• DocumentCode
    2087127
  • Title

    Observer-Based Active Control of Torsional Vibration for Large Turbine-Generator Shaft System

  • Author

    Feng Liming ; Gao Wenzhi ; Tan Congmin ; Qin Hao ; Xie Bixian ; Hao, Qin

  • Author_Institution
    State Key Lab. of Engines, Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For active torsional vibration control in a turbine-generator shaft system, it is neither practical nor cost-effective to implement as many sensors as state variables. In this paper, an observer-based active control strategy is proposed to achieve an optimal control of torsional vibration on a turbine-generator shaft system. A dynamical observer is designed to estimate the system states and form a complete control system. The theoretical issues of the algorithm on observer design are discussed. Based on the theoretical design algorithm, an observer gain and a feedback control matrix are selected. In order to validate the effectiveness of the control strategy the computer analysis and experimental simulation are carried out under a cosine excitation from a 200 MW turbine-generator. The results from calculation and experiment show a robust stability and a good control effectiveness of the control system.
  • Keywords
    optimal control; shafts; turbogenerators; vibration control; control system; cosine excitation; dynamical observer; feedback control matrix; observer-based active control; power 200 MW; sensors; state variables; theoretical design algorithm; torsional vibration control; torsional vibration optimal control; turbine-generator shaft system; Algorithm design and analysis; Computational modeling; Control systems; Feedback control; Observers; Optimal control; Sensor systems; Shafts; State estimation; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448191
  • Filename
    5448191