2008
DOI: 10.1109/tcst.2007.916323
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Input Observer-Based Individual Cylinder Air-Fuel Ratio Control: Modelling, Design and Validation

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Cited by 37 publications
(16 citation statements)
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“…The combusted gas of each cylinder is discharged into the corresponding exhaust port and flows to the exhaust confluence point in the exhaust manifold, in which we assume that exhaust gas mixing in the individual exhaust runner can be neglected. Hence, the AFR in the exhaust runner is constant during one engine cycle, and the AFR at the exhaust confluence point in the th engine cycle can be given by [15] (…”
Section: Journal Of Sensorsmentioning
confidence: 99%
See 1 more Smart Citation
“…The combusted gas of each cylinder is discharged into the corresponding exhaust port and flows to the exhaust confluence point in the exhaust manifold, in which we assume that exhaust gas mixing in the individual exhaust runner can be neglected. Hence, the AFR in the exhaust runner is constant during one engine cycle, and the AFR at the exhaust confluence point in the th engine cycle can be given by [15] (…”
Section: Journal Of Sensorsmentioning
confidence: 99%
“…In the diesel engines, a nonlinear observer is proposed to estimate the individual cylinder AFR [14]. In [15], a PI compensator is designed to compensate the cylinder-by-cylinder variations, in which an input observer is proposed to estimate individual cylinder AFR.…”
Section: Introductionmentioning
confidence: 99%
“…Each cross-hair in the plot represents one measurement. The slope of the diagonal solid line is the robustness margin a whose value of 1 was determined before analytically using (10). Clearly, the error for the different imbalance patterns remains below the limiting line.…”
Section: Test Case -Five-cylinder Enginementioning
confidence: 99%
“…The control problem for the air-fuel ratio in a spark ignition engine has been a challenging topic in recent years [1][2][3][4]. A crucial factor for the control of the air-fuel ratio is the new air charge, which can be directly estimated by a common mean-value model [5,6].…”
Section: Introductionmentioning
confidence: 99%