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SYSTEM SYNTHESIS FUZZY-LOGIC REGULATION OF NONLINEAR DYNAMIC OBJECTS

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Technical science and innovation

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The article reviews the task of developing a fuzzy logic PID-type controller for a non-linear dynamic system. The peculiarity of the structure which consists in simplification of its controller by decomposition is presented. The simplest version uses three fuzzy controllers with one input and one output and separate rule bases. The parameters of fuzzy controllers are optimized using a genetic algorithm. A two-step controller setup scheme for a nonlinear dynamic object is proposed. In the first step, the genetic algorithm is used to set up a linear PID-controller, showing that the resulting coefficients are used at the output of each channel of the fuzzy PID-type controller. In the second step, a genetic algorithm forms a nonlinear transformative function for each channel, implemented on the basis of an artificial neural network. The control algorithm is debugged and checked with the MatLab system. The results show a significant improvement in the transition performance compared to traditional controllers.

AUTHORS

I.Siddikov

TDTU

D.Umurzakova

TDTU

Tags

# adaptation# genetic algorithm# control systems# PID-controller# fuzzy logic controller# fuzzy variables

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Article Identifiers

ROI:

https://eroi.uz/11.0008/A0820-0022

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Not Available

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