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1

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

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2

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

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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

Servo motor and motion control using digital signal processors. Englewood Cliffs, N.J: Prentice Hall, 1990.

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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

Tahirovic, Adnan. Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning. London: Springer London, 2013.

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7

International Motorcon Conference. (13th 1988 Dearborn, Michigan). Official proceedings of the thirteenth International MOTOR-CON '88 Conference, October 3-6, 1988, Dearborn, Michigan. Ventura, Calif: Intertec, 1988.

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8

International Motorcon Conference. (12th 1988 Munich, West Germany). Official proceedings of the twelth International MOTOR-CON '88 conference, June 6-9, 1988, Munich, West Germany. Ventura, Calif: Intertec, 1988.

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9

Meyners, Eckart. Rider Fitness: Body & brain--180 anytime, anywhere workouts to enhance range of motion, motor control, reaction time, flexibility, balance, and muscle memory. North Pomfret, Vt: Trafalgar Square Books, 2011.

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10

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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11

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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12

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

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13

Perception & control of self-motion. Hillsdale, N.J: L. Erlbaum, 1990.

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14

Rik, Warren, and Wertheim Alexander H, eds. Perception & control of self-motion. Hillsdale, N.J: L. Erlbaum Assoc., 1990.

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15

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

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16

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

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17

Luc, Proteau, and Elliott Digby 1950-, eds. Vision and motor control. Amsterdam: North-Holland, 1992.

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18

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

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19

Wolf, Adam. Real Movement: Perspective on Integrated Motion & Motor Control. Golden Mango Press, 2016.

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20

Motor Con 88. Intertec Intl, 1988.

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21

Gurocak, Hakan. Industrial Motion Control: Motor Selection, Drives, Controller Tuning, Applications. Wiley & Sons, Incorporated, John, 2016.

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22

Gurocak, Hakan. Industrial Motion Control: Motor Selection, Drives, Controller Tuning, Applications. Wiley & Sons, Incorporated, John, 2015.

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23

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

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24

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

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25

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

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26

(Firm), Motor Tech Trends, ed. DC brushless motion technology: A U.S. market and technical forecast, 1986-1991. [United States]: Motor Tech Trends, 1987.

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27

Dynamic Vision for Perception and Control of Motion. Springer, 2007.

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28

Xiao, Hansong, Qidong Wang, Wuwei Chen, Linfeng Zhao, and Maofei Zhu. Integrated Vehicle Dynamics and Control. Wiley, 2016.

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29

Xiao, Hansong, Qidong Wang, Wuwei Chen, Linfeng Zhao, and Maofei Zhu. Integrated Vehicle Dynamics and Control. Wiley & Sons, Incorporated, John, 2016.

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30

Xiao, Hansong, Qidong Wang, Wuwei Chen, Linfeng Zhao, and Maofei Zhu. Integrated Vehicle Dynamics and Control. Wiley & Sons, Incorporated, John, 2016.

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31

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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32

Advanced Motion Control and Sensing for Intelligent Vehicles. Springer, 2007.

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33

Wang, Fei-Yue, and Li Li. Advanced Motion Control and Sensing for Intelligent Vehicles. Springer, 2010.

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34

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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35

Mason, Peggy. From Movement to Action. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0023.

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Tracts descending from motor control centers in the brainstem and cortex target motor interneurons and in select cases motoneurons. The mechanisms and constraints of postural control are elaborated and the effect of body mass on posture discussed. Feed-forward reflexes that maintain posture during standing and other conditions of self-motion are described. The role of descending tracts in postural control and the pathological posturing is described. Pyramidal (corticospinal and corticobulbar) and extrapyramidal control of body and face movements is contrasted. Special emphasis is placed on cortical regions and tracts involved in deliberate control of facial expression; these pathways are contrasted with mechanisms for generating emotional facial expressions. The signs associated with lesions of either motoneurons or motor control centers are clearly detailed. The mechanisms and presentation of cerebral palsy are described. Finally, understanding how pre-motor cortical regions generate actions is used to introduce apraxia, a disorder of action.
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