Observer Design for Downsized Gasoline Engine Control Using 1D Engine Simulation

Abstract

Résumé -Conception d'un observateur pour le contrôle d'un moteur écosuralimenté à partir d'un simulateur 1D moteur -Cette étude présente la mise au point du modèle 1D d'un moteur 2.0 l à injection directe essence équipé d'un turbocompresseur avec turbine double entrée et d'un double déphaseur d'arbre à cames et son utilisation dans la conception du contrôle moteur. Le moteur virtuel est employé pour le développement d'un observateur de masses enfermées dans les cylindres dont l'estimation constitue un enjeu majeur pour ce type de moteur à cause des forts effets de balayage dans la chambre de combustion. Après avoir réglé le modèle moteur grâce à des résultats de banc d'essais moteur, celui-ci permet de reproduire fidèlement les phénomènes de première importance pour le contrôle moteur tels que la modification du remplissage et de la combustion par le croisement de soupapes. Ces performances permettent de s'appuyer fortement sur le moteur virtuel pour développer plus efficacement l'observateur/contrôleur de masses enfermées et réaliser un premier niveau de validation. L'objectif de cet article est de démontrer que la simulation système moteur est un élément incontournable pour la chaîne de conception du contrôle moteur, du développement à la validation dans un environnement temps réel. Abstract -Observer Design for Downsized Gasoline Engine Control Using 1D Engine SimulationThis study presents the use of a 1D engine model for the control design of a twin-scroll turbocharged gasoline direct injection 2.0 l i4 engine with twin camphaser. This virtual engine is used for the development of the in-cylinder mass observer which is a crucial issue for the control of such an engine

Transient Performance of Gas-Engine-Based Power System on Ships: An Overview of Modeling, Optimization, and Applications

“…Similar to the 1D detailed model, GT-Power provides the mean value function to achieve fast calculation to show the dynamic phenomenon of the power system covering combustion engines [124,213,[216][217][218]. Also, it has been implemented in AMESim [219] and other platforms [220,221].…”

“…Such models are not limited to the physical-based simulation tools, simulation software such as MATLAB/Simulink and Python have been used to build the systems. Also, it has been implemented in AMESim [219] and other platforms [220,221]. When establishing the underlying description of the mean value models (MVM), combustion engine mechanisms lead to the nonlinear feature for the physical-based models.…”

Investigation on the Performance Enhancement and Emission Reduction of a Biodiesel Fueled Diesel Engine Based on an Improved Entire Diesel Engine Simulation Model

“…Other scholars carried out the modeling and made the analysis of four main factors that could impact the performance and emission characteristics of a diesel engine, including the first and second injection mass ratio, interval time, main injection start time, and exhaust gas recirculation (EGR) ratio [31][32][33][34]. The one-dimensional models are simpler, faster, and include more detailed physical models [35]. In general, more advanced models such as combustion, heat transfer, and pollutant formation processes should be employed to simulate and improve the accuracy of the calculation [36].…”

Effect Analysis on the Performance Enhancement and Emission Reduction of Diesel Engine Fueled with Biodiesel Fuel Based on an Improved Model

“…In addition, other scholars had carried out the modeling and made the analysis of four main factors which could impact the performance and emission characteristics of diesel engine, including the first and the second injection mass ratio [40], interval time [41], main injection start time [42], and exhaust gas recirculation (EGR) ratio [43]. However, the one-dimensional models are simpler, faster and included more detailed physical models [44]. Therefore, more advanced models should be adopted, including simulations of combustion, heat transfer and pollutant formation processes [45].…”