|Autors: Yordanova, S. T., Yankov, V. G., Marinchev, A. P.|
Title: Real Time Adaptive Fuzzy Control of Coupled Levels via Programmable Logic Controller
Keywords: Fuzzy logic control, genetic algorithms, parallel distributed compensation, programmable logic controller, real time, coupled levels, supervisor based adaptation, Takagi-Sugeno-Kang modelling.
Abstract: The coupled levels control is important for the energy and material balance in many industrial installations. The multivariable, nonlinear and ill-defined when the inflow and the outflow are supplied via pumps plant is difficult to model and controlby classical means. Intelligent approaches based on fuzzy logic (FL) and genetic algorithms (GAs) offer a proper alternative but the control algorithms are sophisticated for real time application. This paper suggests a methodology for the implementation of complex FL controllers (FLCs) on programmable logic controllers (PLC). First a model-free two-variable MamdaniFLC is designed and the data from real time control used for Takagi-Sugeno-Kang FL modelling of the nonlinear plant and its validation. Then a second level two-variable FL supervisor is added for improving system performance via auto-tuning of the scaling factors of the main FLC.
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Вид: публикация в международен форум