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Autors: Yordanova, S. T.
Title: Intelligent Approaches to Real Time Level Control
Keywords: Fuzzy logic level control, genetic algorithms, multi-objective optimization, real time, TSK plant modeling.

Abstract: Liquid level control is important for energy and material balance in many installations but it also difficult as the plant is nonlinear, inertial and with model uncertainties. Fuzzy logic controllers (FLCs) are successfully applied to ensure system stability and robustness by simple means and a model-free design. This paper suggests a procedure for off-line tuning of the many FLC parameters based on optimization of a suggested multi-objective function defined on several system performance indices using genetic algorithms (GAs). First, a model-free FLC is empirically tuned, then applied for real time control of the plant to enable GA parameter optimization of a TSK plant model. The validated on different set of experimental data model is employed in FLC closed loop system simulation experiments in the GA optimization of the FLC pre-processing and post-processing parameters. The procedure is applied for the real time PI/PID FLC level control in a laboratory-scale tank system.


    I.J. Intelligent Systems and Applications, issue 10, pp. 19-27, 2015, Japan, ISBN ISSN: 2074-9058

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

    Въведена от: проф. д.т.н. Снежана Тодорова Йорданова