Fan and Regulators Fuzzy Control in Mine Ventilation Systems

Kashnikov, A. V.; Levin, L. Yu.

doi:10.1109/scm.2019.8903698

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Further development of the AVC concept is described in several works (Kazakov & Shalimov, 2012;Kruglov & Semin, 2013;Levin & Semin, 2017;Kashnikov & Levin, 2019). Special attention should be paid to the work by Kruglov and Semin in which an algorithm for optimal ventilation control was proposed for the controllers of fans and ventilation doors.…”

Section: Executionmentioning

confidence: 99%

Archives of Mining Sciences

Semin,

Levin,

Maltsev

2020

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In recent decades, two different approaches to mine ventilation control have been developed: ventilation on demand (VOD) and automatic ventilation control (AVC) systems. The latter was primarily developed in Russia and the CIS countries. This paper presents a comparative analysis of these two approaches; it was concluded that the approaches have much in common. The only significant difference between them is the optimal control algorithm used in automatic ventilation control systems. The paper describes in greater detail the algorithm for optimal control of ventilation devices that was developed at the scientific school of the Perm Mining Institute with the direct participation of the authors. One feature of the algorithm is that the search for optimal airflow distribution in the mine is performed by the system in a fully automated mode. The algorithm does not require information about the actual topology of the mine and target airflows for the fans. It can be easily programmed into microcontrollers of main fans and ventilation doors. Based on this algorithm, an automated ventilation control system was developed, which minimizes energy consumption through three strategies: automated search for optimal air distribution, dynamic air distribution control depending on the type of shift, and controlled air recirculation systems. Two examples of the implementation of an automated ventilation control system in potash mines in Belarus are presented. A significant reduction in the energy consumption for main fans' operation obtained for both potash mines.

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Section: Executionmentioning

confidence: 99%

Archives of Mining Sciences

Semin,

Levin,

Maltsev

2020

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“…Let us consider the bases of fuzzy inference rules for determining the required increment of the fan impeller speed (Table 1) [35]. The row and column headers correspond to the sets of input variables (Q and max), included in the antecedents of the rules, the values at the intersection of rows and columns correspond to the sets of the output variable from the sequence of rules.…”

Section: Introductionmentioning

confidence: 99%

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

Kashnikov

Kruglov

2023

PMI

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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.

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Estimating Energy Consumption of Mine Fans in Underground Mines in Case of Uncertainty of Fan Influence Zones

Kashnikov

Kruglov

2022

J Min Sci

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Fan and Regulators Fuzzy Control in Mine Ventilation Systems

Cited by 3 publications

References 1 publication

Archives of Mining Sciences

Archives of Mining Sciences

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

Estimating Energy Consumption of Mine Fans in Underground Mines in Case of Uncertainty of Fan Influence Zones

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