Autors: Yordanova, S. T., Slavov M., Prokopiev G.
Title: Disturbance Compensation in Fuzzy Logic Control of Level in Carbonisation Column for Soda Production
Keywords: Disturbance compensation, Level control, Mamdani fuzzy logic control, Programmable logic controller, Real time experimentation, TSK plant model

Abstract: The intelligent approaches emerge as leading techniques in providing of stable and high performance control of industrial plants with nonlinearity, model uncertainty, variables coupling and disturbances. In the present research a novel approach for the design of a nonlinear model-free fuzzy logic controller (FLC) with two inputs – the system error and the main measurable disturbance and a rule base for disturbance compensation is suggested. It is based on expert knowledge and off-line parameter optimisation via genetic algorithms (GA). The approach is applied for the development of a FLC for the control of the level of ammonia brine solution in a carbonisation column with compensation of the changes in the inflow pressure. The control algorithm is implemented in a general purpose industrial programmable logic controller (PLC) in ”Solvay Sodi” SA – Devnya, Bulgaria. The assessed from real time control FLC system with disturbance compensation outperforms the FLC with a the error input.

References

    Issue

    WSEAS Trans. on Systems and Control, vol. 15, issue 8, pp. 64-72, 2020, Greece, , https://doi.org/10.37394/23203.2020.15.8

    Цитирания (Citation/s):
    1. Michael Gr. Voskoglou (2020) Applications of Fuzzy Linear Programming to Business Problems 19,pp.343-348 DOI: 10.37394/23206.2020.19.34, E-ISSN: 2224-2880 - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Kaipbergenov B.T., Fayzullaev B.A., Elmuratov M.K. (2021) Modeling of the Technological Process of Ammonization of Soda Production Under Conditions of Changing Initial Data. In: Aliev R.A., Yusupbekov N.R., Kacprzyk J., Pedrycz W., Sadikoglu F.M. (eds) 11th World Conference “Intelligent System for Industrial Automation” (WCIS-2020), Tashkent, Uzbekistan, 26-28 Nov.2020,WCIS 2020. Advances in Intelligent Systems and Computing, vol 1323 pp. 309-315 . Springer, Cham. https://doi.org/10.1007/978-3-030-68004-6_40, Print/Online ISBN: 978-3-030-68003-9/978-3-030-68004-6 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор