Coiling eccentricity compensation control system based on BP Neural Network Algorithm

This paper proposes the eccentric problem in the coiling process. The BP Neural Network Algorithm compensation control method is designed: A BP Neural Network multi-resolution controller is introduced in the control cycle of coiling tension control, the purpose of the controller is to reduce the inf...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wenquan Sun, Jian Shao, Anrui He, Quan Yang, Jianlong Guan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Biological neural networks coiling eccentricity Coils cold rolling eccentricity compensation method Fluctuations Neural Network Algorithm Neurons Process control Strips Training
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	This paper proposes the eccentric problem in the coiling process. The BP Neural Network Algorithm compensation control method is designed: A BP Neural Network multi-resolution controller is introduced in the control cycle of coiling tension control, the purpose of the controller is to reduce the influence of coiling eccentricity on tension, thickness and flatness of strip. The simulation result approves that the method is effective to improve the coiling tension control precision.
DOI:	10.1109/ICECC.2011.6066538