IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2028398.html
   My bibliography  Save this article

Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer

Author

Listed:
  • Jun Yang
  • Jian Wang
  • Xuesheng Zhou
  • Yanxiao Li

Abstract

In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L 2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable. A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions. The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines.

Suggested Citation

  • Jun Yang & Jian Wang & Xuesheng Zhou & Yanxiao Li, 2020. "Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-8, March.
  • Handle: RePEc:hin:jnlmpe:2028398
    DOI: 10.1155/2020/2028398
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/2028398.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/2028398.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/2028398?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:hin:jnlmpe:2028398. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.