Fuzzy-Neural Control of Hot-Rolling Mill

Abstract

This paper deals with the application ofFuzzy-Neural Networks (FNNs) in multi-machinesystem control applied on hot steel rolling. Theelectrical drives that used in rolling system are aset of three-phase induction motors (IM)controlled by indirect field-oriented control(IFO). The fundamental goal of this type ofcontrol is to eliminate the coupling influencethough the coordinate transformation in order tomake the AC motor behaves like a separatelyexcited DC motor. Then use Fuzzy-NeuralNetwork in control the IM speed and the rollingplant. In this work MATLAB/SIMULINK modelsare proposed and implemented for the entirestructures. Simulation results are presented toverify the effectiveness of the proposed controlschemes. It is found that the proposed system isrobust in that it eliminates the disturbancesconsiderably