Author: Nassim KhaledPublisher:
ISBN:
Category :
Languages : en
Pages : 9
Book Description
Multivariable Control of Dual Loop EGR Diesel Engine with a Variable Geometry Turbo
Author: Nassim KhaledPractical Design and Application of Model Predictive Control
Author: Nassim KhaledPublisher: Butterworth-Heinemann
ISBN: 0128139196
Category : Technology & Engineering
Languages : en
Pages : 264
Book Description
Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using MATLAB® and Simulink®. This reference is one of the most detailed publications on how to design and tune MPC controllers. Examples presented range from double-Mass spring system, ship heading and speed control, robustness analysis through Monte-Carlo simulations, photovoltaic optimal control, and energy management of power-split and air-handling control. Readers will also learn how to embed the designed MPC controller in a real-time platform such as Arduino®. The selected problems are nonlinear and challenging, and thus serve as an excellent experimental, dynamic system to show the reader the capability of MPC. The step-by-step solutions of the problems are thoroughly documented to allow the reader to easily replicate the results. Furthermore, the MATLAB® and Simulink® codes for the solutions are available for free download. Readers can connect with the authors through the dedicated website which includes additional free resources at www.practicalmpc.com. Illustrates how to design, tune and deploy MPC for projects in a quick manner Demonstrates a variety of applications that are solved using MATLAB® and Simulink® Bridges the gap in providing a number of realistic problems with very hands-on training Provides MATLAB® and Simulink® code solutions. This includes nonlinear plant models that the reader can use for other projects and research work Presents application problems with solutions to help reinforce the information learned
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.
Intelligent Manufacturing and Energy Sustainability
Author: A.N.R. ReddyPublisher: Springer Nature
ISBN: 9813344431
Category : Technology & Engineering
Languages : en
Pages : 775
Book Description
This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.
Optimization and Control of a Dual-loop EGR System in a Modern Diesel Engine
Author: Yunfan ZhangNonlinear Modelling and Control of Turbocharged Diesel Engines
Author: Alexandros PlianosModeling 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.
Optimization of Dual Loop EGR of a V6 3.0 Liter Diesel Engine for CO2 Reduction
Author: Haewook LeeA Variable-geometry Turbocharger Control System for High Output Diesel Engines
Author: N. WatsonPublisher:
ISBN:
Category : Diesel motor
Languages : en
Pages : 16
Book Description
Coordinated Control of the Turbo Electrically Assisted Variable Geometry Turbocharged Diesel Engine with Exhaust Gas Recirculation
Author: Bradley C. GlennPublisher:
ISBN:
Category : Automobiles
Languages : en
Pages :
Book Description
Abstract: This work investigates the improvements in NOx emissions for a variable geometry turbo (VGT) charged diesel engine with exhaust gas recirculation (EGR) when electric assist is applied to the turbo-compressor. The method relies on selecting a fixed air to fuel ratio (AFR) above the no visible smoke limit that and regulating to that AFR. Simulated NOx emission results for the electrically assisted VGT engine w/ no EGR are first compared to a conventional VGT-EGR diesel engine. Then EGR control is added to the electrically assisted system and its influence on the electric assist system is studied. The control problem related to the complex gas exchange process in a Variable Geometry Turbocharged (VGT) diesel engine with Exhaust Gas Recirculation (EGR) has been proposed. The underlying assumptions regarding the sensor set to be used, however, are often not aligned with production intent goals for industrial applications. One such assumption is the availability of an exhaust gas pressure sensor. The exhaust gas pressure measurement is essential for the prediction of the flow rates over the EGR valve and the VGT vane. Additionally assumptions are often made regarding the availability of the air mass fraction in the intake and/or exhaust gas mixtures through a wide band oxygen sensor, commercially known as the Universal Exhaust Gas Oxygen (UEGO) sensor. While the appropriate sensors do exist, cost and reliability issues often force engine manufacturers and OEM's to preclude one or more of these sensors from the production intent sensor set. It therefore becomes essential to find alternate means of predicting these state variables and control inputs. In order to circumvent the assumption that all the state variables and control inputs are available, observers for the exhaust manifold pressure and the air mass fractions in the in the intake, and exhaust manifolds are proposed. A mean value diesel engine model is used and the performance of the observers is validated against data from a 2.4L Fiat VGT-EGR diesel engine.