Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Low Complexity Model Predictive Control In Power Electronics And Power Systems PDF full book. Access full book title Low Complexity Model Predictive Control In Power Electronics And Power Systems.
| Author | : Tobias Geyer |
| Publisher | : Cuvillier Verlag |
| Total Pages | : 315 |
| Release | : 2005 |
| Genre | : |
| ISBN | : 3865374344 |
| Author | : Tobias Geyer |
| Publisher | : John Wiley & Sons |
| Total Pages | : 740 |
| Release | : 2017-02-28 |
| Genre | : Technology & Engineering |
| ISBN | : 111901087X |
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 | : Frank Christophersen |
| Publisher | : Springer |
| Total Pages | : 196 |
| Release | : 2007-09-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3540727019 |
One of the most important and challenging problems in control is the derivation of systematic tools for the computation of controllers for constrained nonlinear systems that can guarantee closed-loop stability, feasibility, and optimality with respect to some performance index. This book focuses on the efficient and systematic computation of closed-form optimal controllers for the powerful class of fast-sampled constrained piecewise affine systems. These systems may exhibit rather complex behavior and are equivalent to many other hybrid system formalisms (combining continuous-valued dynamics with logic rules) reported in the literature. Furthermore, piecewise affine systems are a useful modeling tool that can capture general nonlinearities (e.g. by local approximation), constraints, saturations, switches, and other hybrid modeling phenomena. The first part of the book presents an introduction to the mathematical and control theoretical background material needed for the full understanding of the book. The second part provides an in depth look at the computational and control theoretic properties of the controllers and part three presents different analysis and post-processing techniques.
| Author | : Ricardo S. Sánchez-Peña |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 330 |
| Release | : 2007-06-28 |
| Genre | : Science |
| ISBN | : 1846288991 |
This book meets head-on the difficulty of making practical use of new systems theory, presenting a selection of varied applications together with relevant theory. It shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; experimental results; and a section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical.
| Author | : Tobias Geyer |
| Publisher | : Wiley |
| Total Pages | : 576 |
| Release | : 2016-10-25 |
| Genre | : Technology & Engineering |
| ISBN | : 9781119011613 |
| Author | : Jose Rodriguez |
| Publisher | : Wiley-IEEE Press |
| Total Pages | : 246 |
| Release | : 2012-04-30 |
| Genre | : Technology & Engineering |
| ISBN | : 9781119963981 |
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 | : Basil Kouvaritakis |
| Publisher | : Springer |
| Total Pages | : 387 |
| Release | : 2015-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3319248537 |
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stochastic model uncertainty. The book provides: extensive use of illustrative examples; sample problems; and discussion of novel control applications such as resource allocation for sustainable development and turbine-blade control for maximized power capture with simultaneously reduced risk of turbulence-induced damage. Graduate students pursuing courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment will find Model Predictive Control an invaluable guide to the state of the art in this important subject. For the instructor it provides an authoritative resource for the construction of courses.
| Author | : Weijiang Chen |
| Publisher | : Springer Nature |
| Total Pages | : 879 |
| Release | : 2021-04-20 |
| Genre | : Technology & Engineering |
| ISBN | : 9813366095 |
This book includes the original, peer-reviewed research papers from the 9th Frontier Academic Forum of Electrical Engineering (FAFEE 2020), held in Xi’an, China, in August 2020. It gathers the latest research, innovations, and applications in the fields of Electrical Engineering. The topics it covers including electrical materials and equipment, electrical energy storage and device, power electronics and drives, new energy electric power system equipment, IntelliSense and intelligent equipment, biological electromagnetism and its applications, and insulation and discharge computation for power equipment. Given its scope, the book benefits all researchers, engineers, and graduate students who want to learn about cutting-edge advances in Electrical Engineering.
| Author | : Mahmoud K. Abdelhamid |
| Publisher | : CRC Press |
| Total Pages | : 212 |
| Release | : 2023-12-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1003832156 |
Advanced Controls for Wind Driven Doubly Fed Induction Generators discusses the most advanced control algorithms used for enhancing the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds, and which are used for different utilization purposes (standalone and grid connection). Extensive generator performance analysis has been introduced using various control topologies. Features: Presents modeling of wind energy conversion systems (WECS), including a wind turbine as a prime mover, a DFIG as a generation unit for electrical energy, and a three-phase induction motor as an isolated load Explores a detailed description for the presented control algorithms in order to visualize the base principle of each method Introduces a comprehensive performance analysis for the DFIG using the formulated predictive voltage control scheme and other control techniques under different operating conditions Examines the formulation of new control approaches which overcome the shortages present in previous DFIG control schemes Presents a detailed comparison between different control topologies for the DFIG to outline the most effective procedure in terms of dynamic response, structure simplicity, ripples, total harmonic distortion, and computational burdens The book is written for researchers and academics working on advanced control systems and those interested in areas such as machine drives, renewable energy systems, 'adaptive control', modeling of WECS, and optimization theory.
| Author | : Ersan Kabalci |
| Publisher | : Academic Press |
| Total Pages | : 278 |
| Release | : 2021-02-14 |
| Genre | : Technology & Engineering |
| ISBN | : 0128232390 |
Multilevel Inverters: Topologies, Control Methods, and Applications investigates modern device topologies, control methods, and application areas for the rapidly developing conversion technology. The device topologies section begins with conventional two-level inverter topologies to provide a background on the DC-AC power conversion process and required circuit configurations. Thereafter, multilevel topologies originating from neutral point clamped topologies are presented in detail. The improved and inherited regular multilevel topologies such as flying capacitor and conventional H-bridge topology are presented to illustrate the multilevel concept. Emerging topologies are introduced regarding application areas such as renewable energy sources, electric vehicles, and power systems. The book goes on to discuss fundamental operational principles of inverters using the conventional pulse width modulated control method. Current and voltage based closed loop control methods such as repetitive control, space vector modulation, proportional resonant control and other recent methods are developed. Core modern applications including wind energy, photovoltaics, microgrids, hybrid microgrids, electric vehicles, active filters, and static VAR compensators are investigated in depth. Multilevel Inverters for Emergent Topologies and Advanced Power Electronics Applications is a valuable resource for electrical engineering specialists, smart grid specialists, researchers on electrical, power systems, and electronics engineering, energy and computer engineers. Reviews mathematical modeling and step-by-step simulation examples, straddling both basic and advanced topologies Assesses how to systematically deploy and control multilevel power inverters in application scenarios Reviews key applications across wind energy, photovoltaics, microgrids, hybrid microgrids, electric vehicles, active filters, static VAR compensators
