2020
DOI: 10.1177/1468087420929109
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Learning reference governor for cycle-to-cycle combustion control with misfire avoidance in spark-ignition engines at high exhaust gas recirculation–diluted conditions

Abstract: Cycle-to-cycle feedback control is employed to achieve optimal combustion phasing while maintaining high levels of exhaust gas recirculation by adjusting the spark advance and the exhaust gas recirculation valve position. The control development is based on a control-oriented model that captures the effects of throttle position, exhaust gas recirculation valve position, and spark timing on the combustion phasing. Under the assumption that in-cylinder pressure information is available, an adaptive extended Kalm… Show more

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Cited by 20 publications
(10 citation statements)
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“…MVMs provide a good approach for calculating combustion torque. To investigate other combustion properties such as CA50, IMEP, residual gas temperature, etc., an MVM can be integrated with other modeling methodologies, such as chemical reaction 62 and/or empirical equations 9,11 to capture interested combustion phenomena such as cyclic variations, 11 misfire detections, 9 and NOx emissions. 62 On the other hand, it was not limited to studying the engine performance itself but can also be integrated with other subsystem models to form an vehicle level model for investigating vehicle performance such as acceleration and adaptive cruise control.…”
Section: Applications Of Mvmsmentioning
confidence: 99%
See 1 more Smart Citation
“…MVMs provide a good approach for calculating combustion torque. To investigate other combustion properties such as CA50, IMEP, residual gas temperature, etc., an MVM can be integrated with other modeling methodologies, such as chemical reaction 62 and/or empirical equations 9,11 to capture interested combustion phenomena such as cyclic variations, 11 misfire detections, 9 and NOx emissions. 62 On the other hand, it was not limited to studying the engine performance itself but can also be integrated with other subsystem models to form an vehicle level model for investigating vehicle performance such as acceleration and adaptive cruise control.…”
Section: Applications Of Mvmsmentioning
confidence: 99%
“…can be obtained based on certain assumptions. Some typical methods, such as polynomial assumption, 8,9 Gaussian correlation, 10,11 or low order parameterized function, 12 are presented, respectively, in the modeling literature. Note that the black box model is cheap to evaluate and widely used in machine learning 9 recently.…”
Section: Introductionmentioning
confidence: 99%
“…Although previous research has focused on the estimation of such a limit in order to use feedback control to minimize fuel consumption, complete avoidance of misfires and partial burns remains an open problem. 7,8 The cycle-to-cycle variations that occur at the dilute limit have been shown to combine stochastic (or unobservable) variations such as turbulence and local mixture inhomogeneity at the spark plug with deterministic effects caused by the cycle-to-cycle coupling of initial composition through residual gases. [9][10][11] The extension of the ignition limit can thus be accomplished by predictive control strategies that anticipate such events and perform corrective control commands before partial burns and misfires occur.…”
Section: Introductionmentioning
confidence: 99%
“…Components of this system are used in many areas of internal combustion engine operation. These include misfire monitoring [1,2], diesel particulate filter monitoring [3][4][5][6], catalyst monitoring [7,8], fuel system monitoring [9,10], and EGR system monitoring [11][12][13]. The common features of these systems are that they supervise the operation of the electronic control systems, and that their operation aims to control engine operation in order to meet ecological requirements.…”
Section: Introductionmentioning
confidence: 99%