Jie Dong, Chaonan Tong, and Kaixiang Peng, H Theory and its Application to the Position of Rolling Mill Control System, J. Univ. Sci. Technol. Beijing , 6(1999), No. 3, pp.230-233.
Cite this article as: Jie Dong, Chaonan Tong, and Kaixiang Peng, H Theory and its Application to the Position of Rolling Mill Control System, J. Univ. Sci. Technol. Beijing , 6(1999), No. 3, pp.230-233.
Automation

H Theory and its Application to the Position of Rolling Mill Control System

Author Affilications
  • The controller designed according to classical or modern control theory will not satisfy the performance requirements when the controlled object in industrial field can not be described by exact mathematical model or the disturbance of the controlled system. In order to make the controlled system stable and having good performance, H control theory was put forward to solve this practical problem. Taking the position of a rolling mill as the controlled object, it was rectified by optimal engineering way. Then, three different plans were put forward according to Bang-Bang control, LQ control and H control, respectively. The result of the simulation shows that the controller designed according to H method whose robust performance and ability to restrain colors disturbance is satisfactory.
  • Related Articles

    [1]Mohammad Ajmal, Masood Ahmed Tindyala, Ron Priestner. Effect of controlled rolling on the martensitic hardenability of dual phase steel [J]. International Journal of Minerals, Metallurgy and Materials, 2009, 16(2): 165-169. DOI: 10.1016/S1674-4799(09)60028-5
    [2]Xiaodong Wang, Anrui He, Quan Yang, Zhi Xie, Hongtao Yang. Study and application of crown feedback control in hot strip rolling [J]. International Journal of Minerals, Metallurgy and Materials, 2007, 14(2): 190-194. DOI: 10.1016/S1005-8850(07)60037-1
    [3]Qian Dong, Jianying Xie. A rate based congestion control algorithm in networks with coexisting unicast and multicast sessions [J]. International Journal of Minerals, Metallurgy and Materials, 2003, 10(3): 66-72.
    [4]Yadong Liu, Congxin Li, Xingui Guo, Decai Wang. Accurate tracking control in LOM application [J]. International Journal of Minerals, Metallurgy and Materials, 2003, 10(1): 74-78.
    [5]Fucheng Liao, Tohru KATAYAMA, Liancun Zheng. Robust exponential control of a class of systems with uncertainties [J]. International Journal of Minerals, Metallurgy and Materials, 2002, 9(2): 149-155.
    [6]Jing Wang, Hui Chen. Application of Diagonal Recurrent Neural Network to DC Motor Speed Control Systems [J]. International Journal of Minerals, Metallurgy and Materials, 2000, 7(1): 68-71.
    [7]Zidong Wang, Hanqi Hu. Nonlinear Theory on Dynamic Controlling interface Patterns During Solidification of a Dilute Binary Alloy [J]. International Journal of Minerals, Metallurgy and Materials, 1999, 6(4): 253-258.
    [8]Zhongsuo Shi, Yuan Li, Yikang Sun. AGC-ASC Synthetic Neural Net Control System in Rolling Process [J]. International Journal of Minerals, Metallurgy and Materials, 1998, 5(2): 108-112.
    [9]Yuan Kui, Yu Che, Guo Feng, Yuan Xingjun. Intelligent Control of Multi-fingered Robot Hand [J]. International Journal of Minerals, Metallurgy and Materials, 1998, 5(2): 99-99.
    [10]WANG Zhiliang, XIE Lun, LI Chongjian. Application of intelligent control theory in AC servo system [J]. International Journal of Minerals, Metallurgy and Materials, 1997, 4(3): 43-45.

Catalog

    Share Article

    Article Metrics

    Article views (298) PDF downloads (7) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return