• DocumentCode
    2111101
  • Title

    Coordination control system study based on DRNN for marine power system

  • Author

    Xie Yonghua ; Wang Keqi ; Zhang Yu

  • Author_Institution
    Northeast Forestry Univ., Harbin, China
  • fYear
    2010
  • fDate
    29-31 July 2010
  • Firstpage
    292
  • Lastpage
    295
  • Abstract
    Due to the non-linear and strong coupling characteristics of the marine steam power system, and the requirement of security and economy, boiler-turbine system coordination control is very necessary. The model of power system is identified by the diagonal recurrent network, with parameters of PI controller online self-tuned by Jacobian information, so multivariable decoupling control of boiler-turbine coordination is realized. The process simulations show that the system can achieve a good tracking performance of the drum pressure and output power over a wide operating range, while the water level in the drum is kept within tolerance, and it has a strong anti-interference ability.
  • Keywords
    Jacobian matrices; PI control; boilers; control system synthesis; hydroelectric power; marine control; multivariable control systems; nonlinear control systems; power system control; recurrent neural nets; turbines; DRNN; Jacobian information; PI controller; antiinterference ability; boiler turbine system coordination control system; diagonal recurrent neural network; drum pressure; marine steam power system; multivariable decoupling control; online self tuning; Biological system modeling; Control systems; Couplings; Electronic mail; Genetics; Power systems; Tuning; Coordination Control System; DRNN; Marine Power System; Self-tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2010 29th Chinese
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6263-6
  • Type

    conf

  • Filename
    5573569