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Books on the topic 'DC motor speed control'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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1

Hu, Xiuyi. Microcontroller-based DC motor speed control system. Ottawa: National Library of Canada, 1993.

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2

Moberg, Gerald A. AC and DC motor control. New York: Wiley, 1987.

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3

Rabadi, Adi. DC motor-harmonic drive torque control with application to robot joints. Ottawa: National Library of Canada, 1993.

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4

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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5

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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6

Cho, David Ming Kei. Multiple simultaneous specification (MSS) control of brushless D.C. motor and high-speed linear positioning system. Ottawa: National Library of Canada, 1999.

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7

Hallmark, Shauna L. Evaluating speed differences between passenger vehicles and heavy trucks for transportation-related emissions modeling. Ames, Iowa: Center for Transportation Research and Education, Iowa State University, 2004.

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8

Geiger, Dana F. Phaselock Loops for Dc Motor Speed Control. Krieger Pub Co, 1993.

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9

ANN Based Sensorless Speed Control of BLDC Motor. Kanyakumari, India: ASDF International, 2017.

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10

Electric Motor Control: DC, AC, and BLDC Motors. Elsevier Science & Technology, 2017.

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11

Durusu, Nezih Y. Brushless DC motors, velocity and position control of the brushless DC motor. 1986.

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12

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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13

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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14

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

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15

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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16

Bidirectional Control of DC Motor by using PI & PWM Controller. Tiruchengode, India: ASDF International, 2017.

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17

Brewster, Edward Y. Control systems for a dual motor high speed motion picture camera. 1985.

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18

Wise, Michael Glynn. Digital phase-locked loop speed control for a brushless d.c. motor. 1985.

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19

Kaushik, Rajashekara, Kawamura Atsuo, and Matsuse Kouki, eds. Sensorless control of AC motor drives: Speed and position sensorless operation. New York: Institute of Electrical and Electronics Engineers, 1996.

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20

(Editor), Kaushik Rajashekara, Atsuo Kawamura (Editor), and Kouki Matsuse (Editor), eds. Sensorless Control of Ac Motor Drives: Speed and Position Sensorless Operation. Ieee, 1996.

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21

Moberg, Gerald A. AC and DC Motor Control with Related Electrical Code Featuring Code Talk. Pearson Education Canada, 2006.

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22

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

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23

Moberg: Tm Instructor'S Manual to Accompany Ac A Nd DC Motor Control (Pr Only). John Wiley & Sons Inc, 1987.

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24

M, Nelms R., Shepherd Michael T, and United States. National Aeronautics and Space Administration., eds. Design of a ZVS PWM inverter for a brushless DC motor in an EMA application. [Washington, DC: National Aeronautics and Space Administration, 1993.

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25

Viki, A. Houshmand. Pulse width modulation (PWM) amplifier and switch mode power supply (SMPS) to control the speed of a DC servomotor. Bradford, 1987.

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26

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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27

MacMillan, Peter Norman. A CSMP communication model for design study of a brushless DC motor power conditioner for a cruise missile fin control actuator. 1985.

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28

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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29

Mahmoud, Moussa El-Sheikh. A microprocessor thyristor-controlled DC drive incorporating regenerative braking: The design, constructionand test of a dc drive, using a microprocessor to provide a fully digital feedback speed control system, with an automatically set duty cycle. Bradford, 1985.

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30

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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31

Bi, Xiaojun, Brian Smith, Tom Ouyang, and Shumin Zhai. Soft Keyboard Performance Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0006.

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Optimization techniques have played a vital role in improving the performance (i.e., input speed and accuracy) of soft keyboards. This chapter introduces the challenges, methodologies, and results of keyboard performance optimization. Leveraging the robust human motor control phenomena manifested in text entry, we used the Metropolis random walk algorithm, and Pareto multi-objective optimization method to optimize the keyboard layout and a soft keyboard decoder. The optimization led to layouts that shorten finger travel distance and improve the input speed as well as accuracy over the Qwerty layout, and a soft keyboard decoder with improved correction and completion ability.
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32

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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33

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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34

Desoete, Annemie. Cognitive Predictors of Mathematical Abilities and Disabilities. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.033.

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The cognitive predictors of mathematical abilities and disabilities/disorders (MD) were investigated. An overview is given of the prediction by early numeracy skills such as Piagetian logical thinking, counting, and number comparison skills. In addition, studies of relationships between language and numeracy in kindergarten and grade 1 are discussed. Moreover, the chapter sought out to extend our knowledge regarding the relationship between motor, visual and visuomotor skills and mathematical abilities and disabilities. Furthermore, the chapter discusses studies of working memory, inhibition, naming speed and inference control as cognitive predictors for mathematical abilities and MD. Finally findings about the sensitivity of number sense for MD are provided.
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