Simple adaptive air-fuel ratio control of a port injection SI engine with a cylinder pressure sensor

Chanyut Khajorntraidet, Kazuhisa Ito

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The problem of air-fuel ratio (AFR) control of the port injection spark ignition (SI) engine is still of considerable importance because of stringent demands on emission control. In this paper, the static AFR calculation model based on in-cylinder pressure data and on the adaptive AFR control strategy is presented. The model utilises the intake manifold pressure, engine speed, total heat release, and the rapid burn angle, as input variables for the AFR computation. The combustion parameters, total heat release, and rapid burn angle, are calculated from in-cylinder pressure data. This proposed AFR model can be applied to the virtual lambda sensor for the feedback control system. In practical applications, simple adaptive control (SAC) is applied in conjunction with the AFR model for port-injected fuel control. The experimental results show that the proposed model can estimate the AFR, and the accuracy of the estimated value is applicable to the feedback control system. Additionally, the adaptive controller with the AFR model can be applied to regulate the AFR of the port injection SI engine.

Original languageEnglish
Pages (from-to)141-150
Number of pages10
JournalControl Theory and Technology
Volume13
Issue number2
DOIs
Publication statusPublished - 2015 May 22

Fingerprint

Pressure sensors
Engine cylinders
Internal combustion engines
Air
Feedback control
Enthalpy
Control systems
Emission control
Engines

Keywords

  • air-fuel ratio estimation and control
  • in-cylinder pressure
  • simple adaptive control
  • Spark ignition engine

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Aerospace Engineering
  • Control and Optimization

Cite this

Simple adaptive air-fuel ratio control of a port injection SI engine with a cylinder pressure sensor. / Khajorntraidet, Chanyut; Ito, Kazuhisa.

In: Control Theory and Technology, Vol. 13, No. 2, 22.05.2015, p. 141-150.

Research output: Contribution to journalArticle

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