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.
Download or read book Model Predictive Control Mit MATLAB und Simulink written by Rainer Dittmar and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 262 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
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.
Download or read book Model Predictive Control Mit MATLAB und Simulink written by Rainer Dittmar and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modellbasierte pr√§diktive Regelungen (Model Predictive Control, MPC) haben sich in den letzten drei Jahrzehnten zu einem leistungsf√§higen Ansatz f√or die L√∂sung anspruchsvoller Aufgaben der Mehrgr√∂√üenregelung mit Beschr√§nkungen der Stell- und Regelgr√∂√üen entwickelt. Sie werden in der Industrie inzwischen in vielen Bereichen erfolgreich eingesetzt. Mit der MPC Toolbox des Programmsystems MATLAB¬Æ/Simulink¬Æ steht ein Werkzeug zur Verf√ogung, das in der Praxis der Einsatzvorbereitung realer MPC-Regelungen dient, aber auch f√or die Lehre und Forschung an Universit√§ten und Hochschulen verwendet wird. Das vorliegende Buch gibt eine √úbersicht √ober die Grundideen und Anwendungsvorteile des MPC-Konzepts. Es zeigt, wie mit Hilfe der Toolbox in MATLAB¬Æ und Simulink¬Æ MPC-Regelungen entworfen, eingestellt und simuliert werden k√∂nnen. Ausgew√§hlte Beispiele aus dem Bereich der Verfahrenstechnik demonstrieren m√∂gliche Vorgehensweisen und vertiefen das Verst√§ndnis. Das Buch richtet sich an in der Industrie t√§tige Ingenieure, die mit Hilfe von MATLAB¬Æ/Simulink¬Æ MPC-Regelungen planen, entwickeln und betreiben wollen, aber auch an Studierende unterschiedlicher technischer Fachdisziplinen, die in das Arbeitsgebiet Model Predictive Control einsteigen wollen.
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.
Download or read book I D for Smart Cities and Industry written by Marcelo Zambrano Vizuete and published by Springer Nature. This book was released on 2022-08-01 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the Second International Conference on Technological Research - RITAM 2021. RITAM 2021 was held on October 27–29, 2021. It was jointly supported and co-organized by the RITAM Research Network (Sucre, Central Técnico, Turismo y Patrimonio YAVIRAC, Luis Napoleón Dillon, Conservatorio Superior Nacional de Música, Luis A Martínez, Paulo Emilio Macías, La Maná, Luis A Martínez Agronómico Loja, Primero de Mayo, Jaime Roldós Aguilera, Cotacachi, Alfonso Herrera) and GDEON. RITAM aims to provide a forum for discussion and the dissemination of results from R&D projects that have been developed both within and outside of Ecuador over the last few years.
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.
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
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 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
Download or read book MATLAB Applications in Engineering written by Constantin Volosencu and published by BoD – Books on Demand. This book was released on 2022-02-02 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a comprehensive overview of MATLAB and Simulink programming. Chapters discuss MATLAB programming for practical usages in mesosphere–stratosphere–troposphere (MST) radars, geometric segmentation, Bluetooth applications, and control of electric drives. The published examples highlight the capabilities of MATLAB programming in the fields of mathematical modeling, algorithmic development, data acquisition, time simulation, and testing.
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 463 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.
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.
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.
Download or read book MATLAB Control Systems Engineering written by Cesar Lopez and published by Apress. This book was released on 2014-09-22 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.
Download or read book Advanced Model Predictive Control written by Tao Zheng and published by BoD – Books on Demand. This book was released on 2011-07-05 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
