Dynamic Modeling Predictive Control And Performance Monitoring

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Dynamic Modeling, Predictive Control and Performance Monitoring

Biao Huang,Ramesh Kadali
Dynamic Modeling Predictive Control and Performance Monitoring Book PDF

Author : Biao Huang,Ramesh Kadali
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 47,8 Mb
Release : 2008-04-11
Category : Technology & Engineering
ISBN : 9781848002326

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Dynamic Modeling, Predictive Control and Performance Monitoring by Biao Huang,Ramesh Kadali Pdf

A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.

Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells

Biao Huang,Yutong Qi,A. K. M. Monjur Murshed
Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells Book PDF

Author : Biao Huang,Yutong Qi,A. K. M. Monjur Murshed
Publisher : John Wiley & Sons
Page : 345 pages
File Size : 46,6 Mb
Release : 2013-02-18
Category : Science
ISBN : 9780470973912

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Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells by Biao Huang,Yutong Qi,A. K. M. Monjur Murshed Pdf

The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control of SOFC systems, this book presents original modelling methods and brand new results as developed by the authors. With comprehensive coverage and bringing together many aspects of SOFC technology, it considers dynamic modelling through first-principles and data-based approaches, and considers all aspects of control, including modelling, system identification, state estimation, conventional and advanced control. Key features: Discusses both planar and tubular SOFC, and detailed and simplified dynamic modelling for SOFC Systematically describes single model and distributed models from cell level to system level Provides parameters for all models developed for easy reference and reproducing of the results All theories are illustrated through vivid fuel cell application examples, such as state-of-the-art unscented Kalman filter, model predictive control, and system identification techniques to SOFC systems The tutorial approach makes it perfect for learning the fundamentals of chemical engineering, system identification, state estimation and process control. It is suitable for graduate students in chemical, mechanical, power, and electrical engineering, especially those in process control, process systems engineering, control systems, or fuel cells. It will also aid researchers who need a reminder of the basics as well as an overview of current techniques in the dynamic modelling and control of SOFC.

Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

Chao Shang
Dynamic Modeling of Complex Industrial Processes Data driven Methods and Application Research Book PDF

Author : Chao Shang
Publisher : Springer
Page : 143 pages
File Size : 47,9 Mb
Release : 2018-02-22
Category : Technology & Engineering
ISBN : 9789811066771

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Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research by Chao Shang Pdf

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.

New Directions on Model Predictive Control

Jinfeng Liu,Helen E Durand
New Directions on Model Predictive Control Book PDF

Author : Jinfeng Liu,Helen E Durand
Publisher : MDPI
Page : 231 pages
File Size : 53,9 Mb
Release : 2019-01-16
Category : Engineering (General). Civil engineering (General)
ISBN : 9783038974208

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New Directions on Model Predictive Control by Jinfeng Liu,Helen E Durand Pdf

This book is a printed edition of the Special Issue "New Directions on Model Predictive Control" that was published in Mathematics

Automotive Model Predictive Control

Luigi Del Re,Frank Allgöwer,Luigi Glielmo,Carlos Guardiola,Ilya Kolmanovsky
Automotive Model Predictive Control Book PDF

Author : Luigi Del Re,Frank Allgöwer,Luigi Glielmo,Carlos Guardiola,Ilya Kolmanovsky
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 55,5 Mb
Release : 2010-03-11
Category : Technology & Engineering
ISBN : 9781849960700

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Automotive Model Predictive Control by Luigi Del Re,Frank Allgöwer,Luigi Glielmo,Carlos Guardiola,Ilya Kolmanovsky Pdf

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.

Nonlinear Model Predictive Control

Lalo Magni,Davide Martino Raimondo,Frank Allgöwer
Nonlinear Model Predictive Control Book PDF

Author : Lalo Magni,Davide Martino Raimondo,Frank Allgöwer
Publisher : Springer Science & Business Media
Page : 562 pages
File Size : 52,8 Mb
Release : 2009-05-25
Category : Technology & Engineering
ISBN : 9783642010934

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Nonlinear Model Predictive Control by Lalo Magni,Davide Martino Raimondo,Frank Allgöwer Pdf

Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.

Multivariable Predictive Control

Sandip K. Lahiri
Multivariable Predictive Control Book PDF

Author : Sandip K. Lahiri
Publisher : John Wiley & Sons
Page : 309 pages
File Size : 53,5 Mb
Release : 2017-10-23
Category : Technology & Engineering
ISBN : 9781119243601

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Multivariable Predictive Control by Sandip K. Lahiri Pdf

A guide to all practical aspects of building, implementing, managing, and maintaining MPC applications in industrial plants Multivariable Predictive Control: Applications in Industry provides engineers with a thorough understanding of all practical aspects of multivariate predictive control (MPC) applications, as well as expert guidance on how to derive maximum benefit from those systems. Short on theory and long on step-by-step information, it covers everything plant process engineers and control engineers need to know about building, deploying, and managing MPC applications in their companies. MPC has more than proven itself to be one the most important tools for optimising plant operations on an ongoing basis. Companies, worldwide, across a range of industries are successfully using MPC systems to optimise materials and utility consumption, reduce waste, minimise pollution, and maximise production. Unfortunately, due in part to the lack of practical references, plant engineers are often at a loss as to how to manage and maintain MPC systems once the applications have been installed and the consultants and vendors’ reps have left the plant. Written by a chemical engineer with two decades of experience in operations and technical services at petrochemical companies, this book fills that regrettable gap in the professional literature. Provides a cost-benefit analysis of typical MPC projects and reviews commercially available MPC software packages Details software implementation steps, as well as techniques for successfully evaluating and monitoring software performance once it has been installed Features case studies and real-world examples from industries, worldwide, illustrating the advantages and common pitfalls of MPC systems Describes MPC application failures in an array of companies, exposes the root causes of those failures, and offers proven safeguards and corrective measures for avoiding similar failures Multivariable Predictive Control: Applications in Industry is an indispensable resource for plant process engineers and control engineers working in chemical plants, petrochemical companies, and oil refineries in which MPC systems already are operational, or where MPC implementations are being considering.

Model Abstraction in Dynamical Systems: Application to Mobile Robot Control

Patricia Mellodge,Pushkin Kachroo
Model Abstraction in Dynamical Systems Application to Mobile Robot Control Book PDF

Author : Patricia Mellodge,Pushkin Kachroo
Publisher : Springer Science & Business Media
Page : 126 pages
File Size : 54,9 Mb
Release : 2008-09-02
Category : Technology & Engineering
ISBN : 9783540707929

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Model Abstraction in Dynamical Systems: Application to Mobile Robot Control by Patricia Mellodge,Pushkin Kachroo Pdf

The subject of this book is model abstraction of dynamical systems. The p- mary goal of the work embodied in this book is to design a controller for the mobile robotic car using abstraction. Abstraction provides a means to rep- sent the dynamics of a system using a simpler model while retaining important characteristics of the original system. A second goal of this work is to study the propagation of uncertain initial conditions in the framework of abstraction. The summation of this work is presented in this book. It includes the following: • An overview of the history and current research in mobile robotic control design. • A mathematical review that provides the tools used in this research area. • The development of the robotic car model and both controllers used in the new control design. • A review of abstraction and an extension of these ideas into new system relationship characterizations called traceability and -traceability. • A framework for designing controllers based on abstraction. • An open-loop control design with simulation results. • An investigation of system abstraction with uncertain initial conditions.

Advanced Model Predictive Control

Tao Zheng
Advanced Model Predictive Control Book PDF

Author : Tao Zheng
Publisher : BoD – Books on Demand
Page : 434 pages
File Size : 53,7 Mb
Release : 2011-07-05
Category : Technology & Engineering
ISBN : 9789533072982

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Advanced Model Predictive Control by Tao Zheng Pdf

Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.

Reconfigurable Control of Nonlinear Dynamical Systems

Jan H. Richter
Reconfigurable Control of Nonlinear Dynamical Systems Book PDF

Author : Jan H. Richter
Publisher : Springer
Page : 299 pages
File Size : 49,9 Mb
Release : 2011-02-02
Category : Technology & Engineering
ISBN : 9783642176289

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Reconfigurable Control of Nonlinear Dynamical Systems by Jan H. Richter Pdf

This research monograph summarizes solutions to reconfigurable fault-tolerant control problems for nonlinear dynamical systems that are based on the fault-hiding principle. It emphasizes but is not limited to complete actuator and sensor failures. In the first part, the monograph starts with a broad introduction of the control reconfiguration problems and objectives as well as summaries and explanations of solutions for linear dynamical systems. The solution is always a reconfiguration block, which consists of linear virtual actuators in the case of actuator faults and linear virtual sensors in the case of sensor faults. The main advantage of the fault-hiding concept is the reusability of the nominal controller, which remains in the loop as an active system while the virtual actuator and sensor adapt the control input and the measured output to the fault scenario. The second and third parts extend virtual actuators and virtual sensors towards the classes of Hammerstein-Wiener systems and piecewise affine systems. The main analyses concern stability recovery, setpoint tracking recovery, and performance recovery as reconfiguration objectives. The fourth part concludes the monograph with descriptions of practical implementations and case studies. The book is primarily intended for active researchers and practicing engineers in the field of fault-tolerant control. Due to many running examples it is also suitable for interested graduate students.

Analysis and Synthesis of Dynamical Systems with Time-Delays

Yuanqing Xia,Mengyin Fu,Peng Shi
Analysis and Synthesis of Dynamical Systems with Time Delays Book PDF

Author : Yuanqing Xia,Mengyin Fu,Peng Shi
Publisher : Springer
Page : 284 pages
File Size : 45,5 Mb
Release : 2009-10-06
Category : Technology & Engineering
ISBN : 9783642026966

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Analysis and Synthesis of Dynamical Systems with Time-Delays by Yuanqing Xia,Mengyin Fu,Peng Shi Pdf

Time-delay occurs in many dynamical systems such as biological systems, chemical systems, metallurgical processing systems, nuclear reactor, long transmission lines in pneumatic, hydraulic systems and electrical networks. Especially, in recent years, time-delay which exists in networked control s- temshasbroughtmorecomplexproblemintoanewresearcharea.Frequently, itisasourceofthegenerationofoscillation,instabilityandpoorperformance. Considerable e?ort has been applied to di?erent aspects of linear time-delay systems during recent years. Because the introduction of the delay factor renders the system analysis more complicated, in addition to the di?culties caused by the perturbation or uncertainties, in the control of time-delay s- tems, the problems of robust stability and robust stabilization are of great importance. This book presents some basic theories of stability and stabilization of systems with time-delay, which are related to the main results in this book. More attention will be paid on synthesis of systems with time-delay. That is, sliding mode control of systems with time-delay; networked control systems with time-delay; networked data fusion with random delay.

Linear, Time-varying Approximations to Nonlinear Dynamical Systems

Maria Tomas-Rodriguez,Stephen P. Banks
Linear Time varying Approximations to Nonlinear Dynamical Systems Book PDF

Author : Maria Tomas-Rodriguez,Stephen P. Banks
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 52,9 Mb
Release : 2010-02-04
Category : Mathematics
ISBN : 9781849961004

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Linear, Time-varying Approximations to Nonlinear Dynamical Systems by Maria Tomas-Rodriguez,Stephen P. Banks Pdf

Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems. This method is general and requires only very mild conditions on the system nonlinearities, setting it apart from other techniques such as those – well-known – based on differential geometry. The authors cover many aspects of nonlinear systems including stability theory, control design and extensions to distributed parameter systems. Many of the classical and modern control design methods which can be applied to linear, time-varying systems can be extended to nonlinear systems by this technique. The implementation of the control is therefore simple and can be done with well-established classical methods. Many aspects of nonlinear systems, such as spectral theory which is important for the generalisation of frequency domain methods, can be approached by this method.

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Krzysztof Patan
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes Book PDF

Author : Krzysztof Patan
Publisher : Springer Science & Business Media
Page : 223 pages
File Size : 46,9 Mb
Release : 2008-06-24
Category : Technology & Engineering
ISBN : 9783540798712

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes by Krzysztof Patan Pdf

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

Advanced Chemical Process Control

Morten Hovd
Advanced Chemical Process Control Book PDF

Author : Morten Hovd
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 45,9 Mb
Release : 2023-06-02
Category : Technology & Engineering
ISBN : 9783527842483

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Advanced Chemical Process Control by Morten Hovd Pdf

Advanced Chemical Process Control Bridge the gap between theory and practice with this accessible guide Process control is an area of study which seeks to optimize industrial processes, applying different strategies and technologies as required to navigate the variety of processes and their many potential challenges. Though the body of chemical process control theory is robust, it is only in recent decades that it has been effectively integrated with industrial practice to form a flexible toolkit. The need for a guide to this integration of theory and practice has therefore never been more urgent. Advanced Chemical Process Control meets this need, making advanced chemical process control accessible and useful to chemical engineers with little grounding in the theoretical principles of the subject. It provides a basic introduction to the background and mathematics of control theory, before turning to the implementation of control principles in industrial contexts. The result is a bridge between the insights of control theory and the needs of engineers in plants, factories, research facilities, and beyond. Advanced Chemical Process Control readers will also find: Detailed overview of Control Performance Monitoring (CPM), Model Predictive Control (MPC), and more Discussion of the cost benefit analysis of improved control in particular jobs Authored by a leading international expert on chemical process control Advanced Chemical Process Control is essential for chemical and process engineers looking to develop a working knowledge of process control, as well as for students and graduates entering the chemical process control field.

Optimal Linear Controller Design for Periodic Inputs

Goele Pipeleers,Bram Demeulenaere,Jan Swevers
Optimal Linear Controller Design for Periodic Inputs Book PDF

Author : Goele Pipeleers,Bram Demeulenaere,Jan Swevers
Publisher : Springer
Page : 180 pages
File Size : 41,7 Mb
Release : 2009-12-07
Category : Technology & Engineering
ISBN : 9781848829756

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Optimal Linear Controller Design for Periodic Inputs by Goele Pipeleers,Bram Demeulenaere,Jan Swevers Pdf

Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control. The design methodology proposed is able to reproduce and outperform the major current design approaches, where this superior performance stems from the following properties: uncertainty on the input period is explicitly accounted for, periodic performance being traded-off against conflicting design objectives and controller design being translated into a convex optimization problem, guaranteeing the efficient computation of its global optimum. The potential of the design methodology is illustrated by both numerical and experimental results.