Advertisement

Research on the Application Mechanism of Single Neuron SAC Algorithm in Feedforward Compensation System Based on Invariance Principle about Hot Strip Mill

  • Baoyong Zhao
  • Yixin Yin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7368)

Abstract

For the coupling characteristics about strip shape and gauge integrated system in hot strip mill, the feedforward compensation control method based on invariance principle was proposed, so the coupling problem of control system was effectively solved. The astringency mechanism and the stability mechanism of single neuron simple adaptive control were thorough analysis in this paper, and its application in strip shape and gauge integrated system of hot strip mill was realized. The simulation experiments achieve desirable control and thus prove its validity and feasibility.

Keywords

Single Neuron Simple Adaptive Feedforward Compensation Invariance Principle Strip Shape Gauge 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Yin, Y., Sun, Y., Shu, D.: Simple Adaptive Control Algorithm with Quadratic Performance and Its Application. Control and Decision, 236–238 (2000)Google Scholar
  2. 2.
    Chai, T.Y., Wang, G.: Globally Convergent Multivariable Adaptive Decoupling Controller and Its Application to a Binary Distillation Column. Int. J. Control, 415–429 (1992)Google Scholar
  3. 3.
    Lang, S.J., Gu, X.Y., Chai, T.Y.: A Multivariablized Self-tuning Feedforward Controller with Decoupling Design. IEEE Trans. AC 5, 474–477 (1986)CrossRefGoogle Scholar
  4. 4.
    Yin, Y.: The Study on the Intelligent Simple Adaptive Control Theory and Its Application. University of Science and Technology, Beijing, China (2001)Google Scholar
  5. 5.
    An, S., Sun, Y., Wang, J.: Simple Adaptive Control Algorithm and Development. Electric Machines and Control, 263–267 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Baoyong Zhao
    • 1
  • Yixin Yin
    • 1
  1. 1.School of Automation & Electrical EngineeringUniversity of Science and TechnologyBeijingChina

Personalised recommendations