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Incremental Model Predictive Control System Design And Implementation Using Matlab Simulink
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Book Synopsis Incremental Model Predictive Control System Design and Implementation Using MATLAB/Simulink by : Xin Lin
Download or read book Incremental Model Predictive Control System Design and Implementation Using MATLAB/Simulink written by Xin Lin and published by . This book was released on 2013 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integral and model predictive controller (MPC) drive controlled outputs to their desired targets, and this thesis addresses the problem of integral controller, incremental and integral MPC when tracking the constant or inconstant references. Design and implementation of the MPC under MATLAB/Simulink environment are discussed both in incremental and integral form. Also one CSTR example is presented to compare the control performances among different integral controller and MPCs.
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.
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 2009-03-04 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.
Author :A. Taylor Publisher :Createspace Independent Publishing Platform ISBN 13 :9781979697620 Total Pages :432 pages Book Rating :4.6/5 (976 download)
Book Synopsis Predictive Control With Matlab. Designing and Simulating Models by : A. Taylor
Download or read book Predictive Control With Matlab. Designing and Simulating Models written by A. Taylor and published by Createspace Independent Publishing Platform. This book was released on 2017-11-14 with total page 432 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 IEC 61131-3 Structured Text generation. The most important features that this Toolbox provides are the following: - Inroduction: Learn the basics of Model Predictive Control Toolbox - Plant Specification: Specify plant model, input and output signal types, scale factors - MPC Design: Basic workflow for designing traditional (implicit) model predictive controllers - Adaptive MPC Design: Adaptive control of nonlinear plant by updating internal plant model at run time - Explicit MPC Design: Fast model predictive control using precomputed solutions instead of run-time optimization - Gain-Scheduled MPC Design: Gain-scheduled control of nonlinear plants by switching controllers at run time - Case-Study Examples
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
Book Synopsis New Directions on Model Predictive Control by : Jinfeng Liu
Download or read book New Directions on Model Predictive Control written by Jinfeng Liu and published by MDPI. This book was released on 2019-01-16 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "New Directions on Model Predictive Control" that was published in Mathematics
Book Synopsis Model Predictive Control Using MATLAB and SIMULINK by : Smith A.
Download or read book Model Predictive Control Using MATLAB and SIMULINK written by Smith A. and published by . This book was released on 2016-11-23 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control Toolbox provides tools for systematically analyzing, designing, and tuning model predictive controllers. You can design and simulate model predictive controllers using functions in MATLAB or blocks in Simulink. You can set and modify the predictive model, control and prediction horizons, input and output constraints, and weights. The toolbox enables you to diagnose issues that could lead to run-time failures and provides advice on changing weights and constraints to improve performance and robustness. By running different scenarios in linear and nonlinear simulations, you can evaluate controller performance. You can adjust controller performance as it runs by tuning weights and varying constraints. For rapid prototyping and embedded system design, the toolbox supports C-code generation.
Author :Smith A. Publisher :Createspace Independent Publishing Platform ISBN 13 :9781540592323 Total Pages :312 pages Book Rating :4.5/5 (923 download)
Download or read book Matlab and Simulink written by Smith A. and published by Createspace Independent Publishing Platform. This book was released on 2016-11-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control Toolbox provides tools for systematically analyzing, designing, and tuning model predictive controllers. You can design and simulate model predictive controllers using functions in MATLAB or blocks in Simulink. You can set and modify the predictive model, control and prediction horizons, input and output constraints, and weights. The toolbox enables you to diagnose issues that could lead to run-time failures and provides advice on changing weights and constraints to improve performance and robustness. By running different scenarios in linear and nonlinear simulations, you can evaluate controller performance. You can adjust controller performance as it runs by tuning weights and varying constraints. For rapid prototyping and embedded system design, the toolbox supports C-code generation.
Author :A. Taylor Publisher :Createspace Independent Publishing Platform ISBN 13 :9781979697262 Total Pages :208 pages Book Rating :4.6/5 (972 download)
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
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 2014-12-17 with total page 368 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.
Download or read book Predictive Control written by Yugeng Xi and published by John Wiley & Sons. This book was released on 2019-07-02 with total page 481 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.
Book Synopsis System Design through Matlab®, Control Toolbox and Simulink® by : Krishna K. Singh
Download or read book System Design through Matlab®, Control Toolbox and Simulink® written by Krishna K. Singh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB is a powerful, versatile, and interactive software for scientific and technical computations, including simulations. Specialized toolboxes provided with built-in functions are a special feature of MATLAB. This book aims at getting the reader started with computations and simulations in system engineering quickly and easily and then proceeds to build concepts for advanced computations and simulations that include the control and compensation of systems. Simulation through SIMULINK has also been described to allow the reader to get the feel of the real world situation.
Book Synopsis Handbook of Model Predictive Control by : Saša V. Raković
Download or read book Handbook of Model Predictive Control written by Saša V. Raković and published by Springer. This book was released on 2018-09-01 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance. The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.
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. This book was released on 2007-05-15 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.
Book Synopsis Model Predictive Control by : Ridong Zhang
Download or read book Model Predictive Control written by Ridong Zhang and published by Springer. This book was released on 2018-08-14 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.
Book Synopsis Robust Control Design with MATLAB® by : Da-Wei Gu
Download or read book Robust Control Design with MATLAB® written by Da-Wei Gu and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Control Design with MATLAB® (second edition) helps the student to learn how to use well-developed advanced robust control design methods in practical cases. To this end, several realistic control design examples from teaching-laboratory experiments, such as a two-wheeled, self-balancing robot, to complex systems like a flexible-link manipulator are given detailed presentation. All of these exercises are conducted using MATLAB® Robust Control Toolbox 3, Control System Toolbox and Simulink®. By sharing their experiences in industrial cases with minimum recourse to complicated theories and formulae, the authors convey essential ideas and useful insights into robust industrial control systems design using major H-infinity optimization and related methods allowing readers quickly to move on with their own challenges. The hands-on tutorial style of this text rests on an abundance of examples and features for the second edition: • rewritten and simplified presentation of theoretical and methodological material including original coverage of linear matrix inequalities; • new Part II forming a tutorial on Robust Control Toolbox 3; • fresh design problems including the control of a two-rotor dynamic system; and • end-of-chapter exercises. Electronic supplements to the written text that can be downloaded from extras.springer.com/isbn include: • M-files developed with MATLAB® help in understanding the essence of robust control system design portrayed in text-based examples; • MDL-files for simulation of open- and closed-loop systems in Simulink®; and • a solutions manual available free of charge to those adopting Robust Control Design with MATLAB® as a textbook for courses. Robust Control Design with MATLAB® is for graduate students and practising engineers who want to learn how to deal with robust control design problems without spending a lot of time in researching complex theoretical developments.
Book Synopsis Model Predictive Control Toolbox by : Manfred Morari
Download or read book Model Predictive Control Toolbox written by Manfred Morari and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
