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Relevant bibliographies by topics / Motor control

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Academic literature on the topic 'Motor control'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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Journal articles on the topic "Motor control"

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Lahase, Mahesh, Ashish Gupta, and Pradip Maske. "Agricultural Motor Control and Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 398–400. http://dx.doi.org/10.31142/ijtsrd10882.

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Nurdamayanti, Nurdamayanti, Linda Sartika, and Abdul Muis Prasetia. "BRUSHLESS DIRECT CURRENT (BLDC) MOTOR SPEED CONTROL USING FIELD ORIENTED CONTROL (FOC) METHOD." Jurnal Edukasi Elektro 6, no. 2 (November 30, 2022): 143–48. http://dx.doi.org/10.21831/jee.v6i2.52234.

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ABSTRACTBrushless DC motors or commonly known as BLDC motors are starting to be widely used in the automotive and industrial fields compared to three-phase induction motors. This is because the advantages of BLDC motors are high efficiency, large torque, and easy maintenance. Some drive systems that use BLDC motors require a constant motor speed. However, when the drive system is given more load, the speed will decrease. Therefore, we need a motor speed regulation so that the speed becomes constant even though it is given an overload. There are many ways to adjust the speed of a BLDC motor, one of which is using the Field Oriented Control method because it can adjust the field current and armature current separately. From the simulation results, the speed of the BLDC motor using the FOC method in the loaded condition, showed a better response by producing a steady state of 1494 rpm, a rise time of 0.5192 s, a settling time of 0.6362 s while not being given a load, a steady state of 1504 rpm and, a rise time of 0.533 s and a settling time of 0.64 s.ABSTRAKMotor Brushless DC atau biasa dikenal dengan motor BLDC mulai banyak digunakan pada bidang otomotif dan industri dibandingkan dengan motor induksi tiga fasa. Hal ini disebabkan karena kelebihan dari motor BLDC adalah memiliki efisiensi tinggi, torsi yang besar, dan perawatan mudah. Beberapa sistem penggerak yang menggunakan motor BLDC membutuhkan kecepatan motor yang konstan. Akan tetapi sistem penggerak tersebut ketika diberi beban lebih maka kecepatan akan menurun. Oleh karena itu dibutuhkan suatu pengaturan kecepatan motor agar kecepatan menjadi konstan walaupun diberi beban lebih. Banyak cara untuk mengatur kecepatan motor BLDC salah satunya adalah menggunakan metode Field Oriented Control karena dapat mengatur antara arus medan dan arus jangkar secara terpisah. Dari hasil simulasi didapatkan kecepatan motor BLDC menggunakan metode FOC pada kondisi berbeban, menunjukkan respon yang lebih baik dengan menghasilkan steady state yaitu 1494 rpm, rise time 0.5192 s, settling time 0.6362 s sedangkan tidak diberi beban didapatkan steady state sebesar 1504 rpm dan, rise time sebesar 0,533 s dan settling time sebesar 0,64 s.

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Donner, Amy. "Motor control." Nature Chemical Biology 8, no. 6 (May 17, 2012): 503. http://dx.doi.org/10.1038/nchembio.977.

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Hoffman, Mark A. "Motor Control." Athletic Therapy Today 6, no. 4 (July 2001): 30–31. http://dx.doi.org/10.1123/att.6.4.30.

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Hu, J. S., and Z. Y. Zhou. "Research on multi-motor coordinated control under load disturbance." Journal of Physics: Conference Series 2296, no. 1 (June 1, 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2296/1/012002.

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Abstract With the iterative development of industrialization and automation, more and more mechanical and electrical equipment rely on the joint operation of multiple motors, and the efficient operation of mechanical and electrical equipment benefits from the reliable cooperative control of multiple motors. Therefore, to ensure the stability of multi-motor coordination control and improve the precision of multi-motor coordination control has important practical significance. In this paper, the multi-motor master-slave controls structure and ring-coupling control structure with random disturbance are simulated and analyzed, and it is verified that the annular coupling control structure has stronger anti-interference ability and higher control accuracy under random load disturbance in the case of four-motor coordinated control.

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Singh, Yaduvir, Darshan Singh, and Dalveer Kaur. "Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (March 5, 2013): 400–413. http://dx.doi.org/10.24297/ijct.v6i3.4464.

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than theÂ conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PIÂ controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motorÂ Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strongÂ ability to adapt to the significant change of system parameters.

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Tran, Van Тruc, and Anatoly M. Korikov. "Adaptive sliding mode control for brushless motor." Proceedings of Tomsk State University of Control Systems and Radioelectronics 27, no. 1 (2024): 72–78. http://dx.doi.org/10.21293/1818-0442-2024-27-1-72-78.

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Brushless DC motors offer many advantages over brushed DC motors. In this article, based on the constructed kinematic model of a brushless motor, a classical sliding mode of motor control is synthesized. A study of the sliding mode of motor control was carried out in the Matlab Simulink software environment and the shortcomings of the classical sliding controller were established. To eliminate these shortcomings, an adaptive sliding controller has been synthesized, consisting of a classical sliding controller and a PI controller. Simulation in the Matlab Simulink software environment proves the efficiency of a synthesized adaptive sliding controller that controls a brushless motor in an environment of noise and disturbances.

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Soliman, Hamdy Mohamed. "Performance Characteristics of Induction Motor with Field Oriented Control Compared to Direct Torque Control." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 4 (December 1, 2016): 1125. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1125-1133.

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With development of power electronics and control Theories, the AC motor control becomes easier. So the AC motors are used instead of the DC motor in the drive applications. With this development, a several methods of control are invented. The field oriented control and direct torque control are from the best methods to control the drive systems. This paper is compared between the field oriented control and direct torque control to show the advantages and disadvantages of these methods of controls. This study discussed the effects of these methods of control on the total harmonic distortion of the current and torque ripples. This occurs through study the performance characteristics of the AC motor. The motor used in this study is an induction motor. This study is simulated through the MATLAB program.

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Krishna1, P. Mohan. "Analysis of Closed Loop Current Controlled BLDC Motor Drive." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (June 11, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem35689.

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Brushless direct current (BLDC) motors are mostly preferred for dynamic applications such as automotive industries, pumping industries, and rolling industries. It is predicted that by 2030, BLDC motors will become mainstream of power transmission in industries replacing traditional induction motors. Though the BLDC motors are gaining interest in industrial and commercial applications, the future of BLDC motors faces indispensable concerns and open research challenges. Considering the case of reliability and durability, the BLDC motor fails to yield improved fault tolerance capability, reduced electromagnetic interference, reduced acoustic noise, reduced flux ripple, and reduced torque ripple. To address these issues, closed-loop vector control is a promising methodology for BLDC motors. In the literature survey of the past five years, limited surveys were conducted on BLDC motor controllers and designing. Moreover, vital problems such as comparison between existing vector control schemes, fault tolerance control improvement, reduction in electromagnetic interference in BLDC motor controller, and other issues are not addressed. This encourages the author in conducting this survey of addressing the critical challenges of BLDC motors. Furthermore, comprehensive study on various advanced controls of BLDC motors such as fault tolerance control, Electromagnetic interference reduction, field orientation control (FOC), direct torque control (DTC), current shaping, input voltage control, intelligent control, drive-inverter topology, and its principle of operation in reducing torque ripples are discussed in detail. This paper also discusses BLDC motor history, types of BLDC motor, BLDC motor structure, Mathematical modeling of BLDC and BLDC motor standards for various applications. Key Words: Brushless direct current, industries, direct torque control.

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Nguyen Trong, Thang. "The Control Structure for DC Motor based on the Flatness Control." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 4 (December 1, 2017): 1814. http://dx.doi.org/10.11591/ijpeds.v8.i4.pp1814-1821.

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<span>This article presents the new control structure for a Direct Current Motor (DC Motor) using the flatness-control principle. Basic on the mathematical model of DC Motors, the author demonstrates the application ability of the fatness-control theory to control the DC Motor, and then calculates the parameters and proposes the structure of the flatness-controller. The proposed structure is built and ran on Matlab-Simulink software to verify the system efficiency. The simulation results show that the quality of the control system is very good, especially in case of the flatness controller combined with PID controller to eliminate static error when the parameters of the DC Motor have been not known accurately.</span>

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Dissertations / Theses on the topic "Motor control"

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Wilson, W. R. "Speech motor control." Thesis, University of Essex, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.376738.

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Hassani, Heshmat. "Drive Train Control of Lithium-Battery Fed BLDC Motor : Motor Control." Thesis, Linköpings universitet, Elektroniska Kretsar och System, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165282.

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Electrical drive systems are used in various applications and getting more attractive in recent years. When the usage of electric motors increased in different applications then the control model of them has been also demanded. This work is aimed at deeper research to gain a better understanding of three different control models for electric motors, in case of this work a brushless direct current (BLDC) motor. Three different types of control models (6-step, sinusoidal and FOC control) have been investigated and designed using MATLAB/SIMULINK. Then the control models have been implemented in an Arduino Due based BLDC motor and its functionality has been configured. The results show that the FOC control model provided to work better in the simulation while the implementation of the hardware showed that sinusoidal control works a little better and smoother. Making the implementation of the control models to the hardware work better requires more works and this has been left for future work.

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Colton, Shane W. (Shane William). "Design and prototyping methods for brushless motors and motor control." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61599.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
"June 2010." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 109).
In this report, simple, low-cost design and prototyping methods for custom brushless permanent magnet synchronous motors are explored. Three case-study motors are used to develop, illustrate and validate the methods. Two 500W hub motors are implemented in a direct-drive electric scooter. The third case study, a 10kW axial flux motor, is used to demonstrate the flexibility of the design methods. A variety of ways to predict the motor constant, which relates torque to current and speed to voltage, are presented. The predictions range from first-order DC estimates to full dynamic simulations, yielding increasingly accurate results. Ways to predict winding resistance, as well as other sources of loss in motors, are discussed in the context of the motor's overall power rating. Rapid prototyping methods for brushless motors prove to be useful in the fabrication of the case study motors. Simple no-load evaluation techniques confirm the predicted motor constants without large, expensive test equipment. Methods for brushless motor controller design and prototyping are also presented. The case study, a two channel, 1kW per channel brushless motor controller, is fully developed and used to illustrate these methods. The electrical requirements of the controller (voltage, current, frequency) influence the selection of components, such as power transistors and bus capacitors. Mechanical requirements, such as overall dimensions, heat transfer, and vibration tolerance, also play a large role in the design. With full-system prototyping in mind, the controller integrates wireless data acquisition for debugging. Field-oriented AC control is implemented on low-cost hardware using a novel modification of the standard synchronous current regulator. The controller performance is evaluated under load on two case study systems: On the direct-drive electric scooter, it simultaneously and independently controls the two motors. On a high-performance remote-control car, a more extreme operating point is tested with one motor.
by Shane W. Colton.
S.M.

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Crawford, Douglas Stewart. "Sensor designand feedback motor control for two dimensional linear motors." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37546.

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Hodson-Tole, Emma Frances. "Motor Control for Dynamic tasks." Thesis, Royal Veterinary College (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498065.

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Rodrigues, Sandra. "Shoulder proprioception and motor control." Thesis, University of Brighton, 2016. https://research.brighton.ac.uk/en/studentTheses/c0d40a83-eb98-4148-ad0e-81a8b1f3a2f5.

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The shoulder is an inherently unstable joint and requires well-coordinated muscle work and an appropriate sensorimotor system for it to remain stable. The sensorimotor system is defined as all the sensory, motor, central integration and processing components involved in maintaining joint stability. Shoulder action involving overhead work places great demands on the shoulder joint and can result in shoulder lesions, such as impingement syndrome. Moreover, activities requiring repetitive arm movements, including high velocity actions, have also been identified as a risk factor for shoulder impingement.

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Dacre, Joshua Rupert Heaton. "Thalamic control of motor behaviour." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/29530.

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The primary motor cortex (M1) is a key brain area for the generation and control of motor behaviour. Output from M1 can be driven in part by long-range inputs from a collection of thalamic nuclei termed the motor thalamus (MTh), but how MTh input shapes activity in M1 and forelimb motor behaviour remains largely unresolved. To address this issue, we first defined the 3D anatomical coordinates of mouse forelimb motor thalamus (MThFL) by employing conventional retrograde and virus-based tracing methods targeted to the forelimb region of M1 (M1FL). These complimentary approaches defined MThFL as a ~0.8 mm wide cluster of neurons with anatomical coordinates 1.1 mm caudal, 0.9 mm lateral to bregma and 3.2 mm below the pial surface. Thus, MThFL incorporates defined areas of the ventrolateral, ventral anterior and anteromedial thalamic nuclei. To investigate the importance of M1FL and MThFL during skilled motor behaviour, we developed and optimised a quantitative behavioural paradigm in which head-restrained mice execute forelimb lever pushes in response to an auditory cue to receive a water reward. Forelimb movement trajectories were mapped using high-speed digital imaging and multi-point kinematic analysis. We inactivated both M1FL and MThFL of mice performing this motor behaviour using a pharmacological strategy, which in both cases resulted in a significant reduction in task performance. Inactivating M1FL significantly affected forelimb coordination and dexterity, resulting in erratic motion and posture. In contrast, mice with MThFL inactivated displayed a reduction in total motor output, although correct posture was maintained. We performed extracellular recordings in MThFL of expert-level mice, demonstrating that motor thalamic output during execution of task was dominated by a robust response to the onset of the auditory cue. Cue-evoked responses were also observed in motor thalamic neurons of naive mice. We have developed a novel solution to the stability problem encountered when performing whole-cell patch-clamp recordings from the motor cortex of head-restrained mice performing forelimb motor behaviour, and present preliminary recordings maintained through the execution of forelimb behaviour.

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Persson, Tobias, and Andreas Fredlund. "Motor control under strong vibrations." Thesis, Uppsala universitet, Fasta tillståndets elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355208.

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Jackson, Carl Patrick Thomas. "Motor learning and predictive control." Thesis, University of Nottingham, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519400.

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Beall, Jeffery C. "Stored waveform adaptive motor control." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/45746.

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This study investigates an adaptive control scheme designed to maintain accurate motor speed control in spite of high-frequency periodic variations in load torque, load inertia, and motor parameters. The controller adapts, stores and replays a schedule of torques to be delivered at discrete points throughout the periodic load cycle. The controller also adapts to non-periodic changes in load conditions which occur over several load cycles and contains inherent integrator control action to drive speed error to zero. Using computer simulations, the control method was successfully applied to a 3Φ synchronous motor and a permanent magnet D.C. motor. The D.C. motor (or A.C. servo-motor) controller has superior characteristics and this system performance was compared to P, PI and PID control for two severe load cases - a periodic step load and a four-bar linkage load. Simulation studies showed the schedule control method to be stable and in comparison to the PID controller to have 1) nearly the same speed of response but without the overshoot found in PID control, 2) nearly the same mean speed error (~ O), 3) 12-50 times better reduction in speed fluctuation, and 4) the schedule controller gains were much easier to find than PID gains for this low-order, highly responsive system.
Master of Science

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Books on the topic "Motor control"

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Gantchev, G. N., B. Dimitrov, and P. Gatev, eds. Motor Control. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5.

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N, Gantchev G., Dimitrov B, and Gatev P, eds. Motor control. New York: Plenum Press, 1987.

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Gantchev, G. N. Motor Control. Boston, MA: Springer US, 1987.

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Electric motor control. 4th ed. [Albany, N.Y.]: Delmar Publishers, 1988.

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Herman, Stephen L. Industrial motor control. Albany, N.Y: Delmar Publishers, 1985.

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Human motor control. 2nd ed. Burlington, MA: Elsevier Inc, 2010.

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N, Alerich Walter, ed. Industrial motor control. 2nd ed. Albany, N.Y: Delmar Publishers, 1990.

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Electric motor control. 9th ed. Clifton Park, NY: Delmar, 2010.

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N, Alerich Walter, ed. Industrial motor control. 4th ed. Albany, N.Y: Delmar Publishers, 1999.

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Electric motor control. 5th ed. Albany, N.Y: Delmar Publishers, 1993.

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Book chapters on the topic "Motor control"

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Gurfinkel, V. S., and Yu S. Levik. "The Pattern-Related Modifications of Contractile Response of Human Skeletal Muscle." In Motor Control, 3–6. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_1.

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Person, R., and G. Kozhina. "Presynaptic Inhibition and Disinhibition of Monosynaptic Reflex in Man." In Motor Control, 59–62. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_10.

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Soukup, T., and J. Zelená. "The Differentiation of Golgi Tendon Organs in the Rat Hind Limb Muscles after Neonatal De-Efferentation." In Motor Control, 63–66. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_11.

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Bava, A., F. Fabbro, S. Mininel-Conte, G. Leanza, A. Russo, and S. Stanzani. "Trigeminal Afferents to the Fastigial N. and Paleocerebellar Modulation of Hypoglossal Motoneurons: Neuroanatomical and Electrophysiological Study Suggesting a Transcerebellar Loop for Tongue Muscle Activity Regulation." In Motor Control, 69–74. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_12.

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Korczyński, R., S. Kasicki, and U. Borecka. "EMG and Hippocampal EEG Activities during Spontaneous and Elicited Movements in the Rat." In Motor Control, 75–78. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_13.

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Halsband, U. "Higher Disturbances of Movement in Monkeys (Macaca Fascicularis)." In Motor Control, 79–85. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_14.

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Chapman, C. E., and Y. Lamarre. "Characteristics of Dentate Neuronal Discharge in a Simple and a Choice Reaction Time Task in the Monkey." In Motor Control, 87–91. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_15.

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Dimitrov, B., G. N. Gantchev, and D. Popivanov. "Movement Related Brain Potentials in Sustained Isometric Voluntary Contraction." In Motor Control, 93–98. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_16.

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Freude, G., P. Ullsperger, and M. Pietschmann. "Are Self-Paced Repetitive Fatiguing Hand Contractions Accompanied by Changes in Movement-Related Brain Potentials?" In Motor Control, 99–103. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_17.

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Jones, L., and I. Hunter. "Effects of Antagonist Activation on Sensations of Muscle Force." In Motor Control, 105–9. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_18.

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Conference papers on the topic "Motor control"

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WATSON, A. "THE IMPORTANCE OF NOISE CONTROL AT VENUES AND HOW THE GOVERNING BODIES APPROACH THE ISSUE." In MOTOR SPORT NOISE 2010. Institute of Acoustics, 2023. http://dx.doi.org/10.25144/17131.

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Asher, G. M. "Sensorless induction motor drives." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000386.

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Hughes, A. "Visualising vector control in cage motors." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000381.

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Atkinson, D. "Vector control of cascaded induction motors." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000384.

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Watanabe, E. "High performance motor drive using matrix converter." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000387.

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Levi, E. "Induction motor sensorless vector control in the field weakening region." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000383.

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Schofield, J. R. G. "A 3.3 kV variable frequency converter for retrofitting to existing motors." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000382.

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Thomas, J. L. "Advanced torque control of induction motors fed by a floating capacitor multilevel VSI actuator." In IEE Seminar on Advances in Induction Motor Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000385.

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Kuang, Zhi, Tianxu Zhao, and Shumei Cui. "Five-phase permanent magnet synchronous motor drive for aircraft applications." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737511.

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Darnet, Justin, Éric Bideaux, and Jean-François Trégouët. "Projection Method for Hydraulic Piston Motor Torque Control." In ASME/BATH 2023 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/fpmc2023-111492.

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Abstract Hydraulic systems are mostly known for their high-power density and their ability to precisely modulate the ratio of the power transmission between a prime mover and other actuators. This power modulation is generally achieved by controlling the displacement of the pump/motors implemented in the hydraulic system. Several component architectures and/or control strategies have been developed in this sense, as described in [1]. However, for hydrostatic transmissions, beyond the displacement control, a precise and efficient torque control of hydraulic motors is often preferable in order to optimize the driveability and/or the energy consumption. This constitutes a major technological problem, which could be addressed step-by-step by simplifying the architecture of the hydraulic motor studied and dividing the control in elementary bricks. The paper presents an application of this early torque control strategy to a three-piston hydraulic motor. A simplified model of such a motor leads to a state-space representation, which is then transformed using specific change of variables that enable a direct torque control. Both torque and internal dynamics are then splitted in two different submodels that facilitate the motor torque control. Simulation results illustrate the potential of this approach before concluding.

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Reports on the topic "Motor control"

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Kubota, Hidenobu. Motor Vehicle Emission Control in Japan. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0140.

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Maase, Hannon T., Jonathan A. Locker, and Philip T. Krein. Bus Current Feedback for Motor Control. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada377502.

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Chaloupka, Frank, Henry Saffer, and Michael Grossman. Alcohol Control Policies and Motor Vehicle Fatalities. Cambridge, MA: National Bureau of Economic Research, September 1991. http://dx.doi.org/10.3386/w3831.

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4

Fahle, Manfred. Limits of Precision for Human Eye Motor Control. Fort Belvoir, VA: Defense Technical Information Center, November 1989. http://dx.doi.org/10.21236/ada225515.

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Deluchi, M., Quanlu Wang, and D. L. Greene. Motor vehicle fuel economy, the forgotten HC control stragegy? Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/10167340.

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Curry, David. Handedness and Motor Programming Effects of Manual Control and Movement. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada264022.

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Arimitsu, Minoru, Masaki Nakano, Yuusuke Minagawa, and Shouichi Maeda. Compound Current Control of an Innovatively Wired Two-Motor System. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0210.

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Watson, T. L. W-026, acceptance test report motor control centers (submittal{number_sign}515.1). Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/326436.

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Deluchi, M., Quanlu Wang, and D. L. Greene. Motor vehicle fuel economy, the forgotten HC control stragegy. [Hydrocarbon (HC)]. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/7295170.

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Castillo, V., D. Derryberry, Z. Huang, and T. Tallerico. Motor control system for the Expt. No. 821 Plan B compressor. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/1157478.

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