2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) 2015
DOI: 10.1109/sice.2015.7285486
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Adaptive time delay compensation for air-fuel ratio control of a port injection SI engine

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Cited by 6 publications
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“…This real-time λ determination method ensures sufficient accuracy (errors typically do not exceed 3%) [ 9 ], while the use of the same hardware offers the additional advantage of combustion timing determination [ 10 ]. For UEGO sensors, the relatively long feedback delay problem is usually solved by various adaptive compensation algorithms incorporating Smith predictors [ 11 , 12 ] or other feed-forward/feed-back systems [ 13 ]. Furthermore, individual cylinder λ control can be realized with a single UEGO sensor located at the common exhaust runner, while signal delay is dealt with by means of simplified gas transport and mixing models [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…This real-time λ determination method ensures sufficient accuracy (errors typically do not exceed 3%) [ 9 ], while the use of the same hardware offers the additional advantage of combustion timing determination [ 10 ]. For UEGO sensors, the relatively long feedback delay problem is usually solved by various adaptive compensation algorithms incorporating Smith predictors [ 11 , 12 ] or other feed-forward/feed-back systems [ 13 ]. Furthermore, individual cylinder λ control can be realized with a single UEGO sensor located at the common exhaust runner, while signal delay is dealt with by means of simplified gas transport and mixing models [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Further, in [6, 7], an adaptive internal model control for AFR control was proposed to adapt the unknown time constant of the system plant with a time‐varying delay (that makes the AFR system a parameter dependent system), and uncertain disturbances. Recently, Khajorntraidet et al [8] proposed an adaptive algorithm with Smith predictor to estimate the time delay in port injection engines. The above studies all adopted adaptive control strategies for AFR control.…”
Section: Introductionmentioning
confidence: 99%