Practical Design and Application of Model Predictive Control

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128139196
Total Pages : 264 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Practical Design and Application of Model Predictive Control by : Nassim Khaled

Download or read book Practical Design and Application of Model Predictive Control written by Nassim Khaled and published by Butterworth-Heinemann. This book was released on 2018-05-04 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Model Predictive Control System Design and Implementation Using MATLAB®

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1848823312
Total Pages : 398 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Model Predictive Control System Design and Implementation Using MATLAB® by : Liuping Wang

Download or read book Model Predictive Control System Design and Implementation Using MATLAB® written by Liuping Wang and published by Springer Science & Business Media. This book was released on 2009-02-14 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Model Predictive Control mit MATLAB und Simulink

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Publisher : BoD – Books on Demand
ISBN 13 : 1838800956
Total Pages : 214 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Model Predictive Control mit MATLAB und Simulink by : Rainer Dittmar

Download or read book Model Predictive Control mit MATLAB und Simulink written by Rainer Dittmar and published by BoD – Books on Demand. This book was released on 2019-12-04 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modellbasierte prädiktive Regelungen dienen der Lösung anspruchsvoller Aufgaben der Mehrgrößenregelung mit Beschränkungen der Stell- und Regelgrößen. Sie werden in der Industrie in vielen Bereichen erfolgreich eingesetzt. Mit der MPC ToolboxTM des Programmsystems MATLAB®/Simulink® steht ein Werkzeug zur Verfügung, das sowohl in der industriellen Praxis als auch an Universitäten und Hochschulen verwendet wird. Das vorliegende Buch gibt eine Übersicht über die Grundideen und Anwendungsvorteile des MPC-Konzepts. Es zeigt, wie mit Hilfe der Toolbox MPC-Regelungen entworfen, eingestellt und simuliert werden können. Ausgewählte Beispiele aus dem Bereich der Verfahrenstechnik demonstrieren mögliche Vorgehensweisen und vertiefen das Verständnis. Das Buch richtet sich an in der Industrie tätige Ingenieure, die MPC-Regelungen planen, entwickeln und betreiben, aber auch an Studierende technischer Fachdisziplinen, die in das Arbeitsgebiet MPC einsteigen wollen. Model Predictive Control (MPC) is used to solve challenging multivariable-constrained control problems. MPC systems are successfully applied in many different branches of industry. The MPC ToolboxTM of MATLAB®/Simulink® provides powerful tools for industrial MPC application, but also for education and research at technical universities. This book gives an overview of the basic ideas and advantages of the MPC concept. It shows how MPC systems can be designed, tuned, and simulated using the MPC Toolbox. Selected process engineering benchmark examples are used to demonstrate typical design approaches and help deepen the understanding of MPC technologies. The book is aimed at engineers in industry interested in the development and application of MPC systems, as well as students of different technical disciplines seeking an introduction into this field.This book gives an overview of the basic ideas and advantages of the MPC concept. It shows how MPC systems can be designed, tuned, and simulated using the MPC Toolbox. Selected process engineering benchmark examples are used to demonstrate typical design approaches and help deepen the understanding of MPC technologies. The book is aimed at engineers in industry interested in the development and application of MPC systems, as well as students of different technical disciplines seeking an introduction into this field.

A First Course in Predictive Control

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Author :
Publisher : CRC Press
ISBN 13 : 1351597159
Total Pages : 435 pages
Book Rating : 4.3/5 (515 download)

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Book Synopsis A First Course in Predictive Control by : J.A. Rossiter

Download or read book A First Course in Predictive Control written by J.A. Rossiter and published by CRC Press. This book was released on 2018-04-17 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a significant expansion in depth and breadth of the previous edition. It includes substantially more numerical illustrations and copious supporting MATLAB code that the reader can use to replicate illustrations or build his or her own. The code is deliberately written to be as simple as possible and easy to edit. The book is an excellent starting point for any researcher to gain a solid grounding in MPC concepts and algorithms before moving into application or more advanced research topics. Sample problems for readers are embedded throughout the chapters, and in-text questions are designed for readers to demonstrate an understanding of concepts through numerical simulation.

Introduction to Model Predictive Control With Matlab

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781979697262
Total Pages : 208 pages
Book Rating : 4.6/5 (972 download)

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Book Synopsis Introduction to Model Predictive Control With Matlab by : A. Taylor

Download or read book Introduction to Model Predictive Control With Matlab written by A. Taylor and published by Createspace Independent Publishing Platform. This book was released on 2017-11-13 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control Toolbox provides functions, an app, and Simulink blocks for designing and simulating model predictive controllers (MPCs). The toolbox lets you specify plant and disturbance models, horizons, constraints, and weights. By running closed-loop simulations, you can evaluate controller performance. You can adjust the behavior of the controller by varying its weights and constraints at run time. To control a nonlinear plant, you can implement adaptive and gain-scheduled MPCs. For applications with fast sample rates, you can generate an explicit model predictive controller from a regular controller or implement an approximate solution. For rapid prototyping and embedded system implementation, the toolbox supports automatic C-code and Structured Text generation. The most important content that this book provides are the following: -MPC Modeling -Plant Model -Disturbance Model -Measurement Noise Model -Signal Types, Inputs and Outputs -Construct Linear Time Invariant (LTI) Models -Transfer Function Models -Zero/Pole/Gain Models -State-Space Models -LTI Object Properties -LTI Model Characteristics -Specify Multi-Input Multi-Output Plants -CSTR Model -Linearize Simulink Models -Linearization Using MATLAB Code -Linearization Using Linear Analysis Tool in Simulink Control Design -Linearize Simulink Models Using MPC Designer -Define MPC Structure By Linearization -Linearize Model -Specifying Operating Points -Connect Measured Disturbances for Linearization -Identify Plant from Data -Identify Plant from Data at the Command Line -Working with Impulse-Response Models -Design MPC Controller for Identified Plant Model -Design Controller for Identified Plant Using Apps -Design Controller for Identified Plant at the Command Line -Configure Noise Channels as Unmeasured Disturbances -Design Controller Using MPC Designer -Test Controller Robustness -Design MPC Controller for Plant with Delays -Design MPC Controller for Nonsquare Plant -Design MPC Controller at the Command Line -Simulate Controller with Nonlinear Plant -Nonlinear CSTR Application -Example Code for Successive Linearization -CSTR Results and Discussion -Compute Steady-State Gain -Extract Controller -Signal Previewing -Update Constraints at Run Time -Update Bounds on Input and Output Signals at Run Time -Update Custom Linear Constraints at Run Time -Tune Weights at Run Time -Designing and Testing Controllers in Simulink -Design MPC Controller in Simulink -Test an Existing Controller

Nonlinear Model Predictive Control

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Author :
Publisher : Birkhäuser
ISBN 13 : 3034884079
Total Pages : 463 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Nonlinear Model Predictive Control by : Frank Allgöwer

Download or read book Nonlinear Model Predictive Control written by Frank Allgöwer and published by Birkhäuser. This book was released on 2012-12-06 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and application issues. The book consists of selected papers presented at the International Symposium on Nonlinear Model Predictive Control – Assessment and Future Directions, which took place from June 3 to 5, 1998, in Ascona, Switzerland. The book is geared towards researchers and practitioners in the area of control engineering and control theory. It is also suited for postgraduate students as the book contains several overview articles that give a tutorial introduction into the various aspects of nonlinear model predictive control, including systems theory, computations, modeling and applications.

Model Predictive Control in the Process Industry

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Publisher : Springer Science & Business Media
ISBN 13 : 1447130081
Total Pages : 250 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho

Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

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Publisher : John Wiley & Sons
ISBN 13 : 1118339444
Total Pages : 369 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink by : Liuping Wang

Download or read book PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink written by Liuping Wang and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents. Brings together both classical control systems and predictive control systems in a logical style from introductory through to advanced levels Demonstrates how simulation and experimental results are used to support theoretical analysis and the proposed design algorithms MATLAB and Simulink tutorials are given in each chapter to show the readers how to take the theory to applications. Includes MATLAB and Simulink software using xPC Target for teaching purposes A companion website is available Researchers and industrial engineers; and graduate students on electrical engineering courses will find this a valuable resource.

Predictive Control for Linear and Hybrid Systems

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Publisher : Cambridge University Press
ISBN 13 : 1107016886
Total Pages : 447 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Predictive Control for Linear and Hybrid Systems by : Francesco Borrelli

Download or read book Predictive Control for Linear and Hybrid Systems written by Francesco Borrelli and published by Cambridge University Press. This book was released on 2017-06-22 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a simple approach that includes real-time applications and algorithms, this book covers the theory of model predictive control (MPC).

Nonlinear Model Predictive Control

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Publisher : Springer
ISBN 13 : 3319460242
Total Pages : 463 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Nonlinear Model Predictive Control by : Lars Grüne

Download or read book Nonlinear Model Predictive Control written by Lars Grüne and published by Springer. This book was released on 2016-11-09 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.

Model Predictive Control of Wind Energy Conversion Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1118988582
Total Pages : 516 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Model Predictive Control of Wind Energy Conversion Systems by : Venkata Yaramasu

Download or read book Model Predictive Control of Wind Energy Conversion Systems written by Venkata Yaramasu and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems. The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book: Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission. Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.

Model Predictive Control

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Publisher : Springer Science & Business Media
ISBN 13 : 0857293982
Total Pages : 405 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Model Predictive Control by : Eduardo F. Camacho

Download or read book Model Predictive Control written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2013-01-10 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

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Author :
Publisher : Elsevier
ISBN 13 : 0323903231
Total Pages : 246 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters by : Alfeu Sguarezi

Download or read book Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters written by Alfeu Sguarezi and published by Elsevier. This book was released on 2022-01-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using field orientation control techniques as both current control and direct power control. Sections discuss induction machines, their key modulation techniques, introduce the utility of model predictive control, review core concepts of vector control, direct torque control, and direct power control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation in MATLAB are also considered in-depth. The work concludes by addressing implementation considerations, including generator operation under voltage sags or distorted voltage and inverters connected to the grid operating under distorted voltage. Experimental results are presented in full. Adopts model predictive control design for optimized induction machines geared for complex grid dynamics Demonstrates how to simulate model predictive control using MATLAB and Simulink Presents information about hardware implementation to obtain experimental results Covers generator operation under voltage sags or distorted voltage

Model-Based Predictive Control

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Publisher : CRC Press
ISBN 13 : 135198859X
Total Pages : 323 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Model-Based Predictive Control by : J.A. Rossiter

Download or read book Model-Based Predictive Control written by J.A. Rossiter and published by CRC Press. This book was released on 2017-07-12 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.

Predictive Control

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Publisher : John Wiley & Sons
ISBN 13 : 1119119545
Total Pages : 391 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Predictive Control by : Yugeng Xi

Download or read book Predictive Control written by Yugeng Xi and published by John Wiley & Sons. This book was released on 2019-11-12 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.

Predictive Control of Power Converters and Electrical Drives

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Publisher : Wiley-IEEE Press
ISBN 13 : 9781119963981
Total Pages : 246 pages
Book Rating : 4.9/5 (639 download)

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Book Synopsis Predictive Control of Power Converters and Electrical Drives by : Jose Rodriguez

Download or read book Predictive Control of Power Converters and Electrical Drives written by Jose Rodriguez and published by Wiley-IEEE Press. This book was released on 2012-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power converters and drives The book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four - Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic. Unique in presenting a completely new theoretic solution to control electric power in a simple way Discusses the application of predictive control in motor drives, with several examples and case studies Matlab is included on a complementary website so the reader can run their own simulations

Model Predictive Control

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Publisher :
ISBN 13 : 9780975937754
Total Pages : 770 pages
Book Rating : 4.9/5 (377 download)

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Book Synopsis Model Predictive Control by : James Blake Rawlings

Download or read book Model Predictive Control written by James Blake Rawlings and published by . This book was released on 2017 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: