Combined mean value engine model and crank angle resolved in-cylinder modeling with NOx emissions model for real-time Diesel engine simulations at high engine speed

Maroteaux, Fadila; Saad, Charbel

doi:10.1016/j.energy.2015.05.072

Cited by 49 publications

(16 citation statements)

References 21 publications

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“…For these purposes, the controller and the observer designs are based on an isothermal mean value engine model (MVEM) developed in the works by [14,15]. This model is well accepted as still it is reported in the recent literature [16,17]. It is well known that this model is control oriented and so neglects discrete cycles of the engine and assumes that all processes and effects are spread out over the engine cycle.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Robust Control of the Air to Fuel Ratio in Spark Ignition Engines with Delayed Measurements from a UEGO Sensor

Espinoza-Jurado

Dávila

Rivera

et al. 2015

Mathematical Problems in Engineering

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A precise control of the normalized air to fuel ratio in spark ignition engines is an essential task. To achieve this goal, in this work we take into consideration the time delay measurement presented by the universal exhaust gas oxygen sensor along with uncertainties in the volumetric efficiency. For that purpose, observers are designed by means of a super-twisting sliding mode estimation scheme. Also two control schemes based on a general nonlinear model and a similar nonlinear affine representation for the dynamics of the normalized air to fuel ratio were designed in this work by using the super-twisting sliding mode methodology. Such dynamics depends on the control input, that is, the injected fuel mass flow, its time derivative, and its reciprocal. The two latter terms are estimated by means of a robust sliding mode differentiator. The observers and controllers are designed based on an isothermal mean value engine model. Numeric and hardware in the loop simulations were carried out with such model, where parameters were taken from a real engine. The obtained results show a good output tracking and rejection of disturbances when the engine is closed loop with proposed control methods.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Robust Control of the Air to Fuel Ratio in Spark Ignition Engines with Delayed Measurements from a UEGO Sensor

Espinoza-Jurado

Dávila

Rivera

et al. 2015

Mathematical Problems in Engineering

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“…The SVM is the most appropriate method for obtaining the prediction model of a stochastic system from a small A good number of research activities have been conducted and have proposed a variety of ways for predicting NO x emissions [16][17][18][19]. A study [20] used artificial neural networks to build a prediction model for CO 2 , soot, and NO x .…”

Section: Experimental Setup and Methodsmentioning

confidence: 99%

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

Liu

Yan

et al. 2016

Sustainability

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Abstract:The objective of the study is to present the modeling and multi-objective optimization of NO x conversion efficiency and NH 3 slip in the Selective Catalytic Reduction (SCR) catalytic converter for a diesel engine. A novel ensemble method based on a support vector machine (SVM) and genetic algorithm (GA) is proposed to establish the models for the prediction of upstream and downstream NO x emissions and NH 3 slip. The data for modeling were collected from a steady-state diesel engine bench calibration test. After obtaining the two conflicting objective functions concerned in this study, the non-dominated sorting genetic algorithm (NSGA-II) was implemented to solve the multi-objective optimization problem of maximizing NO x conversion efficiency while minimizing NH 3 slip under certain operating points. The optimized SVM models showed great accuracy for the estimation of actual outputs with the Root Mean Squared Error (RMSE) of upstream and downstream NO x emissions and NH 3 slip being 44.01ˆ10´6, 21.87ˆ10´6 and 2.22ˆ10´6, respectively. The multi-objective optimization and subsequent decisions for optimal performance have also been presented.

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“…In references [3][4][5], the authors built a semi-empirical model for the prediction of NO X emissions for a diesel engine, which combined the physical and chemical parameters related to the formation of NO X . In a study [6], the NO X emissions mechanism model was built for real-time diesel engine simulations at high engine speed, based on the Zeldovich extended mechanism, which combined crank angle and mean value engine model. In references [4,7], the authors developed a highly compact NO X model based on a single global reaction where the combustion and emissions were treated as quasi-static processes.…”

Section: Introductionmentioning

confidence: 99%

A novel optimal support vector machine ensemble model for NOX emissions prediction of a diesel engine

Liu

Yan

et al. 2016

Measurement

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Combined mean value engine model and crank angle resolved in-cylinder modeling with NOx emissions model for real-time Diesel engine simulations at high engine speed

Cited by 49 publications

References 21 publications

Robust Control of the Air to Fuel Ratio in Spark Ignition Engines with Delayed Measurements from a UEGO Sensor

Robust Control of the Air to Fuel Ratio in Spark Ignition Engines with Delayed Measurements from a UEGO Sensor

Modeling and Multi-Objective Optimization of NOx Conversion Efficiency and NH3 Slip for a Diesel Engine

A novel optimal support vector machine ensemble model for NOX emissions prediction of a diesel engine

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