Dissertation > Excellent graduate degree dissertation topics show

Research on Automatic Gague Control System of Medium Plate Rolling Mill

Author: SunWei
Tutor: LiHaiBin
School: Yanshan University
Course: Control Engineering
Keywords: Automatic gauge control Absolute AGC Relative AGC Electrical gaugecontrol Hydraulically gap control Work roll bending system(WRB)
CLC: TG334.9
Type: Master's thesis
Year: 2012
Downloads: 44
Quote: 0
Read: Download Dissertation

Abstract


In recent years, the steel enterprises of China have introduced foreign advanced plateproduction line, therefore their technical equipment and technical level are in leadingpositions in the world. However, excess production capacity of plate product has become aunavoidable problem and the market competition is super intense. In this case, it becomesemergent to improve the product quality and the thickness of the products in the rate ofaccuracy and to reduce the cost of each enterprise so that this technology can change itspresent situation in working of funds.This paper makes a conclusion that the roll gap compensation control has a effect onthe finished plate thickness accuracy through viewing the AGC associated with the datarecorded by the PDA curves and the Shou Qin plate which has a higher level of plates’thickness control by comparing the statistics of the finished dimension conformity ratewith the reality of Shou Qin4300mm plat mill automatic gauge control system.First of all, this paper clarifies that the absolute AGC control is inseparable with L2thickness control model by presenting the conception and development of AGC and millroll gap control principle. Secondly, the mill automation system consists of the structureand automation hardware, the construction of factory automation network, PLC hardware,the scene automation element and the actuating element, which dominates the dataexchange. Thirdly, the rolling mill thickness control is directly related to the electriccontrol system (EGC), the hydraulic roll gap control system (HGC), and the mechanicalstructure, the control structure and the hydraulic control principle of the roll bendingcontrol system are discussed with the combination of advanced sensor and the effectiveexecutive element. Finally, the AGC has obvious superiorities in the finished platethickness accuracy verified by the analysis of field test data and the AGC data.

Related Dissertations

  1. Research on Synthetical Automatic Gauge Control of 1700 Tandem Cold Mill,TG334.9
  2. Adaptive Smith Predictor reversing cold rolling mill feedback AGC Control Strategy,TP273
  3. Research on Integrated Strategy of Strip Thickness Control,TG335
  4. Application Research of Prediction Control in Mill Hydraulic AGC System,TP273
  5. The Research on Prediction of the Rolling Force Based on Wavelet Neural Networks and Automatic Gauge Control System,TP273.5
  6. Study on Roll Eccentricity Control for Flat Rolling Mill,TG333.17
  7. Study and Application of Strategy to Improve Gauge Accuracy for Tandem Cold Mill,TG335.12
  8. Research and Application of Condition Monitoring and Fault Diagnosis for Strip Mill AGC Systems,TP277
  9. 600mm study of nine hot continuous rolling AGC system,TG334.9
  10. The Study of Automatic Gauge Control of Continuous Cold Rolling Mill,TG334.9
  11. Research on Automatic Gauge Control Based on Smith Adaptive Identification,TP273
  12. The Research and Application of Plate Rolling Tracking and Automatic Rolling,TG334.9
  13. Design of AGC Cotrol System for TISC3500mm Plate Mill,TG334.9
  14. Research and Application on AGC System for a Hot Tandem Rolling Mill,TG334.9
  15. Research on Multi-Agent Theory and Its Application in Gauge Control System,TG334.9
  16. Research on Automatic Gauge Control and Simulation of Rolling System,TG334.9
  17. Research on Identification&Robust Control for Rolling Mill HAGC System,TG334.9
  18. Study and Application of Gauge Control System for1450mm Tandem Cold Mill,TG334.9
  19. The Model and Algorithm Research on Hydraulic AGC System of Rolling Mill,TG333
  20. Hot rolling strip thickness of the neural network prediction model and fuzzy control method,TG335.11

CLC: > Industrial Technology > Metallurgy and Metal Craft > Metal pressure processing > Rolling > Rolling mill machinery equipment > Rolling automation
© 2012 www.DissertationTopic.Net  Mobile