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

  • Denis Solovjev
  • Alexander Arzamastsev
  • Inna Solovjeva
  • Yuri Litovka
  • Alexey L’vovEmail author
  • Nina Melnikova
Conference paper
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 199)


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.


Electroplating process Unevenness of plating Mathematical model Rule-based model of knowledge Decision-maker The system of fuzzy rules Object of control System of control System decision support 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Tambov State University Named After G.R. DerzhavinTambovRussian Federation
  2. 2.Tambov State Technical UniversityTambovRussian Federation
  3. 3.Yuri Gagarin State Technical University of SaratovSaratovRussian Federation

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