IDEAS home Printed from https://ideas.repec.org/a/ids/ijgeni/v42y2020i5-6p339-354.html
   My bibliography  Save this article

Optimisation of energy-saving control parameters of urban underground sewage treatment pumps based on fuzzy parameter adaption

Author

Listed:
  • Ya-Zhou Xing
  • Zhong-Min Yin
  • Hao Xue
  • Na Zhang

Abstract

In order to improve energy-saving control of urban underground sewage treatment pumps, an optimisation method of energy-saving control parameters of urban underground sewage treatment pumps based on fuzzy parameter adaption is proposed. Firstly, the energy-saving control object model of an urban underground sewage pump is constructed, and the energy-saving parameters of the urban underground sewage treatment pump are adjusted using a first-order linear auto-disturbance rejection controller. Secondly, a speed observer is used to optimise the speed of the energy-saving underground sewage treatment pump. Finally, the load disturbance and parameter perturbation is optimised by constructing a high-frequency buffeting and hysteresis inhibition model. The simulation results show that the method has good adaptability, strong anti-interference ability and robustness for energy-saving control of sewage treatment pumps.

Suggested Citation

  • Ya-Zhou Xing & Zhong-Min Yin & Hao Xue & Na Zhang, 2020. "Optimisation of energy-saving control parameters of urban underground sewage treatment pumps based on fuzzy parameter adaption," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 42(5/6), pages 339-354.
    • Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:339-354
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=111183
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijgeni:v:42:y:2020:i:5/6:p:339-354. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=13 .

    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.