Automation of the control process of the mining ma-chines based on fuzzy logic

Bublikov, A. V.; Tkachov, V.V.

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. A stage to determine nonfuzzy input variable systems as statistic indices has been added to universally 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 inference discretely in time; in this context, fuzzy inference interference algorithm is added by the conditions for data accumulation, variations, and zero variations in the machine operation mode. 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 nonfuzzy and linguistic input variables of the system, formation of a basis of fuzzy products, and determination of conditions for data accumulation have been formulated. 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 time-dependent changes in operation modes. 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.Purpose. To develop a method for synthesizing a fuzzy automatic control system for a shearer drum in terms of coal seam hypsometry basing on the information criterion of the beginning of rock cutting-off by the drum to reduce ash content of the extracted coal. Methodology. Taking into consideration peculiarities of determining a distinct information criterion of the beginning of rock cutting-off by the drum and regularities of its variations during the shearer operation, a fuzzy inference algorithm is developed for a system of fuzzy automatic drum control in terms of seam hypsometry. In this context, rules of fuzzy productions, parameters of the membership functions of terms of the output linguistic variable system, and fuzzy operations are substantiated according to the recommendations of a classic Mamdani fuzzy inference algorithm. Studies are carried out to analyze the efficiency of the proposed fuzzy inference algorithm basing on the introduced relative parameter of the number of effective control actions formed by the fuzzy control system. Simulation modeling makes it possible to perform comparative analysis of the efficiency of the drum control. Findings. In the course of research, an algorithm of fuzzy control of the shearer's upper drum in terms of coal seam hypsometry has been developed basing on the determination of direct and inverse transfer from coal breaking near the seam roof by the shearer drum to rock breaking with the help of statistical analysis of the stator power of a cutting drive motor. Originality. For the first time, a method of synthesis of fuzzy automatic control of the drum in terms of seam hypsometry has been proposed. Practical value. The proposed method is the theoretical basis to solve important scientific and applied problem of the automation of the coal shearer drum in terms of seam hypsometry to reduce ash content of the produced coal.


	Наукова періодика України		Naukovyi visnyk Natsionalnoho Hirnychoho Universytetu