Slashchov A.І., Yalanskyi O.A. Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems

Details

Parent Category: Geo-Technical Mechanics, 2019

Category: Geo-Technical Mechanics, 2019, Issue 147

Geoteh. meh. 2019, 147, 141-149

https://doi.org/10.1051/e3sconf/201910900091

SUBSTANTIATION OF FUZZY LOGIC ALGORITHMS FOR CONTROL PROBLEMS OF A GEOTECHNICAL SYSTEMS

¹Slashchov A.І., ²Yalanskyi O.A.

¹Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine,  ²National Technical University Dnipro Polytechnic

UDC 622.862.3:004.42

Language: English

Abstract.

The article presents results of study of intelligent fuzzy logic algorithms developed on the basis of fuzzy logic methods for information system of the mine safety system. Research methods: mathematical theory of fuzzy sets and fuzzy logic; methods for implementing fuzzy logic algorithms (fuzzification, inference and defuzzification) for converting input and output signals, creating expert rules and ensuring the functioning of the fuzzy controller; methods of organizing computational processes and building software models of information systems for constructing a model and analyzing the fuzzy controller process; simulation of fuzzy controller operation. In order to prevent emergenc y situations caused by the lost geotechnical system stability due to the uncertain behavior of the rock mass, a new fuzzy controller was designed which could generate an additional control signal. For the two-coordinate fuzzy controller, it is proposed to use the input parameters “Deviation” and “Derivative deviation”. To obtain the value of the derivative, a differentiating element was introduced into the fuzzy controller structure. At the output of the controller “Output”, a control signal is generated, which is one of the control criteria in the system for ensuring the assessment of the state of the geological environment, including mine roadways and means for their maintenance. It can also be used as a correction signal to control signals, which generated by classical control systems. For the fuzzy controller, methods of data fuzziness, inference and de-fuzziness were validate, and linguistic rules were designed in order to control parameters of the geotechnical system. With the help of the Cauchy problem solved by Runge-Kutta method of the 4th order, designed a software model of the proposed system which simulated the system operation. The model has proved operability and static stability of the developed algorithms. Output signal of the fuzzy controller can be used as information for estimating risk for geotechnical systems, preventing possible emergency situations. The process management process in the geotechnical system can be carried out by software by generating and transmitting danger signals, as well as initiating the creation of guidelines for the implementation of technical measures, which ultimately will ensure the effectiveness of warning personnel about possible emergency situations and increase occupational safety on mining enterprises.

Keywords: geomechanical processes, job safety, intelligent algorithms, fuzzy logic.

References

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2. Robert, V.Demicco & George, J.Klir (ed.) (2003), Fuzzy Logic in Geology, Academic Press, ISBN 9780080521893.

3. Bulat, A.F., Slashchov, I.N. & Slashchova O.A. (2017), Evaluation methods of interconnected geomechanical and gas dynamic processes in the rock massif for the systems of working medium control in the mines, Geoteh. meh., 134, 3-21.

4. Slashchov, A.I. (2016), Justification of the parameters of the information system assuring the underground mining safety, Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 1, 77–85.

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About the authors

Slashchov Anton Ihorovych, Candidate of Technical Sciences (Ph.D), Junior Researcher, Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine (IGTM, NASU), Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

Yalanskyi Oleksii Anatoliyovych, Candidate of Technical Sciences (Ph.D), Associate Professor, Associate Professor in Department of Electric Drive, National Technical University Dnipro Polytechnic (NTU «DP»), Dnipro, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.

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