Neuro-Fuzzy System for Compensating Slow Disturbances in Adaptive Mold Level Control

Neuro-Fuzzy System for Compensating Slow Disturbances in Adaptive Mold Level Control

Good slow disturbances attenuation in a mold level control with stopper rod is very important for avoiding several product defects and keeping down casting interruptions. The aim of this work is to improve the accuracy of the diagnosis and compensation of an adaptive mold level control method for sl...

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Bibliographic Details
Main Authors: Guillermo González-Yero, Reynier Ramírez Leyva, Mercedes Ramírez Mendoza, Pedro Albertos, Alfons Crespo-Lorente, Juan Manuel Reyes Alonso
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Metals
Subjects:
fuzzy neural networks
adaptive systems
disturbance rejection
continuous casting
mold level fluctuation
stopper rod
Online Access:https://www.mdpi.com/2075-4701/11/1/56

Internet

https://www.mdpi.com/2075-4701/11/1/56

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