Research of Furnace Temperature Optimization Control Method in Hot Rolling Process

Jun Yan Xu; Jian Rong Bu

doi:10.4028/www.scientific.net/AMR.230-232.7

Paper Titles

Preface and Organizing Committees

Wavelet Packet and Support Vector Machine for Engine Fault Diagnosis
p.1

Research of Furnace Temperature Optimization Control Method in Hot Rolling Process
p.7

Piezoelectric and Electrical Properties of Lead-Free (Na_0.5K_0.5)NbO₃- Bi_0.5(Na_0.80K_0.20)_0.5TiO₃ Ceramics
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A Structure Safety Assessment Method for Overhead Traveling Crane Based on Accident Tree Analysis
p.16

Method to Analyze Chemo-Mechanical Behavior of Shape Memory Polymer in Response to Solvent
p.21

A Smoke Simulation Technique Based on Particle System
p.26

Experimental Study on Reinforcing the Prestressed Concrete Hollow Slab with CFRP
p.31

Modeling and Optimization of Integrated Scheduling of Automated Warehouse System
p.35

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 230-232Research of Furnace Temperature Optimization...

Research of Furnace Temperature Optimization Control Method in Hot Rolling Process

Abstract:

To effectively solve the problems of high energy consumption, low control accuracy and time control-delay for furnace, this paper proposes the intelligent control strategies based on the process feature of walking beam furnace, namely fuzzy-RBF network self-learning and self-optimizing function, which is combined with dynamic PID feedback compensation strategy. The experiment shows that the system not only guarantees the furnace temperature control accuracy and increases the temperature up and down rate under working condition fluctuation, which reduces unit fuel consumption, unit electricity consumption and billet burning loss, but also improves the furnace production capacity.

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Periodical:

Advanced Materials Research (Volumes 230-232)

Pages:

7-11

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.230-232.7

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Online since:

May 2011

Authors:

Jun Yan Xu, Jian Rong Bu

Keywords:

Dynamic PID Feedback, Furnace, Fuzzy-RBF, Hot Rolling Process

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