Optimization and Control of Electrical Machines

Optimization and Control of Electrical Machines PDF Author: Abdel Ghani Aissaoui
Publisher: BoD – Books on Demand
ISBN: 1789234522
Category : Science
Languages : en
Pages : 100

Book Description
Electrical machines are used in the process of energy conversion in the generation, transmission and consumption of electric power. In addition to this, electrical machines are considered the main part of electrical drive systems. Electrical machines are the subject of advanced research. In the development of an electrical machine, the design of its different structures is very important. This design ensures the robustness, energy efficiency, optimal cost and high reliability of the system. Using advanced techniques of control and new technology products has brought electrical machines into their optimal functioning mode. Different techniques of control can be applied depending on the goals considered. The aim of this book is to present recent work on the design, control and applications of electrical machines.

Optimization and Control of Electrical Machines

Optimization and Control of Electrical Machines PDF Author: Ilhami Colak
Publisher:
ISBN: 9781789234534
Category : Mechanical engineering and machinery
Languages : en
Pages : 98

Book Description
Electrical machines are used in the process of energy conversion in the generation, transmission and consumption of electric power. In addition to this, electrical machines are considered the main part of electrical drive systems. Electrical machines are the subject of advanced research. In the development of an electrical machine, the design of its different structures is very important. This design ensures the robustness, energy efficiency, optimal cost and high reliability of the system. Using advanced techniques of control and new technology products has brought electrical machines into their optimal functioning mode. Different techniques of control can be applied depending on the goals considered. The aim of this book is to present recent work on the design, control and applications of electrical machines.

Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems PDF Author: Gang Lei
Publisher: Springer
ISBN: 3662492717
Category : Technology & Engineering
Languages : en
Pages : 251

Book Description
This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

Practical Control of Electric Machines for EV/HEVs

Practical Control of Electric Machines for EV/HEVs PDF Author: Shuiwen Shen
Publisher: Springer Nature
ISBN: 3031381610
Category : Technology & Engineering
Languages : en
Pages : 337

Book Description
Upon the ongoing profound revolution in the automotive industry, this book is primarily intended to give guidance on the practical design of traction motor control for pure electric vehicles (EVs) and hybrid electric vehicles (HEVs). An overview of the state-of-the-art motor types is provided to help understanding the background of automotive motor drives and the EV/HEV motor control specifications. Using AC induction motor control as a benchmark example, it addresses the motor control techniques by means of design, analysis, examples with MATLAB scripts wherever applicable, and practical control software architecture diagrams. In particular, an extensive analysis and discussion are made on the widely used vector control method together with multiple optimization schemes. As such, it gives coverage of the electric traction control including dynamics, efficiency, and the high-speed power capability, taking into account the constraints of vehicle configuration and requirements. The vector control and optimization strategies presented in this book can be ported across to other AC motor types without losing much generality. This book tries to bridge the gap between theory and practicality. Beginning with basic motor theory and completing the motor control design by introducing voltage source inverter (VSI) pulse width modulation (PWM) techniques, it helps the reader take a step-by-step approach from understanding fundamental motor characteristics through to practical design of in-depth motor control strategies.

Electric Machines and Drives

Electric Machines and Drives PDF Author: Shaahin Filizadeh
Publisher: CRC Press
ISBN: 1466599421
Category : Technology & Engineering
Languages : en
Pages : 232

Book Description
Electric machines have a ubiquitous presence in our modern daily lives, from the generators that supply electricity to motors of all sizes that power countless applications. Providing a balanced treatment of the subject, Electric Machines and Drives: Principles, Control, Modeling, and Simulation takes a ground-up approach that emphasizes fundamental principles. The author carefully deploys physical insight, mathematical rigor, and computer simulation to clearly and effectively present electric machines and drive systems. Detailing the fundamental principles that govern electric machines and drives systems, this book: Describes the laws of induction and interaction and demonstrates their fundamental roles with numerous examples Explores dc machines and their principles of operation Discusses a simple dynamic model used to develop speed and torque control strategies Presents modeling, steady state based drives, and high-performance drives for induction machines, highlighting the underlying physics of the machine Includes coverage of modeling and high performance control of permanent magnet synchronous machines Highlights the elements of power electronics used in electric drive systems Examines simulation-based optimal design and numerical simulation of dynamical systems Suitable for a one semester class at the senior undergraduate or a graduate level, the text supplies simulation cases that can be used as a base and can be supplemented through simulation assignments and small projects. It includes end-of-chapter problems designed to pick up on the points presented in chapters and develop them further or introduce additional aspects. The book provides an understanding of the fundamental laws of physics upon which electric machines operate, allowing students to master the mathematical skills that their modeling and analysis requires.

Control and Optimization Methods for Electric Smart Grids

Control and Optimization Methods for Electric Smart Grids PDF Author: Aranya Chakrabortty
Publisher: Springer Science & Business Media
ISBN: 1461416043
Category : Technology & Engineering
Languages : en
Pages : 377

Book Description
In this book, leading experts in power, control and communication systems discuss the most promising recent research in smart grid modeling, control and optimization. The book goes on to the foundation for future advances in this critical field of study.

Electric Machines for Smart Grids Applications

Electric Machines for Smart Grids Applications PDF Author: Adel El-Shahat
Publisher: BoD – Books on Demand
ISBN: 1789845963
Category : Technology & Engineering
Languages : en
Pages : 272

Book Description
In this book, highly qualified scientists present their recent research motivated by the importance of electric machines. It addresses advanced studies for high-speed electrical machine design, mechanical design of rotors with surface-mounted permanent magnets, design of motor drive for brushless DC motor, single-phase motors for household applications, battery electric propulsion systems for competition racing applications, robust diagnosis by observer using the bond graph approach, a DC motor simulator based on virtual instrumentation, start-up of a PID fuzzy logic embedded control system for the speed of a DC motor using LabVIEW, advanced control of the permanent magnet synchronous motor and optimization of fuzzy logic controllers by particle swarm optimization to increase the lifetime in power electronic stages.

Analysis and Mathematical Models of Canned Electrical Machine Drives

Analysis and Mathematical Models of Canned Electrical Machine Drives PDF Author: Qiang Yu
Publisher: Springer
ISBN: 9811327459
Category : Technology & Engineering
Languages : en
Pages : 221

Book Description
This book focuses on the electromagnetic and thermal modeling and analysis of electrical machines, especially canned electrical machines for hydraulic pump applications. It addresses both the principles and engineering practice, with more weight placed on mathematical modeling and theoretical analysis. This is achieved by providing in-depth studies on a number of major topics such as: can shield effect analysis, machine geometry optimization, control analysis, thermal and electromagnetic network models, magneto motive force modeling, and spatial magnetic field modeling. For the can shield effect analysis, several cases are studied in detail, including classical canned induction machines, as well as state-of-the-art canned permanent magnet machines and switched reluctance machines. The comprehensive and systematic treatment of the can effect for canned electrical machines is one of the major features of this book, which is particularly suited for readers who are interested in learning about electrical machines, especially for hydraulic pumping, deep-sea exploration, mining and the nuclear power industry. The book offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical machines, magnetic and thermal engineering, etc.

Control Methods for Electrical Machines

Control Methods for Electrical Machines PDF Author: Rene Husson
Publisher: John Wiley & Sons
ISBN: 1118617479
Category : Science
Languages : en
Pages : 286

Book Description
The type of control system used for electrical machines depends on the use (nature of the load, operating states, etc.) to which the machine will be put. The precise type of use determines the control laws which apply. Mechanics are also very important, because they affect performance. Another factor of essential importance in industrial applications is operating safety. Finally, the problem of how to control a number of different machines, whose interactions and outputs must be coordinated, is addressed and solutions are presented. These and other issues are addressed here by a range of expert contributors, each of whom are specialists in their particular field. This book is primarily aimed at those involved in complex systems design, but engineers in a range of related fields such as electrical engineering, instrumentation and control, and industrial engineering, will also find this a useful source of information.

Computer-aided Design of Electrical Machines

Computer-aided Design of Electrical Machines PDF Author: Armin Salimi
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
"The role of computers in the design of electrical machines has been a subject of interest to many designers and researchers in the field. As processing units become stronger, it becomes possible for computers to assist in and take over more parts of the design procedure. Since the goal in designing electrical machines is to have a device that operates at maximum possible performance, and since the number of performance parameters is usually greater than one, it is a popular approach to formulate the design of an electrical machine, or parts of it, as a multi-criterion optimization problem. These problems are usually solved with the help of simulation models, numerical methods, and optimization algorithms. In this thesis, two important topics in multi-objective design optimization of electrical machines have been the focus of study.The first issue pertains to the lack of infinite precision in manufacturing and difficulty in controlling the environment of operation. These undesirable factors cause the performance of a design to deviate from its nominal or previously calculated values. This is an important issue in many, if not all, engineering design problems and electric machines are not exempt. Since limiting the impact of these factors on a manufactured device is usually very costly, one that is inherently less sensitive to these effects is sought in the design process. This lack of sensitivity is referred to as robustness, and a higher degree of robustness is always more desirable in an engineering design.In this research work, a metric for quantifying robustness in multi-objective problems has been developed. Additionally, a new role for robustness in the process of optimization, with the goal of finding acceptable trade-offs between the robustness and the performance objectives of a design, is introduced. Several artificial and electromagnetic test problems have been used in order to analyze the performance of the proposed methodologies.The second topic visited in the context of this thesis is the use of statistical analysis techniques in the process of multi-criterion design optimization. In recent decades, with masses of data becoming available in different fields, machine learning and data mining techniques have gained a lot of application. These techniques are used to extract information for artificial intelligence units and provide knowledge to users. Since most of these techniques require large amounts of data to work with, using them in the design of electrical machines was infeasible in the past. But recently, with the processing power of computers growing significantly, it has become possible to simulate large numbers of designs. Furthermore, such databases are usually created when performing optimization on machine design problems.Subsequently, the application of a few machine learning and data mining techniques for facilitating the process of design optimization of electrical machines is studied in this dissertation. It is demonstrated how information regarding the location and the innate dimensionality of the optima in the design space can be extracted and transferred to similar problems. Additionally, the validity of this information transfer strategy has been assessed. Moreover, it is shown how these techniques can help the user in the process of design space exploration and decision making. In this part, two electric machine design cases are used as test beds and the results are presented and explained." --