Air-fuel ratio control of lean-burn SI engines using the LPV-based fuzzy technique

Hsiu Ming Wu, Reza Tafreshi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Control of air-fuel ratio (AFR) plays a key role in the minimisation of the carbon dioxide and harmful pollutant emissions and maximisation of fuel economy. An inherent time-varying delay existing in lean-burn spark ignition (SI) engines is a major challenge for the AFR control. Herein an unstable internal dynamics with a parameter dependent system caused by time delay is established to represent a dominating feature of AFR. The proposed control scheme, LPV-based fuzzy control technique, combines the features of LPV and fuzzy control to deal with the unstable internal dynamics of an AFR system with external disturbances and a high level of uncertainty in system parameters. Based on the desired error dynamics, an LPV dynamic error consisting of the unstable state and the AFR tracking error is determined. Subsequently, the proposed fuzzy control algorithm through a look-up table is used to stabilise the LPV dynamic error. Then, the tracking error moves along the desired error dynamics towards zero. The system stability is assured via Lyapunov stability criteria. Finally, the simulation results demonstrate the effectiveness and robustness of the proposed control scheme under different operating conditions. Also, compared with the baseline controller, i.e. proportional-integral controller with Smith predictor, demonstrates its superiority.

Original languageEnglish
Article numberIET-CTA.2017.0063
JournalIET Control Theory and Applications
Volume12
Issue number10
DOIs
Publication statusPublished - 3 Jul 2018

Fingerprint

Ignition
Internal combustion engines
Engine
Fuzzy control
Air
Fuzzy Control
Unstable
Smith Predictor
Internal
Controller
Controllers
Fuzzy Algorithm
Lyapunov Stability
Look-up Table
Stability criteria
Fuel economy
Carbon Dioxide
Pollutants
Time-varying Delay
Stability Criteria

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering

Cite this

Air-fuel ratio control of lean-burn SI engines using the LPV-based fuzzy technique. / Wu, Hsiu Ming; Tafreshi, Reza.

In: IET Control Theory and Applications, Vol. 12, No. 10, IET-CTA.2017.0063, 03.07.2018.

Research output: Contribution to journalArticle

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