• DocumentCode
    3529349
  • Title

    Genetic Adaptive Control for Drum Level of a Power Plant Boiler

  • Author

    Yonghong Huang ; Nianping Li ; Yangchun Shi ; Yixun Yi

  • Author_Institution
    College of Energy & Power Engineering, Changsha University of Science & Technology, Changsha,, 410076, Hunan, China. hyh8986@yahoo.com.cn, College of Civil Engineering, Hunan University, Changsha, 410082, Hunan, China
  • fYear
    2006
  • fDate
    Oct. 2006
  • Firstpage
    1965
  • Lastpage
    1968
  • Abstract
    Adaptive control strategy is proposed to regulate the drum-level of a power plant boiler. Based on the three-element feedwater control system, recursive least squares method is used to identify the plant parameters and then genetic algorithm (GA) is applied to adjust the parameters of the controller. MATLAB simulation investigation indicates that, compared to the parameter-fixed PID system, GA-self-tuned system is able to reject endogenous and exogenous disturbances more effectively and rapidly, thus has better self-adaptation capability and robustness.
  • Keywords
    Adaptive control; Boilers; Control systems; Genetics; Parameter estimation; Power generation; Programmable control; Systems engineering and theory; Three-term control; Tuners; Adaptive control; Genetic algorithm; Parameter estimation; Power plant; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Engineering in Systems Applications, IMACS Multiconference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    7-302-13922-9
  • Electronic_ISBN
    7-900718-14-1
  • Type

    conf

  • DOI
    10.1109/CESA.2006.313635
  • Filename
    4105701