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Author: Dieter Schwarzmann Publisher: Logos Verlag Berlin ISBN: 9783832518233 Category : Languages : en Pages : 0
Book Description
This work develops an internal model control (IMC) design method for nonlinear plants and employs this method to design pressure controllers for a one-stage and a two-stage turbocharged diesel engine. The main focus lies on developing an applicable controller design method for automotive control problems. Automotive applications are characterised by a combination of the limited computational power of the car's on-board control unit and the nonlinear character of the systems to be controlled. Moreover, a required step in the development of series production controllers is the manual adaptation (calibration) of the controller parameters after the actual design. For this reason, the controller should provide tunable parameters. The parameters of the internal model of an IMC controller are chosen to serve for this purpose. Thus, IMC is proposed as the control structure. The contribution of this thesis is two-fold. First, this work presents an IMC design procedure for nonlinear single-input, single-output systems. The nonlinear IMC, as proposed here, is based on the IMC structure known from linear systems and is based on a nonlinear feedforward control design. It is inversion-based and uses a low-pass state-variable filter which connects to the right inverse of the plant model to obtain a realisable IMC controller. Basic system properties, such as relative degree and internal dynamics, are exploited to extend the system class to stable and invertible plants. Input constraints and model singularities are taken into account by using a nonlinear low-pass filter that is made aware of the possible input/output behaviour of the model. This awareness is introduced by a model-dependent constraint of the filter's highest output derivative. The nonlinear IMC provides robust stability and robust tracking of the closed-loop system. Second, the feasibility of this control scheme is presented. A single-input, single-output boost-pressure IMC controller is designed for a one-stage turbocharged diesel engine. The controlled plant was tested at the test bed and showed good results, surpassing the performance of the production PID-type controller. Two-stage turbocharging recently produced interest among car manufacturers and poses a challenging control problem due to the nonlinearity of the MIMO plant and a singularity of its inverse. This thesis presents the first model-based solution to this control problem. A multi-input, multi-output nonlinear IMC controller is designed and tested in simulations, showing good performance and robustness.
Author: Dieter Schwarzmann Publisher: Logos Verlag Berlin ISBN: 9783832518233 Category : Languages : en Pages : 0
Book Description
This work develops an internal model control (IMC) design method for nonlinear plants and employs this method to design pressure controllers for a one-stage and a two-stage turbocharged diesel engine. The main focus lies on developing an applicable controller design method for automotive control problems. Automotive applications are characterised by a combination of the limited computational power of the car's on-board control unit and the nonlinear character of the systems to be controlled. Moreover, a required step in the development of series production controllers is the manual adaptation (calibration) of the controller parameters after the actual design. For this reason, the controller should provide tunable parameters. The parameters of the internal model of an IMC controller are chosen to serve for this purpose. Thus, IMC is proposed as the control structure. The contribution of this thesis is two-fold. First, this work presents an IMC design procedure for nonlinear single-input, single-output systems. The nonlinear IMC, as proposed here, is based on the IMC structure known from linear systems and is based on a nonlinear feedforward control design. It is inversion-based and uses a low-pass state-variable filter which connects to the right inverse of the plant model to obtain a realisable IMC controller. Basic system properties, such as relative degree and internal dynamics, are exploited to extend the system class to stable and invertible plants. Input constraints and model singularities are taken into account by using a nonlinear low-pass filter that is made aware of the possible input/output behaviour of the model. This awareness is introduced by a model-dependent constraint of the filter's highest output derivative. The nonlinear IMC provides robust stability and robust tracking of the closed-loop system. Second, the feasibility of this control scheme is presented. A single-input, single-output boost-pressure IMC controller is designed for a one-stage turbocharged diesel engine. The controlled plant was tested at the test bed and showed good results, surpassing the performance of the production PID-type controller. Two-stage turbocharging recently produced interest among car manufacturers and poses a challenging control problem due to the nonlinearity of the MIMO plant and a singularity of its inverse. This thesis presents the first model-based solution to this control problem. A multi-input, multi-output nonlinear IMC controller is designed and tested in simulations, showing good performance and robustness.
Author: Danil Prokhorov Publisher: Springer ISBN: 3540792570 Category : Technology & Engineering Languages : en Pages : 288
Book Description
What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.
Author: Luigi Del Re Publisher: Springer Science & Business Media ISBN: 1849960704 Category : Technology & Engineering Languages : en Pages : 291
Book Description
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.
Author: Thivaharan Albin Rajasingham Publisher: Springer Nature ISBN: 303068010X Category : Technology & Engineering Languages : en Pages : 330
Book Description
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.
Author: Michael J. Grimble Publisher: Springer Nature ISBN: 1447174577 Category : Technology & Engineering Languages : en Pages : 778
Book Description
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.
Author: Institution of Mechanical Engineers Publisher: Elsevier ISBN: 0857096133 Category : Technology & Engineering Languages : en Pages : 456
Book Description
This book presents the papers from the latest international conference, following on from the highly successful previous conferences in this series held regularly since 1978. Papers cover all current and novel aspects of turbocharging systems design for boosting solutions for engine downsizing. The focus of the papers is on the application of turbocharger and other pressure charging devices to spark ignition (SI) and compression ignition (CI) engines in the passenger car and commercial vehicles. Novel boosting solutions for diesel engines operating in the industrial and marine market sectors are also included. The current emission legislations and environmental trends for reducing CO2 and fuel consumption are the major market forces in the transport (land and marine) and industry sectors. In these market sectors the internal combustion engine is the key product where downsizing is the driver for development for both SI and CI engines in the passenger car and commercial vehicle applications. The more stringent future market forces and environmental considerations mean more stringent engine downsizing, thus, novel systems are required to provide boosting solutions including hybrid, electric-motor and exhaust waste energy recovery systems for high efficiency, response, reliability, durability and compactness etc. For large engines the big challenge is to enhance the high specific power and efficiency whilst reducing emission levels (Nox and Sox) with variable quality fuels. This will require turbocharging systems for very high boost pressure, efficiency and a high degree of system flexibility. Presents papers from all the latest international conference Papers cover all aspects of the turbocharging systems design for boosting solutions for engine downsizing The focus of the papers is on the application of turbocharger and other pressure charging devices to spark ignition (SI) and compression ignition (CI) engines in the passenger car and commercial vehicles
Author: Alan S.I. Zinober Publisher: Springer ISBN: 3540458026 Category : Technology & Engineering Languages : en Pages : 396
Book Description
The objective of the EU Nonlinear Control Network Workshop was to bring together scientists who are already active in nonlinear control and young researchers working in this field. This book presents selectively invited contributions from the workshop, some describing state-of-the-art subjects that already have a status of maturity while others propose promising future directions in nonlinear control. Amongst others, following topics of nonlinear and adaptive control are included: adaptive and robust control, applications in physical systems, distributed parameter systems, disturbance attenuation, dynamic feedback, optimal control, sliding mode control, and tracking and motion planning.
Author: Ferdinando Taglialatela-Scafati Publisher: Springer ISBN: 3319671405 Category : Technology & Engineering Languages : en Pages : 89
Book Description
This brief provides an overview on the most relevant nonlinear phenomena in internal combustion engines with a particular emphasis on the use of nonlinear circuits in their modelling and control. The brief contains advanced methodologies —based on neural networks and soft-computing approaches among others— for the compensation of engine nonlinearities by using the combustion pressure signal and proposes several techniques for the reconstruction of this signal on the basis of different engine parameters, including engine-block vibration and crankshaft rotational speed. Another topic of the book is the diagnosis of the nonlinearities of injection systems and their balancing, which is a mandatory task for the new generation of gasoline direct injection engines. The authors come from both industrial and academic backgrounds, so the brief represents an important tool both for researchers and practitioners in the automotive industry.
Author: Dieter Schwarzmann
Author: Dieter Schwarzmann
Author: Danil Prokhorov
Author: Luigi Del Re
Author: Basil Hamed
Author: Thivaharan Albin Rajasingham
Author: M. Metzler
Author: Michael J. Grimble
Author: Institution of Mechanical Engineers
Author: Alan S.I. Zinober
Author: Ferdinando Taglialatela-Scafati