IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i2idhcseit1722291.html

Adaption of Intelligent System for Power Generation

Author

Listed:
  • Subodh Panda
  • Sangram Keshari Rath
  • Rajat Kumar Sahu
  • Jyotirmayee Nissa

Abstract

It has been observed that fuzzy PID produced an comparable or even better control performance then the traditional PID controller or fuzzy control alone. As intelligent PID is capable of learning and extracting required control rules automatically from the controller environment. The fuzzy overcome fixed gain of PID and take the support nonlinear mapping of fuzzy which make it more suitable for complex process. The theoretical study and practical application indicate that the application of intelligent PID controller in thermal power plant process monitoring and control is profitable, effective and acceptable by control engineering system This design controller used for air to fuel ratio optimisation in the combustion process of a power plant boiler and this optimization of air to fuel ratio through this controller reduce the excess air level and improve the combustion efficiency.

Suggested Citation

  • Subodh Panda & Sangram Keshari Rath & Rajat Kumar Sahu & Jyotirmayee Nissa, 2017. "Adaption of Intelligent System for Power Generation," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 888-891, April.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722291
    Note: Article URL: https://ijsrcseit.com/CSEIT1722291
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1722291
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1722291.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722291. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.