Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems
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. In order to prevent emergency situations caused by the lost geotechnical system stability due to the uncertain behavior of the r...
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EDP Sciences
2019-01-01
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doaj-cb91046f734945ec82b118dc6f3491402021-02-02T08:10:22ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011090009110.1051/e3sconf/201910900091e3sconf_rmget18_00091Substantiation of fuzzy logic algorithms for control problems of a geotechnical systemsSlashchov Anton0Yalanskyi Oleksii1Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of UkraineNational Technical University Dnipro PolytechnicThe 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. In order to prevent emergency 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 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 and, consequently, can improve job safety in the mines.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/35/e3sconf_rmget18_00091.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Slashchov Anton Yalanskyi Oleksii |
spellingShingle |
Slashchov Anton Yalanskyi Oleksii Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems E3S Web of Conferences |
author_facet |
Slashchov Anton Yalanskyi Oleksii |
author_sort |
Slashchov Anton |
title |
Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
title_short |
Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
title_full |
Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
title_fullStr |
Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
title_full_unstemmed |
Substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
title_sort |
substantiation of fuzzy logic algorithms for control problems of a geotechnical systems |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
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. In order to prevent emergency 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 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 and, consequently, can improve job safety in the mines. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/35/e3sconf_rmget18_00091.pdf |
work_keys_str_mv |
AT slashchovanton substantiationoffuzzylogicalgorithmsforcontrolproblemsofageotechnicalsystems AT yalanskyioleksii substantiationoffuzzylogicalgorithmsforcontrolproblemsofageotechnicalsystems |
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1724297847089659904 |