• DocumentCode
    2308707
  • Title

    Simulation experiment platform for optimal control of the raw slurry blending process in the alumina production

  • Author

    Guo, Wanli ; Bai, Rui ; Ren, Qunying ; Cui, Mingli

  • Author_Institution
    Sch. of Electr. Eng., Liaoning Univ. of Technol., Jinzhou, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    3443
  • Lastpage
    3447
  • Abstract
    Raw slurry blending process is the important process in the alumina production. This process has the complicated characteristics such as the fluctuation of chemical content of the raw materials, variation of the working station, and uncertainty. It is difficult to use the conventional control strategy to realize the optimization control for the raw slurry blending processes. Lots of experiments and simulations for the advanced and complicated optimal control must be implemented before they are utilized in the industrial process. In order to provide a appropriate research platform for the optimal control of the raw slurry blending process, a hardware-in-the-loop simulation platform is proposed with the view of industry. The proposed hardware-in-the-loop simulation platform is different to the conventional simulation software, which is composed of the optimal model computer, virtual equipment of the actuator and sensor, Rockwell PLC. All the signals in this platform are the standard industry signals. The proposed platform can be use as an effective platform for the research of the modeling, control and optimization of the raw slurry blending process.
  • Keywords
    actuators; alumina; blending; fluctuations; industrial control; optimal control; optimisation; programmable controllers; sensors; slurries; Rockwell PLC; actuator; alumina production; chemical content fluctuation; complicated optimal control; hardware-in-the-loop simulation platform; industrial process; optimal model computer; optimization control; raw slurry blending process; sensor; simulation experiment platform; simulation software; standard industry signals; virtual equipment; Computational modeling; Educational institutions; MATLAB; Optimal control; Process control; Production; Slurries; hardware-in-the-loop simulation; optimal control; raw slurry blending process; simulation platform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6359043
  • Filename
    6359043