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Intelligent control of the debarker tool

https://doi.org/10.21266/2079-4304.2021.237.221-241

Abstract

The problem of improving the rotary debarkers, which are used without fail in all timber processing technologies of the timber industry countries, is considered. Despite the sufficiently developed design, nevertheless, the main technological operations of the machine are not equipped with modern adaptive automatic control systems (ACS). Previously, developments based on a pneumatic hydraulic drive were proposed using automatic control based on fuzzy logic. In the proposed automatic control system, the stabilization of a given pressing force of the cutting tool – the debarker is performed. However, the given force depends on a number of technological parameters, which are characterized by uncertainty, and the problem of controlling the given clamping of the tool remains unsolved. Thus, the goal of the research was determined, which was to create an intelligent system for automatic control of a given pressure of the debarker staple lifter. The following tasks were solved: 1) development of an intelligent control scheme for the debarker; 2) development of a diagram of a generalized intelligent control system in the form of a neuro-fuzzy network; 3) setting the task of controlling the given clamping of the tool; 4) justification of the input and output variables of the problem (fuzzification); 5) development of a fuzzy system rule base; 6) execution of fuzzy conclusions for intermediate and final layers of the network in the Matlab environment; 7) implementation of the model of an intelligent system in the Matlab + Simulink environment. The results of the work are a model of an intelligent control system for the debarker and its software implementation in the Simulink environment for use in the practice of designing rotary debarkers.

About the Authors

V. V. Pobedinskiy
FSBEI HE «Ural State Forest Engineering University»
Russian Federation

POBEDINSKIY Vladimir V. – DSc (Technical), professor, head. Department of Intelligent Systems

620100. Federation, Sibirsky Trakt str. 37. Yekaterinburg

AuthorID: 648495

ResearcherID: G-3245-2018



I. N. Kruchinin
FSBEI HE «Ural State Forest Engineering University»
Russian Federation

KRUCHININ Andrey N. – DSc (Technical), Grand PhD in Engineering sciences, associate Professor, Professor of the Department of Transport and Road Construction

620100. Federation, Sibirsky Trakt str. 37. Yekaterinburg

Authir ID: 44188473

Researcher ID: W-3259-2018

Scopus Authir ID: 57211208119



S. V. Lyakhov
FSBEI HE "Ural State Forestry Engineering University"; FSAEI HE «Ural Federal University named after the first President of Russia B.N. Yeltsin»
Russian Federation

LYAKHOV Sergey V. – PhD (Technical), Associate Professor, of the Department of Intelligent Systems; Associate Professor of the Department of Hoisting-and-Transport Machines and Robots

620100. Federation, Sibirsky Trakt str. 37. Yekaterinburg

AuthorID: 0000-0003-4514-7121

ResearcherID: ABF-5159-2020



E. V. Pobedinskiy
FSBEI HE «Ural State Agrarian University»
Russian Federation

POBEDINSKIY Egor V. – PhD student of the Department of Service for Transport and Technological Machines and Equipment of Agroindustrial Complex

620075. Karl Liebknecht str. 42. Yekaterinburg

AuthorID: 902167

ResearcherID: R-2080-2018



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Review

For citations:


Pobedinskiy V.V., Kruchinin I.N., Lyakhov S.V., Pobedinskiy E.V. Intelligent control of the debarker tool. Izvestia Sankt-Peterburgskoj lesotehniceskoj akademii. 2021;(237):221-241. (In Russ.) https://doi.org/10.21266/2079-4304.2021.237.221-241

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ISSN 2079-4304 (Print)
ISSN 2658-5871 (Online)