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Intelligent Auto-tracking System of Water Rushing Slag for Casting House

  • Hui Huang
  • Jian-chao Bi
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 78)

Abstract

To solve the closed-loop auto-tracking control puzzle of water rushing waste slag in the blast furnace casting house, the paper presented a sort of the Adaptive Control Strategy based on human simulated intelligent controller. In the paper, it pointed out the puzzle of implementing closed-loop control in detail, analyzed the character of controlled object, presented a sort of human simulated intelligent control strategy, and structure mode of control algorithm, and adaptive strategy of human simulated task as well as human simulated parameter. By means of the designed industrial computer control system, the experiment of iron making field running was made. The field running effect showed that the uncertainty adaptive auto-tracking system of water rushing waste slag is effective and practicable, and better in robustness, high in control precision. The engineering practice shows that the presented control strategy has important engineering application value.

Keywords

Iron making water rushing waste slag system intelligent control auto-tracking system 

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References

  1. 1.
    Li, G., Kong, J., Jiang, G.: Research and application of hybrid intelligent control for coke oven heating process. In: WCICA 2008 7th World Congress on Intelligent Control and Automation, pp. 4357–4360 (2008)Google Scholar
  2. 2.
    Jiang, G., He, T., Li, G., Kong, J.: Intelligent control of coke oven. In: 2010 International Conference on Logistics system and intelligent management, pp. 512–515 (2010)Google Scholar
  3. 3.
    Wu, M., Cao, W.-H., He, C.Y., She, J.H.: Integrated intelligent control of gas mixing-and-pressurization process. IEEE Transictions on Control Systems Technology 17(1), 68–77 (2009)CrossRefGoogle Scholar
  4. 4.
    Zhang, X., Sun, Y., Li, S., Wang, Y.: Research on a direct track intelligent control method of large ship. In: ICAL 2009 IEEE International Conference on Automation and Logistics, pp. 1293–1297 (2009)Google Scholar
  5. 5.
    Geng, L.: Research on A Control Strategy Configuration Platform for Field Intelligent Control Network. In: 8th International Conference on Electronic Mesurement and Instruments, ICEMI 2007 pp. 3-126–3-130(2007)Google Scholar
  6. 6.
    Su, K.H., Kung, C.C., Chen, T.H.: Design and Application of Strategy -oriented hybrid intelligent controller for nonlinear dynamical system. In: IEEE International conference on System, Man and Cybernetics, ISIC, pp. 115–120 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hui Huang
    • 1
  • Jian-chao Bi
    • 2
  1. 1.Dept. of AutomationChongqing Industry Polytechnic CollegeChongqingChina
  2. 2.College of AutomationChongqing UniversityChongqingChina

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