Cyclic Torque Imbalance Detection in Gasoline Engines Using Second Order Sliding Mode

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Engine torque imbalance is a wide-ranging problem, caused due to the variance of combustion mixture in the engine cylinder. It is desired to generate uniform output torque by the engine cylinder in successive combustion cycles. Any impediment in it causes cyclic torque imbalance which generates non-smooth output power and excessive stress in the engine components. Torque imbalance affects engine performance as it increases engine exhaust emissions and reduces fuel efficiency. In this research work, detection of cyclic torque imbalance is carried out by employing a second order sliding mode observer, based on the First Principle based Engine Model. Net piston force is treated as unknown input to torque production subsystem of the model and it is estimated using the proposed observer. Torque imbalance is simulated by varying the mass of fuel injected per cycle. Simulation results illustrated the efficacy of the proposed method to detect cyclic torque imbalance.

Original languageEnglish
Title of host publication2018 IEEE Conference on Control Technology and Applications, CCTA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1046-1051
Number of pages6
ISBN (Electronic)9781538676981
DOIs
StatePublished - 26 Oct 2018
Externally publishedYes
Event2nd IEEE Conference on Control Technology and Applications, CCTA 2018 - Copenhagen, Denmark
Duration: 21 Aug 201824 Aug 2018

Publication series

Name2018 IEEE Conference on Control Technology and Applications, CCTA 2018

Conference

Conference2nd IEEE Conference on Control Technology and Applications, CCTA 2018
Country/TerritoryDenmark
CityCopenhagen
Period21/08/1824/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Optimization
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

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