Real-time Adaptive Predictive Control of the Diesel Engine Air-path Based on Fuzzy Parameters Estimation

Plianos, Alexandros; Stobart, Richard; Achir, A.

doi:10.4271/2007-01-0971

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…The comparison between a PID controller and a neural network controller is provided by Tsuchiya et al (2003). A fuzzy logic controller for diesel engines is reported by Plianos et al (2007). Robust control for marine diesel engines is summarized by Xiros (2002).…”

Section: Engine Controller Designmentioning

confidence: 99%

Diesel engine system dynamics, transient performance, and electronic controls

Xin¹

2013

Diesel Engine System Design

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Section: Engine Controller Designmentioning

confidence: 99%

Diesel engine system dynamics, transient performance, and electronic controls

Xin¹

2013

Diesel Engine System Design

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“…In [8], a non-linear coordinate transformation to a dimensionless model of a VGT is proposed for a single loop EGR to estimate the exhaust pressure. However, the VGT mass flow is usually approximated by a modified version of the orifice equation or a coordinate transformation (see [7] - [9]) where the effect of the turbo speed is neglected. The problem of estimating the exhaust pressure using directly the extrapolated turbine data-maps [10] [11] and taking into account the effect of the turbine speed on the turbine mass flow rate has not been found in the literature.…”

Section: Introductionmentioning

confidence: 99%

Exhaust Manifold Pressure Estimation Diesel Equipped with a VGT Turbocharger

Castillo¹,

Witrant²,

Dugard³

et al. 2013

SAE Technical Paper Series

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This paper develops an exhaust manifold pressure estimation method for a Diesel engine equipped with a variable geometry turbine (VGT) turbocharger. Extrapolated VGT data-maps are used directly for the estimation of the exhaust pressure using a noniterative Newton-Raphson based method suitable for real-time applications. This approach can give more accurate estimations than traditional methods because it takes into account the turbine speed effect on the turbine mass flow rate. All this without increasing the calculation load significantly. The proposed exhaust manifold estimation can be used to relieve the exhaust manifold pressure physical sensor during engine operating conditions where its reliability is low. The estimator is evaluated in transient with two different engine cycles using a engine model validated in a benchmark as a reference.

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“…Compared with linear quadratic regulators (LQR) that typically optimize the system performance around a given initial state, MPC optimizes at each time step, and results in higher flexibility in dealing with the constraints on inputs, outputs, and states. Several types of MPC methods including generalized predictive control (GPC) [24], nonlinear MPC (NMPC) [7], [25], [26], and adaptive predictive control [27] have been applied in the engine control field. However, the real-time implementation of MPC brings a high computation burden, due to a finite horizon optimal control problem that is solved in each sampling period [28].…”

Section: Index Terms-explicitmentioning

confidence: 99%