基于模糊控制器的矿井通风最优控制策略

IF 2.4 Q2 MINING & MINERAL PROCESSING
A. Kashnikov, Yu. M. Kruglov
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引用次数: 1

摘要

对矿井自动通风控制系统根据需要调节矿井送风的效率进行了研究。在OAO Belaruskali的3RU矿山对这种系统进行测试期间,暴露了其现有实施的缺点,与最难以通风方向的错误选择有关。演示了实现控制策略的可能性,其中系统自动确定风扇和调节器的操作模式的最佳配置。作为已实现算法的替代方案,建议使用模糊控制装置来考虑通风设备输入和输出参数依赖关系的非线性,并以声明的形式设置系统最佳运行模式的条件。为了评估所提出方法的有效性,对当前通风方式的仿真建模数据和从一种通风方式过渡到另一种通风方式的数据进行了分析,并与系统运行的实际数据进行了对比。仿真结果表明,在自动通风控制系统的实现中,采用基于模糊逻辑的主通风机升级控制方案,可以消除主通风机在被调节的运动方向上新风不足的可能性,以及主通风机功耗过大的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategy of mine ventilation control in optimal mode using fuzzy logic controllers
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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来源期刊
Journal of Mining Institute
Journal of Mining Institute MINING & MINERAL PROCESSING-
CiteScore
7.50
自引率
25.00%
发文量
62
审稿时长
8 weeks
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