INFORMATION SYSTEM FOR CONTROL OF MAGNETIC-PULSE PROCESSING OF DETAILS OF SHIP POWER PLANTS
https://doi.org/10.33815/2313-4763.2019.1.20.079-086
Abstract
The complexity of controlling the M&E process is that it is necessary to simultaneously control several parameters (magnetic field strength, number of pulses in series, pulse time in series, intervals between pulses in series, number of pulse series). At this point in time, there are in fact no clear formal models describing the process of action of a pulsed magnetic field on a product. The purpose of the work is to increase the efficiency of the M&E process of metal products by developing an information management system. The article describes the method of constructing a fuzzy rule base based on numerical data for an intelligent control system for the selection of magnetic pulse processing modes based on the ANFIS network. This method will reduce the time to build a rule base of the process control module. The important scientific-applied problem of increasing the efficiency of control of the process of magnetic-pulse processing of metal products in the conditions of application of information technologies based on the principles of functioning of fuzzy neural networks and genetic algorithms is solved in the work.
The analysis of the use of existing information technologies for solving the problems of control of the processes of magnetic-pulse processing of metal products is performed. The necessity of development of new and improvement of existing mathematical and software of information systems of process control of MIO of metal products is determined.
The concept of construction of an information system for process control of MIO of metal products is offered, which provides adaptive control of such process in the conditions of incompleteness of the initial data with respect to the physical and mechanical properties of a specific product, which allows to simplify significantly the process of choosing the parameters of MIO for similar geometric products.
The information technology of control of M&E of metal products is developed, which allows to control the processes of their processing taking into account the properties of the material and the shape of the product and provides a quick adjustment of technological equipment for processing of products of different type.
The software and hardware of the MIO control information system have been developed, which enables the practical implementation of the created information technology of metalworking process control.
The main criteria for evaluating the efficiency of the application of the proposed information technology, which allows to implement options for managing the process of M&E, which provide an improvement in the economic and temporal indicators of such processing, compared with existing approaches by 25-30%.
References
Kozlyuk, A. Yu. & Ovcharenko, A. G. (2006). Konkurentosposobnostj magnitno-impuljsnoyj obra-botki v mashinostroenii. Upravlenie kachestvom obrazovaniya, produkcii i okruzhayutheyj sredih : mater. vserossiyjskoyj nauch.-prakt. konf. Biyjsk: AltGTU, 208–211.
Babak, V. F. & Rihzhenko, I. N. (1999). Aspektih proektirovaniya informacionnihkh sistem. Tezisih konferencii posvyathennoyj 200-yu so dnya rozhdeniya Pushkina. Bishkek-KRSU.
Barkov, M. B. (2004). Sistemih iskusstvennogo intellekta v mashinostroenii : ucheb. posobie. Saratov : Sarat. gos. tekhn. un-t.
Kazakov, P. V. (2008). Optimizaciya mnogoehkstremaljnihkh funkciyj na osnove klasternoyj modifikacii geneticheskogo algoritma. Odinnadcataya nacionaljnaya konferenciya po iskusstvennomu intellektu KII-08 : trudih konferencii. T. 3. Moskva : Lenand, 26–32.
Minaev, Yu. N., Filimonova, O. Yu., Benameur Lies. (2003). Metodih i algoritmih resheniya zadach identifikacii i prognozirovaniya v usloviyakh neopredelennosti v neyjrosetevom logicheskom bazise. Moskva : Goryachaya liniya – Telekom.
Atanov, S. K. (2012). Algoritmih nechetkoyj logiki v sistemakh s mikrokontrollernihm upravleniem. DSpace software copyright.
Galushkin, A. I. (2010). Neyjronnihe seti. Osnovih teorii. Moskva : Goryachaya liniya – Telekom.
Goncharova, S. G. (2001). Intellektualjnaya sistema upravleniya processom mekhanoobrabotki s operativnihm ispoljzovaniem nechetkoyj neyjrosetevoyj modeli znaniyj. Nauchnaya biblioteka dissertaciyj i avtoreferatov disserCat.
Zoriktuev, V. C., & Shangareev, R. R. (2010). Sistema avtomaticheskogo upravleniya rezhimami rezaniya na osnove nechetkoyj logiki. Ufa : UGATU. T. 14. № 2 (37), 163–169.
Kochura, A. V. (2010). Geneticheskie algoritmih v MathLab : metodicheskie ukazaniya po vihpolneniyu laboratornoyj rabotih po discipline «Sovremennihe nauchnihe problemih proektirovaniya i tekhnologii ehlektronnihkh sredstv». Kursk.
Leonenkov, A. V. (2005). Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH. Sanct-Peterburg : BKhV-Peterburg.
