Fuzzy-Neural Control of Hot-Rolling Mill
This paper deals with the application of Fuzzy-Neural Networks (FNNs) in multi-machine system control applied on hot steel rolling. The electrical drives that used in rolling system are a set of three-phase induction motors (IM) controlled by indirect field-oriented control (IFO). The fundamen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2010-12-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Online Access: | http://ijeee.org/volums/volume6/IJEEE6PDF/Paper626.pdf |
| Summary: | This paper deals with the application of
Fuzzy-Neural Networks (FNNs) in multi-machine
system control applied on hot steel rolling. The
electrical drives that used in rolling system are a
set of three-phase induction motors (IM)
controlled by indirect field-oriented control
(IFO). The fundamental goal of this type of
control is to eliminate the coupling influence
though the coordinate transformation in order to
make the AC motor behaves like a separately
excited DC motor. Then use Fuzzy-Neural
Network in control the IM speed and the rolling
plant. In this work MATLAB/SIMULINK models
are proposed and implemented for the entire
structures. Simulation results are presented to
verify the effectiveness of the proposed control
schemes. It is found that the proposed system is
robust in that it eliminates the disturbances
considerably. |
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| ISSN: | 1814-5892 2078-6069 |