• DocumentCode
    1598019
  • Title

    Self-Tuning Multivariable PID Decoupling Controller of Ball Mill Pulverizing System

  • Author

    Wang, Jie-sheng

  • Author_Institution
    Liaoning Univ. of Sci. & Technol., Anshan
  • Volume
    4
  • fYear
    2007
  • Firstpage
    738
  • Lastpage
    742
  • Abstract
    Ball mill coal pulverizing system of pelletizing plant is a complex nonlinear multivariable process with strongly coupling and time-delay, whose operations often varies violently. The automatic control of such systems is a research focus in the process control area. A new multivariable PID decoupling controller is proposed in this paper, which consists of diagonally matrix method-based decomposition compensatory unit, PID controller and fuzzy self-tuning components unit with scaling facto. Particle swarm optimization algorithm is also adopted to optimize parameters of PID controller. Simulation results show the validity of the model obtained and the control method proposed in this paper, the new method can overcome nonlinear and strong coupling features of the system in a wide range, and it has strong robustness and adaptability.
  • Keywords
    ball milling; fuzzy control; multivariable control systems; nonlinear control systems; particle swarm optimisation; process control; three-term control; automatic control; ball mill coal pulverizing system; complex nonlinear multivariable process; fuzzy self-tuning components unit; multivariable PID decoupling controller; particle swarm optimization algorithm; process control; self-tuning multivariable PID decoupling controller; time-delay; Automatic control; Ball milling; Control systems; Couplings; Fuzzy control; Matrix decomposition; Nonlinear control systems; Particle swarm optimization; Process control; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.655
  • Filename
    4344770