System of fuzzy automatic control of coal massif cutting by a shearer drum

Up to now, automatic control of the shearer speed has been performed to keep the actual speed at an operator-specified level or to keep the actual power at a stable level without overheating or overturning. However, the problem of control of coal seam cutting by the upper drum of a shearer in the case of a variable angle of drum – coal seam contact has yet to be studied. The aim of this work is to develop a method for synthesizing a system of fuzzy automatic control of coal massif cutting by a shearer drum based on an information criterion for the power efficiency of coal cutting with cutters. In this work, based on an information criterion for the power efficiency of coal cutting with cutters, a fuzzy inference algorithm is constructed for a system of automatic control of coal massif cutting by a shearer drum. In doing so, the parameters of the output linguistic variable term membership functions of the system and fuzzy operations are determined according to the recommendations of the classical Mamdani fuzzy inference algorithm using substantiated fuzzy production rules. The fuzzy inference algorithm constructed in this work is tested for efficiency based on the fraction of effective control actions generated by the fuzzy automatic control system. Using simulation, the efficiency of drum rotation speed control with the use of the proposed fuzzy inference algorithm is compared with that with the use of an uncontrolled shearer cutting drive. The study of the generation of control actions involving the upper shearer drum rotation speed showed that effective control actions were generated in the overwhelming majority of cases (about 93%). The proposed method forms a theoretical basis for the solution of the important scientific and practical problem of upper shearer drum rotation speed control automation with the aim to reduce specific power consumption and the amount of chips.

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

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu ◽

10.33271/nvngu/2021-3/005 ◽

2021 ◽

pp. 5-13

Author(s):

A.V Bublikov ◽

V.V Tkachov ◽

D.L Kolosov ◽

G Gruhler ◽

M.I Stadnik

Keyword(s):

Control System ◽

Fuzzy Control ◽

Coal Seam ◽

Automatic Control ◽

Fuzzy Inference ◽

Information Criterion ◽

Rock Cutting ◽

Ash Content ◽

Effective Control ◽

Inference Algorithm

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 shearers 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.

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Modeling and Simulation of Coal Loading by Cutting Drum in Flat Seams

Archives of Mining Sciences ◽

10.1515/amsc-2016-0027 ◽

2016 ◽

Vol 61 (2) ◽

pp. 365-379 ◽

Cited By ~ 8

Author(s):

Piotr Gospodarczyk

Keyword(s):

Coal Seam ◽

Discrete Element Method ◽

Modeling And Simulation ◽

Theoretical Models ◽

Kinematic Parameters ◽

Coal Seams ◽

Physical Systems ◽

Efficient Simulation ◽

Coal Cutting ◽

Selection Of

Abstract This paper presents a methodology for modeling work of a coal shearer work in low longwall coal seams where the wall height does not exceed 1.5 m. In such conditions, an important issue is the process of loading the ore from shearer cutting drum on an armored face conveyor and selection of appropriate kinematic parameters to avoid choking. Discrete element method was used to model coal seam. This method allows for efficient simulation of physical systems composed of many separate components. Methods and algorithms based on existing theoretical models were developed to imitate coal cutting process. Main focus of analysis was put on coal stream movement for different variants of the shearer construction and kinematic parameters.

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About Premise Reduction of Fuzzy Inference Algorithm

Fuzzy Information and Engineering ◽

10.1007/s12543-009-0019-8 ◽

2009 ◽

Vol 1 (3) ◽

pp. 247-257

Author(s):

Cheng-yi Zhang ◽

Qi Niu ◽

De-jun Peng ◽

Juan Li

Keyword(s):

Fuzzy Inference ◽

Inference Algorithm

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Fast Fuzzy Inference Algorithm for Fuzzy System constructed with Triangular Membership Functions

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2002.12.1.007 ◽

2002 ◽

Vol 12 (1) ◽

pp. 7-13

Author(s):

Byung-Kook Yoo

Keyword(s):

Fuzzy System ◽

Fuzzy Inference ◽

Inference Algorithm ◽

Membership Functions

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Uso de la Estructura de tallas como evidencia del establecimiento poblacional del pez león Pterois volitans (Scorpaeniformes: Scorpaenidae) en el sur del Caribe Mexicano.

Revista de Biología Tropical ◽

10.15517/rbt.v64i1.18943 ◽

2016 ◽

Vol 64 (1) ◽

pp. 353 ◽

Cited By ~ 4

Author(s):

Miguel Mateo Sabido-Itzá ◽

Alejandro Medina-Quej ◽

Alberto De Jesús-Navarrete ◽

Jorge Manuel Gómez-Poot ◽

María Del Carmen García-Rivas

Keyword(s):

Population Structure ◽

Ecological Study ◽

Population Monitoring ◽

Control Measures ◽

Effective Control ◽

Control Actions ◽

Mexican Caribbean ◽

Back Calculation ◽

Continuous Population ◽

Negative Impacts

The lionfish (P. volitans) has now invaded all the Mexican Caribbean and Gulf of Mexico, with the potential to cause negative impacts on the reefs. In the South Mexican Caribbean was firstly reported in July 2009, and six years after this report, some control measures such as fish tournament and local marketing have been implemented. However, information on its biology and invasion is still-lacking, so this study analyzed the population structure of 2 164 organisms collected from 2009 to 2012. An increase was observed in sizes for each year averaging Total length (Tl): 118 ± 34.8, 133 ± 56.3, 187 ± 74.8 and 219 ± 72.4 mm, respectively. Lionfish establishment at the study site is shown for the presence of juveniles’ sizes 20 mm TL up to 375 mm TL. When the back-calculation was obtained, we estimated that the larger fish could have recruited in early 2006, three years before the first report was made. A continuous population monitoring and an ecological study, will allow us to clarify the real impact in the ecosystems of the region and so to propose the most effective control actions.

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Issues of Estimating the Quality of the Facilities Management of the Emercom of Russia at the Elimination of the Emergency Situations Consequences

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.38.24759 ◽

2018 ◽

Vol 7 (4.38) ◽

pp. 704

Author(s):

Valeriy Borisovich Vilkov ◽

Andrey Kliment’evich Chernykh ◽

Alexander Alekseevich Tarantsev ◽

Yuri Evgenievich Aktersky ◽

Ilya Danilovich Cheshko

Keyword(s):

Fuzzy Logic ◽

Fuzzy Sets ◽

Fuzzy Inference ◽

Facilities Management ◽

Inference Algorithm ◽

Emergency Situations ◽

The Russian Federation ◽

Civil Defence ◽

Sets Theory

The article deals with the problem of multiobjective optimization with regard to the decision making on the use of the forces and facilities of the EMERCOM of Russia (Ministry of the Russian Federation for Affairs for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters). The purpose of the article is to create a method for prompt and reasonable calculations when making a decision on the use of the EMERCOM forces and facilities to eliminate the consequences of emergency situations. The proposed method uses fuzzy sets, fuzzy logic, and the Mamdani fuzzy inference algorithm. The work gives a substantial example illustrating the application of the mentioned theory to solve the problem of choosing the optimal version of the task performed by the facilities of the EMERCOM of Russia. Regarding the novelty, it should be noted that the quality characteristics of the solutions are fuzzy and not unambiguously defined, and therefore allow applying the effective mathematical apparatus of fuzzy sets theory, fuzzy logic and the Mamdani fuzzy inference algorithm in solving this problem.

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Quantum Software EngineeringSupremacy in Intelligent Robotics

System Analysis in Science and Education ◽

10.37005/2071-9612-2020-4-135-146 ◽

2020 ◽

pp. 135-146

Author(s):

V. V. Korenkov ◽

A. G. Reshetnikov ◽

S.V. Ulyanov

Keyword(s):

Fuzzy Inference ◽

Quantum Algorithms ◽

New Method ◽

Inference Algorithm ◽

Robotic Control ◽

Circuit Implementation ◽

New Approach ◽

Support Tool ◽

Quantum Operators ◽

Intelligent Robotics

A new approach for implementing quantum massive parallel computations is presented, using methods of circuit implementation of quantum algorithmic gates. Methods for designing fast quantum operators such as superposition, entanglement, andinterference are considered. The presented methodsallow you to reduce the number of actions that must be performed. The implementation is presented as a support tool for SW&HW supercomputer accelerator for modeling quantum algorithms. In particular, a newquantum-genetic and quantum-fuzzy inference algorithm for intelligent robotic control has been implemented. Also, a new method for performing Grover's inference without operations with the productis presented.

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