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. PobedinskiyRussian 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
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
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
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