• DocumentCode
    2006848
  • Title

    Multi-sensors and multi-actuators based information scheduling for gas turbine networked control systems

  • Author

    Gao, Jianhua ; Liu, Yongbao ; Huang, Yingyun

  • Author_Institution
    Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China
  • fYear
    2012
  • fDate
    11-13 March 2012
  • Firstpage
    243
  • Lastpage
    247
  • Abstract
    In this paper, we mainly investigate algorithms of networked control systems with respect to a certain type of three shaft marine gas turbine. Instead of evaluating these algorithms on the gas turbine in real-life, we first construct a platform based the Truetime toolbox under the MATLAB environment and then run simulations on this platform using two mainstream algorithms, i.e. the Earliest Deadline First (EDF) algorithm, the Rate Monotonic (RM) algorithm. Our simulation results support that the EDF scheduling algorithm is able to allocate network resources more evenly than the RM algorithm, and thus it is a better candidate of the real-time scheduling algorithm for the researched gas turbine networked control system.
  • Keywords
    actuators; control engineering computing; gas turbines; marine control; mechanical engineering computing; networked control systems; real-time systems; resource allocation; sensor fusion; shafts; EDF scheduling algorithm; MATLAB environment; RM algorithm; Truetime toolbox; earliest deadline first; gas turbine networked control system; information scheduling; multiactuators; multisensors; network resource allocation; rate monotonic; real-time scheduling algorithm; shaft marine gas turbine; Mathematical model; Networked control systems; Scheduling; Scheduling algorithms; Sensors; Turbines; Gas turbine; TrueTime; information scheduling; networked control systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory (SSST), 2012 44th Southeastern Symposium on
  • Conference_Location
    Jacksonville, FL
  • ISSN
    0094-2898
  • Print_ISBN
    978-1-4577-1492-4
  • Type

    conf

  • DOI
    10.1109/SSST.2012.6195132
  • Filename
    6195132