2012
DOI: 10.1080/00207179.2012.654824
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A model-based gain scheduling approach for controlling the common-rail system for GDI engines

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Cited by 12 publications
(7 citation statements)
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“…With respect to control strategy, a model reference adaptive control algorithm based on the mean value model is proposed to reduce the residual pressure in the fuel rail [9]. In [10, 12], the control strategy is composed by a feedback integral action and a static model‐based feed‐forward action whose gains are scheduled as a function of fundamental plant parameters. In addition, in order to deal with the parameter variations because of uncertainties and disturbance, an active disturbance rejection control [13] and a discrete‐time integral minimal control [14] are recently presented.…”
Section: Introductionmentioning
confidence: 99%
“…With respect to control strategy, a model reference adaptive control algorithm based on the mean value model is proposed to reduce the residual pressure in the fuel rail [9]. In [10, 12], the control strategy is composed by a feedback integral action and a static model‐based feed‐forward action whose gains are scheduled as a function of fundamental plant parameters. In addition, in order to deal with the parameter variations because of uncertainties and disturbance, an active disturbance rejection control [13] and a discrete‐time integral minimal control [14] are recently presented.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we exercise a mathematical model describing the pressure dynamics in the common rail (CR) rail that is projected and experimentally validated in di Gaeta et al (2009Gaeta et al ( , 2011Gaeta et al ( , 2012). This mathematical model depicts the electrical dynamics of the EFI (fluidical valve), ignoring the effects owing to the movement of its plunger (i.e.…”
Section: Mathematical Model Of the Pressure Dynamicsmentioning
confidence: 99%
“…The new idea is to combine the potentialities of robust FOPI controllers with a scheduling strategy, as it is usually made by combining standard integer order PI controllers with a scheduling policy [30], [4]. Scheduling the controller parameters takes into account the different CNG engine working conditions for fuel injection, i.e.…”
Section: Control Strategymentioning
confidence: 99%
“…In this way, maps of controller gains are built for the different equilibrium points. This kind of strategy is common in many automotive applications [4], [23].…”
Section: Control Strategymentioning
confidence: 99%