Application of fuzzy logic and neural network mechanism for control of electrical machines

Abstract

This article discusses the work performed to evaluate fuzzy logic methods and neural network models used in the control of electrical equipment. The goal of this research is to demonstrate that fuzzy logic with an optimized neural network algorithm is a good controlling mechanism for the rapid processing of electrical machines. The acquired experimental findings have highlighted the fact that the fuzzy logic approach is an effective controlling strategy for electrical machines since it does not consume more time and is also sensitive to differences in operational parameters. Based on the principles described, the Matlab Simulink tool was utilized for developing and simulating a control scheme for an induction motor.