Automation of the control process of the mining machines based on fuzzy logic

Abstract

Purpose. To improve the efficiency of mining equipment functioning through the introduction of fuzzy inference algorithms into the control of mining facilities being complex objects with dynamic, randomly varied operation modes. methodology. A stage to determine nonfuzzy input variable systems as statistic indices has been added to univer sally accepted algorithm of a fuzzy interference. The indices make it possible to identify operation mode of mining equipment or operation mode transitions. Each input nonfuzzy variable of the system is a result of statistic processing of information signals from the sensors to find unique regularities within the signal; the regularities should correspond to one or several operation modes of the machine, or transitions between them. Additional linguistic input variables of "Previously, their operation mode was…" are introduced to trace temporally varied operation modes of the mining machine. Taking into consideration features of input nonfuzzy variables formation, the system performs fuzzy infer ence discretely in time; in this context, fuzzy inference interference algorithm is added by the conditions for data ac cumulation, variations, and zero variations in the machine operation mode. Findings. A technique to integrate a behavioural model of a mining machine, considered as a control object, into a fuzzy inference algorithm has been proposed. Moreover, recommendations, concerning determination of both non fuzzy and linguistic input variables of the system, formation of a basis of fuzzy products, and determination of condi tions for data accumulation have been formulated. Originality. Originality of the proposed technique is to use a behavioural model of a mining machine, considered as a control object, for the fuzzy inference algorithm in the form of a set of operation modes of a machine and in the form of a scheme of timedependent changes in operation modes. Practical value. The proposed technique is theoretical basis to solve topical scientific and application problem as well as to use nonfuzzy algorithms to control mining machines to improve their efficiency.

Sustainable development of mining processes based on mechanochemical leaching of ore

“…This approach complicates sustainable use of natural resources and cannot be changed at present. Methods of control intended to improve resource use and decrease man-made wastes can solve the mentioned problems [14][15][16][17].…”

“…Therefore, deeper levels of existing mines and former reserve deposits with complicated mining and geological conditions are going to be developed in the nearest future. It is associated with reduced metal content in mined ores, increased volume of waste materials and augmented load on the environment [12,[16][17].…”

Automation of the control process by the shearer drum in terms of coal seam hypsometry

“…On the one hand, difficulties with the sharer control are stipulated by the dynamic and unexpected time changes in the sharers' operating modes; on the other hand, the difficulties are caused by the impossibility to identify unambiguously those modes basing on the analysis of sensor signals within a short period of time. Taking that into consideration, to solve the problem of control automation of a shearer, it is necessary to implement expert systems that involve fuzzy logic to recognize different situations according to the approach proposed in paper [10].…”

“…Results. Fuzzy automated control of a shearer drum in terms of coal seam hypsometry is to be developed basing on the method proposed in [10]. According to the method, basic operating modes of the controlled object and their character istics are to be discussed first with the specification of indica tive events and information criteria making it possible for the control system to identify the characteristics of operating modes of the controlled object.…”

“…However, with the viewpoint on the fact that the information criterion helps identify only changes in a material type being broken by the drum at its different heights, the input linguistic variable of a fuzzy automatic con trol system "Changes in material type being broken by the drum near the seam roof" and the output one "Changes in the drum's lifting height" are proposed. In this regard, a scheme of fuzzy inference algorithm for the drum's fuzzy control system and its flow diagram coincide with the similar schematic in pa per [10] as the identical approach is used to develop the system.…”