Fast model predictive control for the air path of a turbocharged diesel engine

Drews, P.; Hoffmann, Kai; Beck, Ralf; Gasper, Rainer; Vanegas, A.; Felsch, C.; Peters, N.; Abel, Dirk

doi:10.23919/ecc.2009.7074927

Cited by 15 publications

(10 citation statements)

References 9 publications

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“…Because of this, the overall goal of this research project (carried out within the Collaborative Research Centre 'SFB 686 -Modellbasierte Regelung der homogenisierten Niedertemperatur-Verbrennung' at RWTH Aachen University, Germany, and Bielefeld University, Germany [62]) is to develop, not only a controller for the PCCI combustion process, but also an additional controller enabling the fastest possible changes in external EGR rate by simultaneously adjusting EGR valve and VGT position [63]. This controller, in combination with its actuated variables EGR valve and VGT position, will serve as the virtual actor for the external EGR rate.…”

Section: Discussionmentioning

confidence: 99%

Combustion model reduction for diesel engine control design

Felsch

Hoffmann

Vanegas

et al. 2009

International Journal of Engine Research

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The subject of this work is the derivation of a simulation model for premixed charge compression ignition (PCCI) combustion that can be used in closed-loop control development. For the high-pressure part of the engine cycle, a detailed three-dimensional computational fluid dynamics model is reduced to a stand-alone multi-zone chemistry model. This multi-zone chemistry model is extended by a mean value model accounting for the gas exchange losses. The resulting model is capable of describing PCCI combustion with stationary exactness, and is at the same time very economic with respect to computational costs. The model is further extended by the identified system dynamics that influence the stationary inputs. For this purporse, a Wiener model is set up that uses the stationary model as a non-linear system representation. In this way, a dynamic non-linear model for the representation of the controlled plant diesel engine is created.

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Section: Discussionmentioning

confidence: 99%

Combustion model reduction for diesel engine control design

Felsch

Hoffmann

Vanegas

et al. 2009

International Journal of Engine Research

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“…For single-stage turbocharging devices, a variety of control concepts have been developed. The control techniques were applied in various set-ups for single-stage turbocharged diesel engines [6][7][8][9][10], as well as for different gasoline engine set-ups [11][12][13][14][15]. In the case of two-stage turbocharging, less research has been conducted so far.…”

Section: Related Workmentioning

confidence: 99%

Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

et al. 2016

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Increasingly complex air path concepts are investigated to achieve a substantial reduction in fuel consumption while improving the vehicle dynamics. One promising technology is the two-stage turbocharging for gasoline engines, where a high pressure and a low pressure turbocharger are placed in series. For exploiting the high potential, a control concept has to be developed that allows for coordinated management of the two turbocharger stages. In this paper, the control strategy is investigated. Therefore, the effect of the actuated values on transient response and pumping losses is analyzed. Based on these findings, an optimization-based control algorithm is developed that allows taking both requirements into account. The developed new controller allows achieving a fast transient response, while at the same time reducing pumping losses in stationary operation.

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“…The engine is equipped with external exhaust gas recirculation and a turbocharger with a variable geometry turbine. The dedicated model-predictive control for the air path, which adjusts the demanded air mass flow and boost pressure, is presented in Drews et al (2009). According to the statements made in subsection 2.1, to enhance the PCCI mode, the original compression ratio ǫ = 17.5 is lowered to ǫ = 15, similar to the approach presented in Kim and Lee (2007).…”

Section: Measurement Of the Pcci Processmentioning

confidence: 99%