ACTION MODEL OF MECHATRONIC DEVICES OF THE PRODUCTION MODULE FOR SURFACE CONDITIONING OF ALUMINUM CARDS

A network action model of mechatronic devices of an automated module designed for precision surface conditioning of aluminum cards is presented. Given the asynchronous and stochastic nature of parallel technological processes, the authors implement an integrated approach at the interface of fuzzy Petri networks and expert product systems. The paper formalizes in detail the interaction of key active elements: a cleanup unit, a vision system and an industrial robot. Special attention is paid to the development of a decision-making algorithm for stabilizing the temperature mode of a lamp furnace. By applying trapezoidal membership functions and forming a linguistic rule base, a flexible relationship is established between the speed of the conveyor and the angle of rotation of the servomotor valve. The scientific novelty is in the integration of network and production modeling, which makes it possible to take into account the parallelism and uncertainty of system parameters with a lack of accurate mathematical data. The obtained results of modeling confirm the effectiveness of the proposed tools for the design and control of modern intelligent production modules.

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Publication Details

Journal
Transport engineering
Published
2026-03-14
DOI
https://doi.org/10.30987/2782-5957-2026-3-24-35
Primary Topic
Mathematical Control Systems and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

ACTION MODEL OF MECHATRONIC DEVICES OF THE PRODUCTION MODULE FOR SURFACE CONDITIONING OF ALUMINUM CARDS

Malakhat Salmanova, Valeh Mustafaev, Kenul Alieva, Rena Rufullaeva
Transport engineering
Mathematical Control Systems and Analysis
article

ACTION MODEL OF MECHATRONIC DEVICES OF THE PRODUCTION MODULE FOR SURFACE CONDITIONING OF ALUMINUM CARDS

Malakhat Salmanova, Valeh Mustafaev, Kenul Alieva, Rena Rufullaeva
article en

Abstract

A network action model of mechatronic devices of an automated module designed for precision surface conditioning of aluminum cards is presented. Given the asynchronous and stochastic nature of parallel technological processes, the authors implement an integrated approach at the interface of fuzzy Petri networks and expert product systems. The paper formalizes in detail the interaction of key active elements: a cleanup unit, a vision system and an industrial robot. Special attention is paid to the development of a decision-making algorithm for stabilizing the temperature mode of a lamp furnace. By applying trapezoidal membership functions and forming a linguistic rule base, a flexible relationship is established between the speed of the conveyor and the angle of rotation of the servomotor valve. The scientific novelty is in the integration of network and production modeling, which makes it possible to take into account the parallelism and uncertainty of system parameters with a lack of accurate mathematical data. The obtained results of modeling confirm the effectiveness of the proposed tools for the design and control of modern intelligent production modules.

Transport engineeringVol. 2026(3)
Sumgayit State University (AZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Mathematical Control Systems and Analysis
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