Real-Time Online Control of Electric Furnace Temperature Based on BP Neural Network PID

Liang Ding; Shou Ming Zhang; Lin Xiao; Hao Jiang

doi:10.4028/www.scientific.net/AMM.278-280.1491

Paper Titles

Methods of Discontinuous Control for the Autonomous Underwater Vehicles
p.1473

Modeling and State Feedback Control of Three-Phase Active Power Filter on Switched System
p.1477

Motion Control in Laser Automatic Cutting System of Brand Pattern
p.1482

Precision Trajectory Tracking Control of a Pneumatic Cylinder and Output Stiffness Regulation
p.1486

Real-Time Online Control of Electric Furnace Temperature Based on BP Neural Network PID
p.1491

Reentry Guidance Based on Parametric Optimization
p.1496

Research and Application on Nonlinear Control Algorithms Based on Viscous Dampers
p.1500

Research on Adaptive Power Control System of Working Machinery
p.1504

Research on Vehicle Stability Based on DYC and AFS Integrated Controller
p.1510

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Real-Time Online Control of Electric Furnace...

Real-Time Online Control of Electric Furnace Temperature Based on BP Neural Network PID

Abstract:

This paper introduces the actual method for adjusting the real-time PID parameters in PLC through the BP neural network PID algorithm in Matlab. Basing on OPC communication mode, the zinc refining electric furnace temperature BP neural network PID on-line control system is designed by combining Matlab algorithm process and industrial control process. In this way, the precision and real-time control of the electric furnace temperature will be improved, and production consumption and cost can be reduced effectively.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1491-1495

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1491

Citation:

Cite this paper

Online since:

January 2013

Authors:

Liang Ding, Shou Ming Zhang, Lin Xiao, Hao Jiang

Keywords:

BP Neural Network PID, MATLAB, OPC, Real-Time Online, Zinc Refining Electric Furnace Temperature Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Qunfang Shuai and Zhiping Wu, Production practice and technical improvement of electric zinc furnace, China Nonferrous Metallurgy. 4 (2005) 36-38.

Google Scholar

[2] Jiangtao Feng, Communication design between MATLAB and industrial configuration software based on OPC, Control & Automation. 24(1) (2008) 295-296.

Google Scholar

[3] Mei Tan, An Luo and Ruinuo Chen, Research of EAF temperature control based on neural network, Materials Research. 21(2) (2005) 11-12.

Google Scholar

[4] Wei Li and Dijiu Ou, Improvement of automatic control on electric heating fore well by using PLC, Kunming University of Science and Technology (Natural Science Edition). 23(5) (1998) 101-102.

Google Scholar

[5] Jianping Huang, Research on PID controller based on BP neural network, Computer Simulation. 27(7) (2010) 167-170.

Google Scholar