• DocumentCode
    264964
  • Title

    Fractional IMC design for fractional order gas turbine model

  • Author

    Sondhi, Swati ; Hote, Yogesh V.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Roorkee, Roorkee, India
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The gas turbine is an extremely important component for the automotive and aviation industry. It works by converting the energy obtained by fuel combustion into some form of mechanical power. Therefore, controlling the input fuel going to the turbine is an important aspect of the gas turbine system. Therefore, an efficient controller design is required which can control the rate of the fuel being fed to the turbine. It is observed that the Internal Model Control (EVIC) based controller design scheme is quite popular due to its robust performance and mathematical simplicity. This type of controllers are very successfully being used in integer order systems. However, it is seen that the system behavior represented by the fractional order mathematical model is more close to the real life dynamics, especially for large complicated systems. Therefore, in this paper a fractional order model of the gas turbine plant is considered and a fractional order EVIC controller is designed. It is observed that the controller designed using the proposed technique gives better results than the other fractional EVIC controllers available in the literature. The performance of the proposed controller is compared to the existing fractional order EVIC techniques using the integral error criterion.
  • Keywords
    control system synthesis; gas turbines; automotive industry; aviation industry; controller design; fractional IMC design; fractional order EVIC controller; fractional order gas turbine model; fuel combustion; gas turbine system; integral error criterion; internal model control; mechanical power; Biological system modeling; Combustion; Fuels; Mathematical model; Process control; Robustness; Turbines; Fractional Order Systems; Gas Turbine; Internal Model Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2014 9th International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4799-6499-4
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2014.7036585
  • Filename
    7036585