Non Linear Model Based Predictive Control Of A Low Temperature Gasoline Combustion Engine
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Nonlinear Model Predictive Control of Combustion Engines
| Author | : Thivaharan Albin Rajasingham |
| Publisher | : Springer Nature |
| Total Pages | : 330 |
| Release | : 2021-04-27 |
| Genre | : Technology & Engineering |
| ISBN | : 303068010X |
This book provides an overview of the nonlinear model predictive control (NMPC) concept for application to innovative combustion engines. Readers can use this book to become more expert in advanced combustion engine control and to develop and implement their own NMPC algorithms to solve challenging control tasks in the field. The significance of the advantages and relevancy for practice is demonstrated by real-world engine and vehicle application examples. The author provides an overview of fundamental engine control systems, and addresses emerging control problems, showing how they can be solved with NMPC. The implementation of NMPC involves various development steps, including: • reduced-order modeling of the process; • analysis of system dynamics; • formulation of the optimization problem; and • real-time feasible numerical solution of the optimization problem. Readers will see the entire process of these steps, from the fundamentals to several innovative applications. The application examples highlight the actual difficulties and advantages when implementing NMPC for engine control applications. Nonlinear Model Predictive Control of Combustion Engines targets engineers and researchers in academia and industry working in the field of engine control. The book is laid out in a structured and easy-to-read manner, supported by code examples in MATLAB®/Simulink®, thus expanding its readership to students and academics who would like to understand the fundamental concepts of NMPC. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Introduction to Modeling and Control of Internal Combustion Engine Systems
| Author | : Lino Guzzella |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 303 |
| Release | : 2013-03-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3662080036 |
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.
Advanced Combustion for Sustainable Transport
| Author | : Avinash Kumar Agarwal |
| Publisher | : Springer Nature |
| Total Pages | : 367 |
| Release | : 2021-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9811684189 |
This book is based on advanced combustion technologies currently employed in internal combustion engines. It discusses different strategies for improving conventional diesel combustion. The volume includes chapters on low-temperature combustion techniques of compression-ignition engines which results in significant reduction of NOx and soot emissions. The content also highlights newly evolved gasoline compression technology and optical techniques in advanced gasoline direct injection engines. the research and its outcomes presented here highlight advancements in combustion technologies, analysing various issues related to in-cylinder combustion, pollutant formation and alternative fuels. This book will be of interest to those in academia and industry involved in fuels, IC engines, engine combustion research.
Practical Design and Application of Model Predictive Control
| Author | : Nassim Khaled |
| Publisher | : Butterworth-Heinemann |
| Total Pages | : 264 |
| Release | : 2018-05-04 |
| Genre | : Technology & Engineering |
| ISBN | : 0128139196 |
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
Engine Modeling and Control
| Author | : Rolf Isermann |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2016-09-24 |
| Genre | : Technology & Engineering |
| ISBN | : 9783662506295 |
The increasing demands for internal combustion engines with regard to fuel consumption, emissions and driveability lead to more actuators, sensors and complex control functions. A systematic implementation of the electronic control systems requires mathematical models from basic design through simulation to calibration. The book treats physically-based as well as models based experimentally on test benches for gasoline (spark ignition) and diesel (compression ignition) engines and uses them for the design of the different control functions. The main topics are: - Development steps for engine control - Stationary and dynamic experimental modeling - Physical models of intake, combustion, mechanical system, turbocharger, exhaust, cooling, lubrication, drive train - Engine control structures, hardware, software, actuators, sensors, fuel supply, injection system, camshaft - Engine control methods, static and dynamic feedforward and feedback control, calibration and optimization, HiL, RCP, control software development - Control of gasoline engines, control of air/fuel, ignition, knock, idle, coolant, adaptive control functions - Control of diesel engines, combustion models, air flow and exhaust recirculation control, combustion-pressure-based control (HCCI), optimization of feedforward and feedback control, smoke limitation and emission control This book is an introduction to electronic engine management with many practical examples, measurements and research results. It is aimed at advanced students of electrical, mechanical, mechatronic and control engineering and at practicing engineers in the field of combustion engine and automotive engineering.
Automotive Model Predictive Control
| Author | : Luigi Del Re |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 291 |
| Release | : 2010-03-11 |
| Genre | : Technology & Engineering |
| ISBN | : 1849960704 |
Automotive control has developed over the decades from an auxiliary te- nology to a key element without which the actual performances, emission, safety and consumption targets could not be met. Accordingly, automotive control has been increasing its authority and responsibility – at the price of complexity and di?cult tuning. The progressive evolution has been mainly ledby speci?capplicationsandshorttermtargets,withthe consequencethat automotive control is to a very large extent more heuristic than systematic. Product requirements are still increasing and new challenges are coming from potentially huge markets like India and China, and against this ba- ground there is wide consensus both in the industry and academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing success since the middle of the 1980s for “slow” complex plants, in particular of the chemical and process industry. In the last decades, severaldevelopments haveallowedusing these methods also for “fast”systemsandthis hassupporteda growinginterestinitsusealsofor automotive applications, with several promising results reported. Still there is no consensus on whether model predictive control with its high requi- ments on model quality and on computational power is a sensible choice for automotive control.
Heat Transfer
| Author | : Peter Böckh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 284 |
| Release | : 2011-10-12 |
| Genre | : Science |
| ISBN | : 3642191835 |
The book provides an easy way to understand the fundamentals of heat transfer. The reader will acquire the ability to design and analyze heat exchangers. Without extensive derivation of the fundamentals, the latest correlations for heat transfer coefficients and their application are discussed. The following topics are presented - Steady state and transient heat conduction - Free and forced convection - Finned surfaces - Condensation and boiling - Radiation - Heat exchanger design - Problem-solving After introducing the basic terminology, the reader is made familiar with the different mechanisms of heat transfer. Their practical application is demonstrated in examples, which are available in the Internet as MathCad files for further use. Tables of material properties and formulas for their use in programs are included in the appendix. This book will serve as a valuable resource for both students and engineers in the industry. The author’s experience indicates that students, after 40 lectures and exercises of 45 minutes based on this textbook, have proved capable of designing independently complex heat exchangers such as for cooling of rocket propulsion chambers, condensers and evaporators for heat pumps.
Diesel Engines - Current Challenges and Future Perspectives
| Author | : Hasan Koten |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 158 |
| Release | : 2024-05-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1837694613 |
This book discusses the current technology and future status of diesel engines. While gasoline engines are preferred for speed and jet engines, diesel engines are widely used in vehicles and machinery that require torque, such as ships, trains, tanks, unmanned ariel vehicles (UAVs), and heavy-duty vehicles. Some recent research on global climate change has focused on obtaining zero carbon, zero emissions, and decarbonization via clean combustion technologies. For this reason, restrictive emission regulations have forced engine manufacturers and research centers to turn to different technologies to achieve clean combustion in diesel engines. This book focuses on different combustion technologies, from artificial intelligence applications in diesel engines to alternative fuels. It discusses the roles of artificial intelligence in the design of diesel engines, the use of different fuels in diesel engines, and the effects of these on the performance and emission values of diesel engines. Solving the challenge of hydrogen storage in hydrogen-fed diesel engines will open a new era for internal combustion engines. In particular, the use of hydrogen fuel produced by the reaction of chemical ingredients with water in diesel engine cycles will have a significant impact on the industry. This book, which brings together the latest studies on clean combustion technologies, is an interesting resource for both industry and research centers.
Model Predictive Control System Design and Implementation Using MATLAB®
| Author | : Liuping Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 398 |
| Release | : 2009-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1848823312 |
Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
