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Books on the topic 'Induction motor; Vector control'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Robertson, A. Vector control of induction motors: Sensitivity to parameter variations. Manchester: UMIST, 1994.

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2

Aounis, Abdulmagid. An investigation into induction motor vector control based on reusable VHDL digital architectures and FPGA rapid prototyping. Leicester: De Montfort University, 2002.

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3

Hansen, Irving G. Induction motor control. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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4

Robyns, Benoît, Bruno Francois, Philippe Degobert, and Jean Paul Hautier. Vector Control of Induction Machines. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-901-7.

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5

Marino, Riccardo. Induction motor control design. London: Springer, 2010.

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6

Marino, Riccardo, Patrizio Tomei, and Cristiano M. Verrelli. Induction Motor Control Design. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-284-1.

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7

Senty, Steve. Motor control fundamentals. Australia: Delmar, 2013.

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8

Keli, Shi, ed. Applied intelligent control of induction motor drives. Hoboken, N.J: Wiley, 2011.

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9

Chan, Tze-Fun, and Keli Shi. Applied Intelligent Control of Induction Motor Drives. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2011. http://dx.doi.org/10.1002/9780470825587.

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10

Robyns, Benoit. Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic. London: Springer London, 2012.

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11

Novinschi, Anca. Simulation and implementation of rotor flux control for an induction motor. Leicester: De Montfort University, 1998.

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12

Bird, Ian Gerard. Enhanced direct torque control for high dynamic performance induction motor drives. Birmingham: University of Birmingham, 1998.

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13

Lesan, S. Performance loci of a three-phase induction motor with secondary impedance control. Bradford: University of Bradford, 1988.

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14

Lee, Seung-Ju. Multiple simultaneous specifications (MSS) control design method of a high-speed AC induction motor. Ottawa: National Library of Canada, 2000.

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15

Al-Naamany, Ahmed M. K. Application and development of direct voltage vector control theory and a brushless DC motor. Manchester: UMISt, 1995.

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16

Du, Tan. Joint state-and-parameter estimation of induction-motor drives with application to adaptive field-oriented control. Birmingham: University of Birmingham, 1994.

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17

ZnO bao mo zhi bei ji qi guang, dian xing neng yan jiu. Shanghai Shi: Shanghai da xue chu ban she, 2010.

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18

Zhang, Zaining. Sensorless vector control for induction motors. 1998.

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19

Borisevich, Aleksey. Energy efficient vector control of induction motors: survey and new results. Infra-M Academic Publishing House, 2015. http://dx.doi.org/10.12737/3333.

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20

Electromechanical actuation for thrust vector control applications. [Washington, D.C.]: NASA, 1990.

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21

Marino, Riccardo, Patrizio Tomei, and Cristiano M. Verrelli. Induction Motor Control Design. Springer, 2014.

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22

United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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23

Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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24

United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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25

United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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26

Yarimbiyik, Bulent. Optimal control of an induction motor. 1988.

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27

Chan, Tze Fun, and Keli Shi. Applied Intelligent Control of Induction Motor Drives. Wiley & Sons, Incorporated, John, 2011.

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28

Chan, Tze Fun, and Keli Shi. Applied Intelligent Control of Induction Motor Drives. Wiley & Sons, Incorporated, John, 2011.

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29

Luk, C. K. P. The transputer control of induction motor drives. 1992.

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30

Vaez-Zadeh, Sadegh. Vector Control. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0003.

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The chapter begins with a description of the scalar control of PMS motors. The fundamentals of PMS motor vector control (VC) are then presented with an eye on the analogy with DC motor operating principles. The VC of surface-mounted permanent magnet pole motors and interior permanent magnet (IPM) motors are presented in various reference frames. Current and voltage operating limits are incorporated into the control systems. Flux control modes of operation of PMS motors together with the corresponding control means in different reference frames are also presented in detail, as a particular feature of this book. These include maximum torque per ampere (MTPA) control, maximum torque per voltage control, and unity power factor control. Finally, loss minimization control by offline and online strategies is elaborated after presenting the method of motors loss reduction and the PMS motor loss modeling.
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31

Liang, Darwin Tat Wai. Analysis of induction motor performance with voltage control. Bradford, 1987.

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32

Degobert, Philippe, Benoit Robyns, and Bruno Francois. Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic. Springer, 2012.

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33

Vector Control Of Induction Machines Desensitisation And Optimisation Through Fuzzy Logic. Springer, 2012.

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34

W, Mildice J., and United States. National Aeronautics and Space Administration., eds. Variable-speed induction motor drives for aircraft environmental control compressors. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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35

W, Mildice J., and United States. National Aeronautics and Space Administration., eds. Variable-speed induction motor drives for aircraft environmental control compressors. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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36

Variable-speed induction motor drives for aircraft environmental control compressors. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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37

W, Mildice J., and United States. National Aeronautics and Space Administration., eds. Variable-speed induction motor drives for aircraft environmental control compressors. [Washington, DC]: National Aeronautics and Space Administration, 1996.

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38

Speed sensorless induction motor drives for electrical actuators: Schemes, trends and tradeoffs. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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39

Issa, R. H. An investigation of efficient control strategies for a PWM inverter driven induction motor. 1987.

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40

Alolah, Abdulrahman Ib. Microprocessor controlled three-phase inverter for variable-speed induction motor drive: Development of a microprocessor based logic system for the control of the operation of a three phase, neutral point clamped inverter used to control the speed of a phree-phase induction motor. Bradford, 1986.

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41

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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42

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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43

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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44

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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