022-01-21
  • Date accepted
    2022-11-14
  • Date published
    2023-08-28

Strategy of mine ventilation control in optimal mode using fuzzy logic controllers

Article preview

The issues related to improving the efficiency of automatic ventilation control systems of mines that regulate the air supply to the mine in accordance with the need are considered. During the tests of such a system in the 3RU mine of OAO Belaruskali, the shortcomings of its existing, implementation, associated with the incorrect choice of the most difficult-to-ventilate direction, were revealed. The possibilities of implementing a control strategy, in which the system automatically determines the optimal configuration of the operating modes of fans and regulators, are demonstrated. As an alternative to the implemented algorithms, it is proposed to use a fuzzy control device to account for the nonlinearity of the dependence of the input and output parameters of ventilation equipment and to set the conditions for the optimal operating mode of the system in a declarative form. To assess the effectiveness of the proposed approach, the data of simulation modeling of the current ventilation mode and the transition from one ventilation mode to another are analyzed with comparison with the actual data of the system operation. The simulation results show that the use of an upgraded control scheme for the main ventilation fan based on fuzzy logic in the implementation of automatic ventilation control systems makes it possible to eliminate the possibility of a shortage of fresh air in the regulated directions of its movement, as well as excessive power consumption of the main ventilation fan.

How to cite: Kashnikov A.V., Kruglov Y.V. Strategy of mine ventilation control in optimal mode using fuzzy logic controllers // Journal of Mining Institute. 2023. Vol. 262. p. 594-605. DOI: 10.31897/PMI.2022.75