• DocumentCode
    3700227
  • Title

    Research on speed and tension multivariable system of reversible cold strip mill based on ILQ theory

  • Author

    Gang Zheng;Xiao-Li Chao;Zhe Yang; Fu-Caiqian

  • Author_Institution
    Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, School of Automation and Information Engineering, Xi´an University of Technology, Xi´an 710048, China
  • Volume
    1
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    For the speed and tension system of reversing cold strip mill with multivariable, uncertainties and strong coupling, a new method of inverse linear quadratic (ILQ) is proposed. Firstly, a relatively complete mathematical model for the speed and tension multivariable coupling system is established by using the mechanism modeling method. Then according to the state-space expression of the controlled system and aspirations closed-loop poles, optimal feedback matrix is obtained by ILQ method. Instead of choosing the weighted matrix simplifies the design process, and the asymptotic behavior of the system is robust. Simulation results show the effectiveness of this method.
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICMLC.2015.7340907
  • Filename
    7340907