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1

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

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2

Farshadnia, Mohammad. Advanced Theory of Fractional-Slot Concentrated-Wound Permanent Magnet Synchronous Machines. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8708-0.

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3

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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4

Permanent Magnet Synchronous Machines. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03921-351-1.

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5

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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6

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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7

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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8

Aiyappa, Rekha. Sensored (Encoder-Based) Field Oriented Control of Three-Phase Permanent Magnet Synchronous Motor (PMSM). Microchip Technology Incorporated, 2018.

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9

Yang, Ada. Sensored (Encoder-Based) Field Oriented Control of Three-Phase Permanent Magnet Synchronous Motor (PMSM). Microchip Technology Incorporated, 2019.

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10

Farshadnia, Mohammad. Advanced Theory of Fractional-Slot Concentrated-Wound Permanent Magnet Synchronous Machines. Springer, 2018.

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11

Farshadnia, Mohammad. Advanced Theory of Fractional-Slot Concentrated-Wound Permanent Magnet Synchronous Machines. Springer, 2018.

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12

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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13

Aiyappa, Rekha. Sensorless Field Oriented Control (FOC) for a Permanent Magnet Synchronous Motor (PMSM) Using a PLL Estimator and Equation-Based Flux Weakening (FW). Microchip Technology Incorporated, 2018.

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14

Aiyappa, Rekha. Sensorless Field Oriented Control (FOC) for a Permanent Magnet Synchronous Motor (PMSM) Using a PLL Estimator and Equation-Based Flux Weakening (FW) An. Microchip Technology Incorporated, 2017.

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15

Aiyappa, Rekha. Sensorless Field Oriented Control (FOC) for a Permanent Magnet Synchronous Motor (PMSM) Using a PLL Estimator and Equation-Based Flux Weakening (FW) An. Microchip Technology Incorporated, 2017.

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16

Yang, Ada. Sensorless Field Oriented Control (FOC) for a Permanent Magnet Synchronous Motor (PMSM) Using a PLL Estimator and Equation-Based Flux Weakening (FW) An. Microchip Technology Incorporated, 2018.

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