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Search of Optimum Conditions of Plating Using a Fuzzy Rule-Based Knowledge Model

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Recent Research in Control Engineering and Decision Making (ICIT 2019)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 199))

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Abstract

The paper discusses existing approaches to modeling the thickness distribution of plating. However, these approaches do not take into account the experience, knowledge and intuition of the decision makers in the process of searching optimal conditions of the technological process of electroplating. The authors propose an original approach to the search for optimum conditions of plating with using rule-based model of knowledge with the aim of reducing the uneven thickness distribution on the product. Studied the structural schemes of the traditional system of management of the galvanic process and system based on rule-based knowledge model. The system fuzzy-rule-knowledge model allows to obtain a predetermined the unevenness of the plating with a high degree of adequacy.

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Authors and Affiliations

  1. Tambov State University Named After G.R. Derzhavin, Tambov, Russian Federation

    Denis Solovjev & Alexander Arzamastsev

  2. Tambov State Technical University, Tambov, Russian Federation

    Denis Solovjev, Inna Solovjeva & Yuri Litovka

  3. Yuri Gagarin State Technical University of Saratov, Saratov, Russian Federation

    Alexey L’vov & Nina Melnikova

Authors
  1. Denis Solovjev
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  2. Alexander Arzamastsev
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  3. Inna Solovjeva
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  4. Yuri Litovka
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  5. Alexey L’vov
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  6. Nina Melnikova
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Corresponding author

Correspondence to Alexey L’vov .

Editor information

Editors and Affiliations

  1. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  3. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  4. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  5. Department of Automation, Novosibirsk State Technical University, Novosibirsk, Russia

    Vadim Zhmud

  6. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Solovjev, D., Arzamastsev, A., Solovjeva, I., Litovka, Y., L’vov, A., Melnikova, N. (2019). Search of Optimum Conditions of Plating Using a Fuzzy Rule-Based Knowledge Model. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_46

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