Control Of Permanent Magnet Synchronous Motors

Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. The motors have been developed in response to mounting environmental crises and growing electricity prices, and they have enabled the emergence of motor drive applications like those found in electric and hybrid vehicles, fly by wire, and drones. Control of Permanent Magnet Synchronous Motors is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors. It offers a deep and extended analysis, design, implementation, and performance evaluation of major motor control methods, including Vector, Direct Torque, Predictive, Deadbeat, and Combined Control, in a systematic and coherent manner. All major Sensorless Control and Parameter Estimation methods are also studied. The book places great emphasis on energy saving control schemes.

Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. This book is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors.

Permanent magnet synchronous (PMS) motors stand at the forefront of electric motor development due to their energy saving capabilities and performance potential. This book is a timely advancement along that path as the first comprehensive, self-contained, and thoroughly up-to-date book devoted solely to the control of PMS motors.

This book explores the direct thrust force control (DTFC) of tubular surface-mount linear permanent magnet synchronous motors (linear PMSMs). It presents a detailed account and analysis of several advanced nonlinear control schemes, based on the direct thrust control principle, to achieve a reduction in steady-state ripple in thrust force with faster transient response, and describes their experimental validation. It also provides rigorous details of the dynamic modelling of linear PMSMs from a control system perspective, and demonstrates the superior control performance of the proposed techniques compared to the current state-of-the-art techniques. Lastly, the book proposes and validates a stator flux observer for sensorless speed estimation comprising a linear state observer and an improved sliding mode component.

Interest in permanent magnet synchronous machines (PMSMs) is continuously increasing worldwide, especially with the increased use of renewable energy and the electrification of transports. This book contains the successful submissions of fifteen papers to a Special Issue of Energies on the subject area of “Permanent Magnet Synchronous Machines”. The focus is on permanent magnet synchronous machines and the electrical systems they are connected to. The presented work represents a wide range of areas. Studies of control systems, both for permanent magnet synchronous machines and for brushless DC motors, are presented and experimentally verified. Design studies of generators for wind power, wave power and hydro power are presented. Finite element method simulations and analytical design methods are used. The presented studies represent several of the different research fields on permanent magnet machines and electric drives.

Permanent magnet synchronous motors (PMSMs) are popular in the electric vehicle industry due to their high-power density, large torque-to-inertia ratio, and high reliability. This book presents an improved field-oriented control (FOC) strategy for PMSMs that utilizes optimal proportional-integral (PI) parameters to achieve robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. The book covers the combined design of a PI current regulator and varying switching frequency pulse-width modulation (PWM), along with an improved linear model predictive control (MPC) strategy. Researchers and graduate students in electrical engineering, systems and control, and electric vehicles will find this book useful. Features: • Implements evolutionary optimization algorithms to improve PMSM performance. • Provides coverage of PMSM control design in the flux-weakening region. • Proposes a modern method of model predictive control to improve the dynamic performance of interior PMSM. • Studies the dynamic performance of two kinds of PMSMs: surface-mounted and interior permanent magnet types. • Includes several case studies and illustrative examples with MATLAB®. This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles.

Permanent Magnet, Reluctance, and Self-Synchronous Motors discusses the theory, design, and control of permanent magnet materials. The book describes permanent magnets and their applications to electric machines as well as their performance characteristics and limitations. It presents the performance and calculations of PM commutator motors and an approach to their design. Permanent magnet synchronous motors, finite-element calculations, design methodologies, and rectangular and sinusoidal current control are discussed. It presents reluctance motors, their topologies and performance analyses as well as reluctance synchronous motors, with very large rotor saliency ratios, and their vector control. Numerical examples and data of practical interest are provided throughout the book. The book will be very useful to engineers involved in the design and manufacturing of permanent magnet and reluctance motors and high-performance drives, as well as electrical engineering students and educators.

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.