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1

Nasar, S. A. Permanent magnet, reluctance, andself-synchronous motors. Boca Raton: CRC Press, 1993.

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2

I, Boldea, and Unnewehr L. E. 1925-, eds. Permanent magnet, reluctance, and self-synchronous motors. Boca Raton: CRC Press, 1993.

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3

R, Krishnan. Permanent magnet synchronous and brushless DC motors. Boca Raton: Taylor & Francis, 2010.

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4

R, Krishnan. Permanent magnet synchronous and brushless DC motor drives. Boca Raton: CRC Press/Taylor & Francis, 2010.

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5

Krishnan, R. Permanent magnet synchronous and brushless DC motor drives. Boca Raton: Taylor & Francis, 2010.

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6

Salminen, Pia. Fractional slot permanent magnet synchronous motors for low speed applications. Digipaino: Lappeenrannan teknillinen yliopisto, 2004.

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7

Luukko, Julius. Direct torque control of permanent magnet synchronous machines-analysis and implementation. Lappeenranta, Finland: Lappeenranta University of Technology, 2000.

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8

Pellegrino, Gianmario, Thomas M. Jahns, Nicola Bianchi, Wen Soong, and Francesco Cupertino. The Rediscovery of Synchronous Reluctance and Ferrite Permanent Magnet Motors. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32202-5.

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9

Heikkila, Tanja. Permanent magnet synchronous motor for industrial inverter applications-analysis and design. Lappeenranta, Finland: Lappeenranta University of Technology, 2002.

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10

J, Piech Zbigniew, and Tomczuk Bronisław Zbigniew, eds. Linear synchronous motors: Transportation and automation systems. 2nd ed. Boca Raton: Taylor & Francis, 2012.

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11

Vaez-Zadeh, Sadegh. Control of Permanent Magnet Synchronous Motors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.001.0001.

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This is the first comprehensive, coherent, and up-to-date book devoted solely to the control of permanent magnet synchronous (PMS) motors, as the fastest growing AC motor. It covers a deep and detailed presentation of major PMS motor modeling and control methods. The readers can find rich materials on the fundamentals of PMS motor control in addition to new motor control methods, which have mainly been developed in the last two decades, including recent advancements in the field in a systematic manner. These include extensive modeling of PMS motors and a full range of vector control and direct torque control schemes, in addition to predictive control, deadbeat control, and combined control methods. All major sensorless control and parameter estimation methods are also studied. The book covers about 10 machine models in various reference frames and 70 control and estimation schemes with sufficient analytical and implementation details including about 200 original figures. A great emphasis is placed on energy-saving control schemes. PMS motor performances under different control systems are presented by providing simulation and experimental results. The past, present, and future of the PMS motor market are also discussed. Each chapter concludes with end-chapter problems and focussed bibliographies. It is an essential source for anyone working on PMS motors in academic and industry sectors. The book can be used as a textbook with the first four chapters for a primary graduate course and the final three chapters for an advanced course. It is also a crucial reading for researchers, design engineers, and experts in the field.
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12

Vaez-Zadeh, Sadegh. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0001.

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An overview of permanent magnet synchronous (PMS) motors and the related control system are presented in this chapter as introductory materials for the rest of the book. The interconnections of the control system to the power electronic inverter and the motor are emphasized. In addition, the major parts of the system are overviewed. Pulse width-modulated voltage source inverter, as the most commonly used power converter in PMS motor drives, is briefly discussed. PMS motors configurations and operating principles are also presented after considering characteristics of permanent magnet materials. Major PMS motor control methods including vector control, direct torque control, predictive control, deadbeat control, and combined vector and direct torque control are briefly reviewed. Finally, several rotor position and speed estimation schemes, and offline and online parameter estimation methods are overviewed.
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13

Vaez-Zadeh, Sadegh. Predictive, Deadbeat, and Combined Controls. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0005.

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In this chapter, three control methods recently developed for or applied to electric motors in general and to permanent magnet synchronous (PMS) motors, in particular, are presented. The methods include model predictive control (MPC), deadbeat control (DBC), and combined vector and direct torque control (CC). The fundamental principles of the methods are explained, the machine models appropriate to the methods are derived, and the control systems are explained. The PMS motor performances under the control systems are also investigated. It is elaborated that MPC is capable of controlling the motor under an optimal performance according to a defined objective function. DBC, on the other hand, provides a very fast response in a single operating cycle. Finally, combined control produces motor dynamics faster than one under VC, with a smoother performance than the one under DTC.
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14

Vaez-Zadeh, Sadegh. Direct Torque Control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0004.

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The fundamental principles of direct torque control (DTC) of permanent magnet synchronous (PMS) motors are presented in this chapter. The basic DTC system is then described. The operating limits of PMS machines under DTC are presented in terms of current limit, voltage limit, and flux linkage limit. Also, flux linkage control, including maximum torque per ampere (MTPA), unity power factor, and flux weakening at high speed, is derived. Then, alternative DTC schemes, including different SVM-DTC schemes, are presented. In line with the increasing energy-saving tendency in industrial applications, major emphasis is placed on the loss minimization of DTC. Finally, a comprehensive comparison was made between the basic DTC and vector control, emphasizing the pros and cons of DTC with respect to vector control.
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15

Vaez-Zadeh, Sadegh. Control of Permanent Magnet Synchronous Motors. Oxford University Press, 2017.

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16

Mi, Chunting. Modelling of iron losses of permanent magnet synchronous motors. 2001.

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17

Permanent Magnet Synchronous and Brushless Dc Motors (Mechanical Engineering (Marcel Dekker)). CRC, 2008.

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18

Vaez-Zadeh, Sadegh. Parameter Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0007.

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In this chapter, the estimation of permanent magnetic synchronous (PMS) motor parameters, including stator winding resistance, motor inductances, and magnitude of permanent magnet flux linage, is presented in two main categories, i.e., offline and online. Several offline schemes, including DC and AC standstill tests, no-load test, load test, and vector control schemes, are presented for estimation of all the motor parameters. Major online schemes used in the estimation of PMS motor parameters are also presented in this chapter. They include closed-loop observer-based estimation, model reference adaptive system (MRAS)-based estimation, recursive least-squares (RLS) estimation, and extended Kalman filter scheme. The online schemes take into account the motor parameter variations during motor operation. The motor model, estimation procedure, and the connection of estimation systems to the motor control system are discussed for each parameter estimation scheme.
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19

Sebastian, Tomy. Steady-state performance of variable speed permanent magnet synchronous motors. 1987.

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20

Vaez-Zadeh, Sadegh. Machine Modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0002.

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This chapter presents dynamic and steady-state modeling of permanent magnet synchronous (PMS) machines with the help of reference frames. The modeling starts with a machine model in terms of phase variables. An equivalent two-axis model in a stationary reference is then obtained by a reference frame transformation. A further transformation to a two-axis rotor reference frame, with its direct axis aligned with the axis of a permanent magnet rotor pole, is derived. Another transformation to a two-axis stator flux linkage reference frame is also presented. Finally, a motor model in polar coordinates, based on space vector theory, is developed. In this chapter, PMS motor equivalent circuits are drawn, based on the mathematical models where appropriate. Iron losses and iron saturation are also taken into the models. The chapter ends with a brief presentation of the dynamic equation of PMS machines mechanical parts.
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21

Piech, Zbigniew J., and Jacek F. Gieras. Linear Synchronous Motors: Transportation and Automation Systems. CRC, 1999.

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22

J, Piech Zbigniew, and Gieras Jacek F, eds. Linear synchronous motors: Transportation and automation systems. Boca Raton, Fla: CRC Press, 2000.

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23

Hanselman, Duane. Brushless motors: Magnetic design, performance, and control of brushless dc and permanent magnet synchronous motors. E-Man Press LLC, 2012.

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24

Linear Synchronous Motors: Transportation and Automation Systems, Second Edition. Taylor & Francis Group, 2017.

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25

Vaez-Zadeh, Sadegh. Rotor Position and Speed Estimation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0006.

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The ultimate importance of rotor position and speed information in permanent magnet synchronous (PMS) machines control, and the industry interest to the rotor and speed sensorless systems as a cost-saving and practical alternative to the motor control with mechanical sensors are emphasized. Major position and speed estimation schemes are then presented in detail. These are the: back electromotive force (EMF)-based method; flux linkage method; hypothesis rotor position method; saliency-based method, including high frequency signal injection and inverter switching harmonics schemes; and finally, the observer-based method, including state observer and extended Kalman filter-based schemes. Each scheme was discussed by presenting the corresponding fundamental principles, followed by the appropriate motor model, estimation procedure, and the implementation. Demanding criteria such as accuracy, robustness, swiftness, and capability of working over the entire range of motor operation are discussed with each method.
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