Model Based Predictive Control Of Electric Drives

Author : Arne Linder,Rahul Kanchan,Peter Stolze,Ralph Kennel
Publisher : Cuvillier Verlag
Page : 270 pages
File Size : 51,7 Mb
Release : 2010-07-09
Category : Technology & Engineering
ISBN : 9783736933989

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Model-Based Predictive Control of Electric Drives by Arne Linder,Rahul Kanchan,Peter Stolze,Ralph Kennel Pdf

For more than 20 years, the so-called field-oriented control is standard for controlled electric drive systems. Until now, the strategies based on this method fulfill completely the requirements of drive technology. However, due to the system characteristics, an arbitrary improvement of the controller properties is not possible. Predictive or precalculating control methods which need no controller cascade are an alternative. Main focus of this work is to examine model-based predictive controllers for their applicability in drive technology. These methods with their high prediction horizon are well-known from classic control theory and in process engineering they are applied with great success. Several strategies are presented, explained and evaluated, whereas, at the same time, the interested reader gets advice for the implementation of these methods. Since model-based predictive control is, until now, not very common in drive technology, this work also includes detailed derivations of the control algorithms.

Author : Liuping Wang,Shan Chai,Dae Yoo,Lu Gan,Ki Ng
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 49,7 Mb
Release : 2015-03-02
Category : Science
ISBN : 9781118339442

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PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink by Liuping Wang,Shan Chai,Dae Yoo,Lu Gan,Ki Ng Pdf

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.

Author : Jose Rodriguez,Patricio Cortes
Publisher : Wiley-IEEE Press
Page : 246 pages
File Size : 42,5 Mb
Release : 2012-04-30
Category : Technology & Engineering
ISBN : 1119963982

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Predictive Control of Power Converters and Electrical Drives by Jose Rodriguez,Patricio Cortes Pdf

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

Author : Tobias Geyer
Publisher : John Wiley & Sons
Page : 576 pages
File Size : 53,9 Mb
Release : 2017-02-28
Category : Technology & Engineering
ISBN : 9781119010876

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Model Predictive Control of High Power Converters and Industrial Drives by Tobias Geyer Pdf

In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kHz, such as medium-voltage drives and modular multi-level converters. Consisting of two main parts, the first offers a detailed review of three-phase power electronics, electrical machines, carrier-based pulse width modulation, optimized pulse patterns, state-of-the art converter control methods and the principle of MPC. The second part is an in-depth treatment of MPC methods that fully exploit the performance potential of high-power converters. These control methods combine the fast control responses of deadbeat control with the optimal steady-state performance of optimized pulse patterns by resolving the antagonism between the two. MPC is expected to evolve into the control method of choice for power electronic systems operating at low pulse numbers with multiple coupled variables and tight operating constraints it. Model Predictive Control of High Power Converters and Industrial Drives will enable to reader to learn how to increase the power capability of the converter, lower the current distortions, reduce the filter size, achieve very fast transient responses and ensure the reliable operation within safe operating area constraints. Targeted at power electronic practitioners working on control-related aspects as well as control engineers, the material is intuitively accessible, and the mathematical formulations are augmented by illustrations, simple examples and a book companion website featuring animations. Readers benefit from a concise and comprehensive treatment of MPC for industrial power electronics, enabling them to understand, implement and advance the field of high-performance MPC schemes.

Author : Yaofei Han,Chao Gong,Jinqiu Gao
Publisher : Springer Nature
Page : 137 pages
File Size : 49,7 Mb
Release : 2022-02-08
Category : Technology & Engineering
ISBN : 9789811680663

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Model Predictive Control for AC Motors by Yaofei Han,Chao Gong,Jinqiu Gao Pdf

This book introduces how to improve the accuracy and robustness of model predictive control. Firstly, the disturbance observation- and compensation-based method is developed. Secondly, direct parameter identification methods are developed. Thirdly, the seldom-focused-on issues such as sampling and delay problems are solved in this book. Overall, this book solves the problems in a systematic and innovative way. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com

Author : Jose Rodriguez,Patricio Cortes
Publisher : John Wiley & Sons
Page : 243 pages
File Size : 41,9 Mb
Release : 2012-04-09
Category : Technology & Engineering
ISBN : 9781119942641

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Predictive Control of Power Converters and Electrical Drives by Jose Rodriguez,Patricio Cortes Pdf

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

Author : José Rodríguez Pérez
Publisher : Unknown
Page : 0 pages
File Size : 40,7 Mb
Release : 2012
Category : Electric current converters
ISBN : OCLC:1289517388

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Predictive Control of Power Converters and Electrical Drives by José Rodríguez Pérez Pdf

Author : Jacek Kabziński
Publisher : Springer
Page : 378 pages
File Size : 54,5 Mb
Release : 2016-09-30
Category : Technology & Engineering
ISBN : 9783319457352

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Advanced Control of Electrical Drives and Power Electronic Converters by Jacek Kabziński Pdf

This contributed volume is written by key specialists working in multidisciplinary fields in electrical engineering, linking control theory, power electronics, artificial neural networks, embedded controllers and signal processing. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments and successful applications. The presented solutions concentrate on three main areas of interest: · motion control in complex electromechanical systems, including sensorless control; · fault diagnosis and fault tolerant control of electric drives; · new control algorithms for power electronics converters. The chapters and the complete book possess strong monograph attributes. Important practical and theoretical problems are deeply and accurately presented on the background of an exhaustive state-of the art review. Many results are completely new and were never published before. Well-known control methods like field oriented control (FOC) or direct torque control (DTC) are referred as a starting point for modifications or are used for comparison. Among numerous control theories used to solve particular problems are: nonlinear control, robust control, adaptive control, Lyapunov techniques, observer design, model predictive control, neural control, sliding mode control, signal filtration and processing, fault diagnosis, and fault tolerant control.

Author : Alfeu Sguarezi
Publisher : Elsevier
Page : 246 pages
File Size : 54,9 Mb
Release : 2022-01-06
Category : Technology & Engineering
ISBN : 9780323903233

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

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

Author : Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao
Publisher : Springer Nature
Page : 266 pages
File Size : 44,8 Mb
Release : 2019-09-12
Category : Technology & Engineering
ISBN : 9783030245702

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Model Predictive Control of Microgrids by Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao Pdf

The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources – mainly photovoltaic and wind – as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Author : Venkata Yaramasu,Bin Wu
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 51,7 Mb
Release : 2016-12-19
Category : Science
ISBN : 9781118988589

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Model Predictive Control of Wind Energy Conversion Systems by Venkata Yaramasu,Bin Wu Pdf

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.

Author : Venkata Yaramasu,Bin Wu
Publisher : John Wiley & Sons
Page : 512 pages
File Size : 55,7 Mb
Release : 2016-12-14
Category : Science
ISBN : 9781119082965

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Model Predictive Control of Wind Energy Conversion Systems by Venkata Yaramasu,Bin Wu Pdf

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.

Author : Cungang Hu,Wenping Cao
Publisher : Springer Nature
Page : 1326 pages
File Size : 44,8 Mb
Release : 2023-08-02
Category : Technology & Engineering
ISBN : 9789819943340

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Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering by Cungang Hu,Wenping Cao Pdf

This book will be a collection of the conference manuscripts presented at the 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering covering new and renewable energy, electrical and power engineering. It is expected to report the latest technological developments in the fields developed by academic researchers and industrial practitioners. The application and dissemination of these technologies will benefit the research community, as new research directions are becoming increasingly interdisciplinary, requiring researchers from different research areas to come together and share ideas. It will also benefit the electrical engineering and energy industry, as we are now experiencing a new wave of industrial revolution, i.e. the electrification, intelligentisation and digitalisation of our transport, manufacturing processes and way of thinking.

Author : J.A. Rossiter
Publisher : CRC Press
Page : 265 pages
File Size : 46,5 Mb
Release : 2017-07-12
Category : Technology & Engineering
ISBN : 9781351988599

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Model-Based Predictive Control by J.A. Rossiter Pdf

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.

Author : Umar Zakir Abdul Hamid,Ahmad 'Athif Mohd Faudzi
Publisher : BoD – Books on Demand
Page : 110 pages
File Size : 45,7 Mb
Release : 2022-08-17
Category : Technology & Engineering
ISBN : 9781839695902

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Model-Based Control Engineering by Umar Zakir Abdul Hamid,Ahmad 'Athif Mohd Faudzi Pdf

Progress in industrialization and automation engineering is creating many new opportunities in the autonomous systems industry. With the uncertain and highly nonlinear dynamics of the real world where these new technologies will be deployed, a reliable control strategy is necessary. This book provides a high-level discussion on model-based control engineering and its various applications.