Author: Yunfan ZhangPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Optimization and Control of a Dual-loop EGR System in a Modern Diesel Engine
Optimization of Diesel Engine with Dual-Loop EGR by Using DOE Method
Author: Jungsoo ParkPublisher:
ISBN:
Category : Technology
Languages : en
Pages :
Book Description
Optimization of Diesel Engine with Dual-Loop EGR by Using DOE Method.
Optimization of Dual Loop EGR of a V6 3.0 Liter Diesel Engine for CO2 Reduction
Author: Haewook LeeClosed Loop Feedback Control of a Heavy-duty Diesel Engine for Emissions Reduction
Author: James K. Von der EhePublisher:
ISBN:
Category :
Languages : en
Pages : 354
Book Description
A Robust Control Approach on Diesel Engines with Dual-loop Exhaust Gas Recirculation Systems
Author: Benjamin HaberPublisher:
ISBN:
Category :
Languages : en
Pages : 89
Book Description
Chapter 1 explores the benefits when operating in advanced combustion modes and potentials for expanding their operating range with the use of the proposed complex air-path system. A linear state-space representation of the air-path system is then identified in Chapter 2 using the GT-Power model which serves as the basis for developing a MIMO feedback controller. The performance of the MIMO feedback controller, and its coupling with a feed-forward controller, are then developed and validated through the GT-Power engine simulation in Chapter 3. Finally, in Chapter 4, a decentralized feedback controller is made which relies on much more basic principles of multivariable control and is compared to the MIMO feedback controller to examine the benefits of using advanced controller development strategies. Concluding remarks and future work are then given in Chapter 5.
Modeling and Control of EGR on Marine Two-Stroke Diesel Engines
Author: Xavier LlamasPublisher: Linköping University Electronic Press
ISBN: 9176853683
Category :
Languages : en
Pages : 48
Book Description
The international marine shipping industry is responsible for the transport of around 90% of the total world trade. Low-speed two-stroke diesel engines usually propel the largest trading ships. This engine type choice is mainly motivated by its high fuel efficiency and the capacity to burn cheap low-quality fuels. To reduce the marine freight impact on the environment, the International Maritime Organization (IMO) has introduced stricter limits on the engine pollutant emissions. One of these new restrictions, named Tier III, sets the maximum NOx emissions permitted. New emission reduction technologies have to be developed to fulfill the Tier III limits on two-stroke engines since adjusting the engine combustion alone is not sufficient. There are several promising technologies to achieve the required NOx reductions, Exhaust Gas Recirculation (EGR) is one of them. For automotive applications, EGR is a mature technology, and many of the research findings can be used directly in marine applications. However, there are some differences in marine two-stroke engines, which require further development to apply and control EGR. The number of available engines for testing EGR controllers on ships and test beds is low due to the recent introduction of EGR. Hence, engine simulation models are a good alternative for developing controllers, and many different engine loading scenarios can be simulated without the high costs of running real engine tests. The primary focus of this thesis is the development and validation of models for two-stroke marine engines with EGR. The modeling follows a Mean Value Engine Model (MVEM) approach, which has a low computational complexity and permits faster than real-time simulations suitable for controller testing. A parameterization process that deals with the low measurement data availability, compared to the available data on automotive engines, is also investigated and described. As a result, the proposed model is parameterized to two different two-stroke engines showing a good agreement with the measurements in both stationary and dynamic conditions. Several engine components have been developed. One of these is a new analytic in-cylinder pressure model that captures the influence of the injection and exhaust valve timings without increasing the simulation time. A new compressor model that can extrapolate to low speeds and pressure ratios in a physically sound way is also described. This compressor model is a requirement to be able to simulate low engine loads. Moreover, a novel parameterization algorithm is shown to handle well the model nonlinearities and to obtain a good model agreement with a large number of tested compressor maps. Furthermore, the engine model is complemented with dynamic models for ship and propeller to be able to simulate transient sailing scenarios, where good EGR controller performance is crucial. The model is used to identify the low load area as the most challenging for the controller performance, due to the slower engine air path dynamics. Further low load simulations indicate that sensor bias can be problematic and lead to an undesired black smoke formation, while errors in the parameters of the controller flow estimators are not as critical. This result is valuable because for a newly built engine a proper sensor setup is more straightforward to verify than to get the right parameters for the flow estimators.
Multivariable Control of Dual Loop EGR Diesel Engine with a Variable Geometry Turbo
Author: Nassim KhaledOptimization Methods for the Mixture Formation and Combustion Process in Diesel Engines
Author: Jost WeberPublisher: Cuvillier Verlag
ISBN: 3867277249
Category : Dieselmotor - Gemischbildung - Verbrennung - Numerische Strömungssimulation - Flamelet-Modell - Genetischer Algorithmus
Languages : en
Pages : 265
Book Description
Introduction to Modeling and Control of Internal Combustion Engine Systems
Author: Lino GuzzellaPublisher: Springer Science & Business Media
ISBN: 3662080036
Category : Technology & Engineering
Languages : en
Pages : 303
Book Description
Internal combustion engines still have a potential for substantial improvements, particularly with regard to fuel efficiency and environmental compatibility. These goals can be achieved with help of control systems. Modeling and Control of Internal Combustion Engines (ICE) addresses these issues by offering an introduction to cost-effective model-based control system design for ICE. The primary emphasis is put on the ICE and its auxiliary devices. Mathematical models for these processes are developed in the text and selected feedforward and feedback control problems are discussed. The appendix contains a summary of the most important controller analysis and design methods, and a case study that analyzes a simplified idle-speed control problem. The book is written for students interested in the design of classical and novel ICE control systems.
Modeling, Estimation and Control of Integrated Diesel Engine and Aftertreatment Systems
Author: Pingen ChenPublisher:
ISBN:
Category :
Languages : en
Pages : 290
Book Description
The application of modern Diesel engines in automotive industry has been widely recognized for reasons of their distinguished performances on fuel economy, durability, and reliability. Meanwhile, NOx and particulate matters (PM) emissions have been the main concerns in the evolution of Diesel engines as more and more stringent emission standards have been legislated against Diesel engine emissions worldwide. In addition, as the Greenhouse gas emissions are receiving more and more concerns due to global warming issues, the demand of fuel economy improvement is increasing significantly. The objective of this research is to develop systematic control methodologies, based on fundamental insight into the system characteristics, to improve the overall fuel economy and emission performance of integrated Diesel engine and aftertreatment systems. The test platform of this research is a medium-duty Diesel engine equipped with high-pressure common-rail fuel injection system, dual-loop exhaust gas recirculation systems, variable geometry turbocharger system, and an integrated aftertreatment system including a Diesel oxidation catalyst (DOC), Diesel particulate filter (DPF), and two-catalyst selective catalytic reduction (SCR) system. The topics of this research fall into two groups. The first group focuses on the modeling, estimation, and control of integrated aftertreatment systems based on the interactions between the subsystems with the objective of maintaining low tailpipe emissions at low cost. Topics covered in this group include the modeling and observer-based estimations for oxygen concentration and thermal behaviors across the DOC and DPF, state estimator design for SCR system using production NOx sensor measurements, and the active NO/NO2 ratio controller design for DOC and DPF to improve the SCR performance. The second group mainly concentrates on the modeling, estimation, and control of integrated engine-aftertreatment systems grounded on the interactions between engine and aftertreatment systems to simultaneously maintain high fuel efficiency and low tailpipe emissions. Topics contained in this group include the air-fraction modeling and estimation for Diesel engines coupled with aftertreatment systems during normal operations and active DPF regenerations, control-oriented thermal model for integrated Diesel engine and aftertreatment system active thermal management, and integrated Diesel engine and aftertreatment active NOx emissions control for fuel economy improvement. The control-oriented models, observers, and controllers of integrated Diesel engine and aftertreatment systems proposed in this research, when applied in automotive fields, have potentials of improving the engine fuel efficiency, reliability, and reducing tailpipe emissions in systematic, real-time, and cost-effective manners.