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To reduce the emissions of greenhouse gasses and maintain environmental sustainability, electric vehicles play a vital role in a modern energy-efficient environment. Permanent magnet synchronous motors (PMSMs) are widely employed in electric vehicle technology due to their high dynamic response, better torque-speed characteristics, noiseless operation, high power density, high efficiency and power factor as compared to other conventional motor drives. This book demonstrates the development of various control strategies and illustrates the dynamic performance intensification of a PMSM drive. To ensure the faster dynamic behaviour and flexibility in control under various operating conditions, the performance of a PMSM drive has been explained. Finally, control strategies have been executed through mathematical modelling and illustration of several case studies for optimal operation. Features: Introduces performance indicators in a self-controlled PMSM machine to justify the dynamic behaviour Discusses comparative performance study and optimization of the drive performance Provides a detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive Includes illustrations and case studies using mathematical modelling and real-time test results Discusses the state of the art in solar-powered energy-efficient PMSM drives with various issues This book is aimed at researchers, graduate students and libraries in electrical engineering with specialization in electric vehicles.
"To reduce the emissions of greenhouse gasses and maintain the environmental sustainability electric vehicles create a vital role in a modern energy-efficient environment. Permanent Magnet Synchronous Motors (PMSM) are widely employed in electric vehicle technology due to its high dynamic response, better torque-speed characteristics, noiseless operation, high power density, high efficiency and power factor as compared to other conventional motor drives. This book demonstrates the development of various control strategies and illustration of dynamic performance intensification of a PMSM drive. To ensure the faster dynamic behavior and flexibility in control under various operating conditions, performance of a PMSM drive has been explained. Finally, control strategies have been executed through mathematical modelling and illustration of several case-studies for optimal operation is also included. Features: Introduces performance indicators in a self-controlled PMSM machine to justify the dynamic behavior. Discusses comparative performance study and optimization of the drive performance. Provides detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive. Includes illustrations and case studies using mathematical modeling and real-time test-results. Discusses state of the art on solar powered energy efficient PMSM drive with various issues. This book aims at researchers, graduate students, and libraries in Electrical Engineering with specialization in Electric Vehicles"--
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 Synchronous Motors (PMSMs) have become driving force of various industries. Being high efficiency, high power, low inertia, high steady state starting torque and comparatively simple control methods PMSMs find many applications in traction systems and electric vehicles (EVs). This is the main reason why control strategy research of synchronous motor has attracted a lot of attention. With advancement in power electronics technology and tremendous research over the years on motor control theory, speed control systems of synchronous motor are widely used. Vector Field oriented speed controller that regulates the speed of a PMSM based on Park and Clarke (D-Q transformation) is most famous and widely used to control the speed of various electrical motor drive systems. In this method, a quadrature axis current component developed using speed control provides field oriented vector control. In this project, 400 V four poles, three phase PMSM test bench is simulated using two current controlling techniques – Current Hysteresis Control and Pulse Width Modulation (PWM) control. Based on mathematical equations of PMSM, the dynamic model is designed along with closed loop speed control using traditional proportional-integral-derivative (PID) controller. Also following theory and mathematical equations on Park and Clarke Transformation abc to dq and dq to abc blocks are designed in Simulink. In addition to that, Pulse width modulation (PWM) block and three phase voltage source inverters (VSI) block is designed using Simulink library. As mentioned above simulation using Mathwork’s MATLAB/Simulink package illustrates d-q transformation control of PMSM drive systems using both techniques. Performance of both these techniques is presented along with graphical analysis.
"Permanent magnet synchronous motors (PMSMs) have been used in the field of electric vehicles 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 optimal proportional-integral (PI) parameters for robust stability, faster dynamic response, and higher efficiency in the flux-weakening region. Combined design of a PI current regulator and a varying switching frequency PWM is presented, including improved linear model predictive control (MPC) control strategy. This book is aimed at researchers and graduate students in electrical Engineering, systems and control, and electric vehicles. Features: Implements evolutionary optimization algorithms are directly implemented to improve Permanent Magnet Synchronous Machines (PMSM) performance. Provides coverage of PMSM control design in the flux weakening region. Proposes a modern control method of model predictive control is proposed to improve the dynamic performance of interior PMSM. Studies the dynamic performance of two kinds of the PMSMs that of surface mounted and interior permanent magnet types. Includes several case studies and illustrative examples with MATLABa. This book is aimed at researchers, graduate students, and libraries in electrical engineering with specialization in systems and control and electric vehicles"--
"As the motor consumes more than 50% of total electrical energy produced in the world, the efficiency optimization of the motor is a burning issue in terms of saving energy and the environment. In modern days researchers display immense interest in the control of a high performing interior permanent magnet synchronous motors (IPMSM) drive for general industrial applications. The IPMSM is largely used in low and medium power applications such as adjustable speed drives, robotics, aerospace and electric vehicles due to its several advantageous features such as high power density, greater flux weakening capability, high output torque, high power factor, low noise, robustness and high efficiency as compared to the dc motors and induction motors (IM). Nevertheless, its high efficiency characteristics are influenced by applied control strategies. Most of the reported works developed control algorithms for IPMSM to achieve high performance. However, the efficiency optimization of IPMSM, which is one of the important aspects is often ignored. Therefore, in this thesis the efficiency optimization issues is also considered along with high performance control.
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.
A timely comprehensive reference consolidates the research and development of electric vehicle machines and drives for electric and hybrid propulsions • Focuses on electric vehicle machines and drives • Covers the major technologies in the area including fundamental concepts and applications • Emphasis the design criteria, performance analyses and application examples or potentials of various motor drives and machine systems • Accompanying website includes the simulation models and outcomes as supplementary material