Relevant bibliographies by topics / Motor control system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Motor control system'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Motor control system"

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Petrenko, Serhii, A. V. Omelyan, Victor Antonyuk, and O. G. Novakovsky. "PIEZOELECTRIC MOTOR CONTROL SYSTEM." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 55(1) (June 29, 2018): 5–10. http://dx.doi.org/10.20535/1970.55(1).2018.135857.

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Zhou, Jia, Xiao Long Tan, and Wen Bin Wang. "Research of Control System of Variable Frequency Motor." Applied Mechanics and Materials 556-562 (May 2014): 2244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2244.

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Variable frequency motors replace traditional ones which use mechanical and DC speed regulation strategies. The frequency of the motor torque and the motor inductance and frequency are directly related. Therefore, the inverter motor control system analysis and modeling of nonlinear frequency conversion motor without inductance calculations.
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Singh, Abhay Kumar, and Shabbiruddin. "An Efficient Method for Motor Protection System Control Using Labview." International Journal of Measurement Technologies and Instrumentation Engineering 4, no. 1 (January 2014): 43–50. http://dx.doi.org/10.4018/ijmtie.2014010103.

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The need for a motor protection system can be well understood by the fact that motors are integral device in any of the present day industries. Malfunctioning or any other faults in motor can halt the functioning of such industries. This can cause huge financial losses. So an efficient motor protection system is necessary. The present research work deals with the application of Labview for motor protection system, which can constantly monitor and control, a large motor system. This paper presents a highly reliable approach towards protection of commonly used motors. Here we deal with different kinds of motor faults and detection of all these faults using NI LABVIEW™. The present paper will not only be helpful for industrial purposes but it can also be helpful for students to understand motor fault detection. The LABVIEW has been successfully applied to make an efficient motor protection system.
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W, Andrean George. "Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 3, no. 2 (July 22, 2019): 13–24. http://dx.doi.org/10.34010/telekontran.v3i2.1878.

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Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.
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VanBommel, G., and W. R. Quinn. "Inexpensive stepping motor control system." Review of Scientific Instruments 58, no. 12 (December 1987): 2346. http://dx.doi.org/10.1063/1.1139301.

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Akinin, K. P., A. E. Antonov, V. G. Kireyev, and A. A. Filomenko. "RETURN-ROTARY MOTION CONTROL SYSTEM OF ROTOR OF BRUSHLESS MAGNETOELECTRIC MOTOR." Praci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini 2020, no. 55 (March 19, 2020): 58–66. http://dx.doi.org/10.15407/publishing2020.55.058.

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Dai, Yue Ming, and Cong Cheng Zhu. "The Design of DC Servo Motor Control System." Applied Mechanics and Materials 433-435 (October 2013): 1241–44. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1241.

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The design is to control DC servo motor and design a DC servo control system by the computer.It measures the DC servo motors parameter by measuring element (displace sensor) and transforms some forms of information by using A/D conventer to the CPU.The CPU will compare the input signal and measuring signal and if there is error, according to the predetermined control law to produce a control signal to control motor ,the system makes input signal and measuring signal keep consistent. Control algorithm use digital PID controller .
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Zhang, Jin Dong, Gui He Qin, Yong Ping Huang, and Xiao Long Zhang. "Simulation of Hybrid Electrical Vehicle Automated Mechanical Transmission Control System." Advanced Materials Research 129-131 (August 2010): 7–11. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.7.

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For developing motor driven automated mechanical transmission of hybrid electrical vehicle, adjust and control the gear selecting motor, the gear shifting motor and the clutch motor. In the research of position-PID controller and robust disturbance observer, an automated mechanical transmission system based on position-PID was given. With Matlab, the position-PID controlling arithmetic and the controlling system models of the motors were built. Experimental results show that, a highly efficient and reliable automated mechanical transmission motor control system was developed.
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Wang, Hui, and Hong Xia Liu. "Research of Speed Regulating System Based on Expert PID Control." Applied Mechanics and Materials 526 (February 2014): 257–62. http://dx.doi.org/10.4028/www.scientific.net/amm.526.257.

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In order to further improve on the static and dynamic performance of the permanent magnet linear synchronous motor speed regulating system, the traditional PID controller is combined with the expert system technology to achieve optimum control of the control systems. In light of defects of the traditional PID controller, the expert system is introduced into the control system of motor on the basis of the incremental PID algorithm, and it is applied to the permanent magnet linear synchronous motor to adjust the motors speed. The simulation results prove the new PID controller combined with the expert system technology has small overshoot, rapid response and good robust stability.
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Kong, Fan Feng, Jian Hu, Tao Tao, Xue Song Mei, and Ying Qing Zhang. "Fast Development of Flexible Motor Control System with Model Based Design." Applied Mechanics and Materials 284-287 (January 2013): 1851–55. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1851.

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In this paper, model based design was introduced for fast developing the flexible motor control system. Unification of synchronous and asynchronous motors was proposed as they have same control framework. Based on the combinatorial study of motor control system’s inputs, outputs and state variables, a flexible motor control system was established that for synchronous and asynchronous motors, variety of control algorithms can switch, expand to and combine with each other freely. Building the finite element model of the motor with Ansoft Maxwell, the parameters and the electromagnetic characteristics of the motor have been obtained by finite element analysis. With the PID parameter auto-tuning method, the result of the system simulation proves the correctness of the control algorithm. After continuous testing and validation, the simulation model was changed into fixed-point model according to the embedded processor. Combining underlying drive with automatic code generation, the software of the motor control system was achieved rapidly. A servo driver and a motor servo performance test-bed were designed to test the automatically generated code and control algorithm. The experimental results show that a flexible motor control system with good servo performance has been achieved rapidly with model based design.
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Dissertations / Theses on the topic "Motor control system"

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Uygur, Serdar. "An Fpga Based Bldc Motor Control System." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614104/index.pdf.

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In this thesis, position and current control systems for a brushless DC (Direct Current) motor are designed and integrated into one FPGA (Field Programmable Gate Array) chip. Experimental results are obtained by driving the brushless DC motors of Control Actuation System of a guided missile. Because of their high performance, brushless DC motors are widely used in Control Actuation Systems of guided missiles. In order to control the motor torque, current controller is designed and implemented in the FPGA. Position controller is designed to fulfill the position commands. A soft processor in the FPGA is used to connect and configure the current controller, position sensor interfaces and communication modules such as UART (Universal Asynchronous Receiver Transmitter) and Spacewire. In addition
position controller is implemented in the soft processor in the FPGA. An FPGA based electronic board is designed and manufactured to implement control algorithms, power converter circuitry and to perform other tasks such as communication with PC (Personal Computer). In order to monitor the behavior of the controllers in real time and to achieve performance tests, a graphical user interface is provided.
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Turl, Gary. "A synchronised multi-motor control system using hybrid sensorless induction motor drives." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/29510/.

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The main aim of this project was to research, develop and test an induction motor drive not requiring a speed encoder, but which could be considered commercially viable by motor drives manufacturers, and which should aim to meet the follow requirements: • Dynamic torque performance and steady state speed-holding accuracy to be comparable with encodered vector controlled drives • Extensive and highly accurate knowledge of electrical and mechanical parameters of the motor and load not to be required • Extensive commissioning from an expert engineer not to be necessary • Algorithm not to rely on excessive computational capability being available The drive was to operate, in a stable manner, over speed and load ranges at least comparable with commercially available sensorless induction motor drives. The above requirements were set such that the developed sensorless technique may be considered for synchronised multi-motor process applications, where the advantages of a sensorless system could be exploited for hazardous, damp and hot conditions. The solution developed consists of a leading model-based sensorless method augmented with a speed estimator that tracks harmonics, seen in the stator terminal quantities, due to rotor slotting. The model-based scheme facilitates field-orientated control for dynamic performance. The slot harmonic speed estimator tunes the model for speed accuracy. Slot harmonics are identified using a recursive signal processing method termed the Recursive Maximum Likelihood - Adaptive Tracking Filter. This work is the first example of the method being developed into a practical sensorless drive system and the complete speed identifier is described, including set-up, pre-filtering and the minimal parameter considerations. Being recursive the method is computationally efficient, yet has accuracy comparable with that of FFT identifiers used in other work. The developed sensorless strategy was implemented practically on two motor drive systems. The performance of the scheme is shown to give encoder like speed holding accuracy and field-orientated dynamic performance. The two drives were also configured and tested as a speed synchronised pair, using applicable multi-motor control techniques, themselves compared and contrasted. The sensorless performance is demonstrated, alongside an encodered version acting as a benchmark, and the performance of the two schemes is shown to be highly comparable. The author has found no other example of sensorless techniques considered for use in multi-motor applications. The use of such a technique brings established advantages associated with encoder removal and allows multi-axis electronic synchronisation to be considered for parts of a process where an encoder may not be appropriate.
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Siewert, Marcus. "Development of a control system for DC-motor." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9576.

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A control system for a BLDC (Brushless Direct Current) motor has been developed in Labview 2009. This report explains how it works, conclusions and some information about things that could have been done differently. This report is also a good introduction to Labview including its advantages and disadvantages. It also explains how a FOC (Field Oriented Control) works.

This is the public version of the report which does not include any results or information about the implementation. This information can be found in the original report which only authorized persons have access to.

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Wang, Zhihuo. "Robust fault tolerant control of induction motor system." Thesis, University of Hull, 2018. http://hydra.hull.ac.uk/resources/hull:16576.

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Research into fault tolerant control (FTC, a set of techniques that are developed to increase plant availability and reduce the risk of safety hazards) for induction motors is motivated by practical concerns including the need for enhanced reliability, improved maintenance operations and reduced cost. Its aim is to prevent that simple faults develop into serious failure. Although, the subject of induction motor control is well known, the main topics in the literature are concerned with scalar and vector control and structural stability. However, induction machines experience various fault scenarios and to meet the above requirements FTC strategies based on existing or more advanced control methods become desirable. Some earlier studies on FTC have addressed particular problems of 3-phase sensor current/voltage FTC, torque FTC, etc. However, the development of these methods lacks a more general understanding of the overall problem of FTC for an induction motor based on a true fault classification of possible fault types. In order to develop a more general approach to FTC for induction motors, i.e. not just designing specific control approaches for individual induction motor fault scenarios, this thesis has carried out a systematic research on induction motor systems considering the various faults that can typically be present, having either “additive” fault or “multiplicative” effects on the system dynamics, according to whether the faults are sensor or actuator (additive fault) types or component or motor faults (multiplicative fault) types. To achieve the required objectives, an active approach to FTC is used, making use of fault estimation (FE, an approach that determine the magnitude of a fault signal online) and fault compensation. This approach of FTC/FE considers an integration of the electrical and mechanical dynamics, initially using adaptive and/or sliding mode observers, Linear Parameter Varying (LPV, in which nonlinear systems are locally decomposed into several linear systems scheduled by varying parameters) and then using back-stepping control combined with observer/estimation methods for handling certain forms of nonlinearity. In conclusion, the thesis proposed an integrated research of induction motor FTC/FE with the consideration of different types of faults and different types of uncertainties, and validated the approaches through simulations and experiments.
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Spejcher, Clint. "A comprehensive fleet risk control system for Bill's Distributing." Online version, 1998. http://www.uwstout.edu/lib/thesis/1998/1998spejcherc.pdf.

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Baston, Chiara <1986&gt. "Motor control system in Parkinson’s disease: a modeling approach." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/7147/.

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Parkinson’s disease is a neurodegenerative disorder due to the death of the dopaminergic neurons of the substantia nigra of the basal ganglia. The process that leads to these neural alterations is still unknown. Parkinson’s disease affects most of all the motor sphere, with a wide array of impairment such as bradykinesia, akinesia, tremor, postural instability and singular phenomena such as freezing of gait. Moreover, in the last few years the fact that the degeneration in the basal ganglia circuitry induces not only motor but also cognitive alterations, not necessarily implicating dementia, and that dopamine loss induces also further implications due to dopamine-driven synaptic plasticity got more attention. At the present moment, no neuroprotective treatment is available, and even if dopamine-replacement therapies as well as electrical deep brain stimulation are able to improve the life conditions of the patients, they often present side effects on the long term, and cannot recover the neural loss, which instead continues to advance. In the present thesis both motor and cognitive aspects of Parkinson’s disease and basal ganglia circuitry were investigated, at first focusing on Parkinson’s disease sensory and balance issues by means of a new instrumented method based on inertial sensor to provide further information about postural control and postural strategies used to attain balance, then applying this newly developed approach to assess balance control in mild and severe patients, both ON and OFF levodopa replacement. Given the inability of levodopa to recover balance issues and the new physiological findings than underline the importance in Parkinson’s disease of non-dopaminergic neurotransmitters, it was therefore developed an original computational model focusing on acetylcholine, the most promising neurotransmitter according to physiology, and its role in synaptic plasticity. The rationale of this thesis is that a multidisciplinary approach could gain insight into Parkinson’s disease features still unresolved.
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PATEL, TARPIT KAUSHIKBHAI. "MOTION-CONTROL SYSTEM OF BENCH-TOP CT SCANNER." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1229708881.

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Byadarhaly, Kiran. "A Neuro-dynamical model of Synergistic Motor Control." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426521.

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Knight, Matthew John. "Precision control of a sensorless brushless direct current motor system." Thesis, University of Plymouth, 2002. http://hdl.handle.net/10026.1/2565.

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Sensorless control strategies were first suggested well over a decade ago with the aim of reducing the size, weight and unit cost of electrically actuated servo systems. The resulting algorithms have been successfully applied to the induction and synchronous motor families in applications where control of armature speeds above approximately one hundred revolutions per minute is desired. However, sensorless position control remains problematic. This thesis provides an in depth investigation into sensorless motor control strategies for high precision motion control applications. Specifically, methods of achieving control of position and very low speed thresholds are investigated. The developed grey box identification techniques are shown to perform better than their traditional white or black box counterparts. Further, fuzzy model based sliding mode control is implemented and results demonstrate its improved robustness to certain classes of disturbance. Attempts to reject uncertainty within the developed models using the sliding mode are discussed. Novel controllers, which enhance the performance of the sliding mode are presented. Finally, algorithms that achieve control without a primary feedback sensor are successfully demonstrated. Sensorless position control is achieved with resolutions equivalent to those of existing stepper motor technology. The successful control of armature speeds below sixty revolutions per minute is achieved and problems typically associated with motor starting are circumvented.
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Ulrich, Peyton. "Design of a Three-Phase Brushless DC Motor Control System." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2291.

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In the past several decades, the Brushless DC (BLDC) motor has seen increased usage due to several distinct advantages over its brushed counterpart, including higher performance, increased reliability, and minimal maintenance requirements. However, the electronic commutation system of the BLDC motor creates the need for an accompanying electronic motor control system of increased complexity, adding to the overall cost of the BLDC motor and motor control system. As such, continued research and exploration in the area of BLDC motor control is necessary to continue to reduce the cost of BLDC motors and their corresponding motor control systems. This project focuses on the design of a motor control system for a Three-Phase Brushless DC Motor. A printed circuit board was designed for use in Three-Phase BLDC motor control and the design process was documented within this report. Due to an international IC shortage at the time of this project, fabrication was unable to be completed, however fabrication plans and cost estimation is included herein. Preliminary software modifications were tested to the extent possible with an off-the-shelf evaluation board, and future software modifications were outlined. Description of the hardware design and software development of this system is included in this report, as well as analysis of this system for future design, fabrication, and testing.
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Books on the topic "Motor control system"

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

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Strata, Piergiorgio, ed. The Olivocerebellar System in Motor Control. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0.

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

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The neural basis of motor control. New York: Oxford University Press, 1986.

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Cope, D. Vehicle emissions control system tampering. Ottawa, Ont: Environment Canada, 1988.

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McGhee, Robert B. A simulation study of an autonomous steering system for on-road operation of automotive vehicles. Monterey, California: Naval Postgraduate School, 1986.

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GM passes Ford, 1918-1938: Designing the General Motors performance-control system. University Park: Pennsylvania State University Press, 1986.

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Fiengo, Giovanni. Common Rail System for GDI Engines: Modelling, Identification, and Control. London: Springer London, 2013.

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Organizational cybernetics and business policy: System design for performance control. University Park: Pennsylvania State University Press, 1986.

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Sigsby, John E. Evaluation of a FTIR mobile source measurement system. Research Triangle Park, NC: U.S. Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory, 1989.

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Book chapters on the topic "Motor control system"

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Hunter, I., and R. Kearney. "System Identification in Motor Control: Time-Varying Techniques." In Motor Control, 189–95. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4615-7508-5_33.

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van der Brugge, Frans. "Motor Control Models." In Neurorehabilitation for Central Nervous System Disorders, 133–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58738-7_9.

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Baev, Konstantin V. "The Spinal Motor Optimal Control System." In Biological Neural Networks: Hierarchical Concept of Brain Function, 87–101. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-4100-3_5.

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Llinás, R. R. "Electrophysiological Properties of the Olivocerebellar System." In The Olivocerebellar System in Motor Control, 201–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_19.

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Zweers, G., R. Bout, and J. Heidweiller. "Motor Organization of the Avian Head-Neck System." In Perception and Motor Control in Birds, 201–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-75869-0_12.

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Arends, J. J. A., and J. Voogd. "Topographical Aspects of the Olivocerebellar System in the Pigeon." In The Olivocerebellar System in Motor Control, 52–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_6.

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Voogd, J. "Parasagittal Zones and Compartments of the Anterior Vermis of the Cat Cerebellum." In The Olivocerebellar System in Motor Control, 3–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_1.

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Buisseret-Delmas, C., C. Batini, C. Compoint, H. Daniel, and D. Menétrey. "The GABAergic Neurones of the Cerebellar Nuclei: Projection to the Caudal Inferior Olive and to the Bulbar Reticular Formation." In The Olivocerebellar System in Motor Control, 108–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_10.

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Zeeuw, C. I., J. C. Holstege, T. J. H. Ruigrok, and J. Voogd. "The Cerebellar, Mesodiencephalic and GABAergic Innervation of the Glomeruli in the Cat Inferior Olive. A Comparison at the Ultrastructural Level." In The Olivocerebellar System in Motor Control, 111–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_11.

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Billard, J. M., C. Batini, C. Buisseret-Delmas, and H. Daniel. "The Inferior Olive Innervation from the Cerebellar and Lateral Vestibular Nuclei: Evidence for a Longitudinal Zonal Segregation of the Cortico-Nucleo-Olivary Connection in the Rat." In The Olivocerebellar System in Motor Control, 117–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73920-0_12.

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Conference papers on the topic "Motor control system"

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Jia, Xiaoyan, Xue Wang, Xiaohua Xie, and Hong Chen. "Research on speed-sensorless induction motor control system based on AMESim-Simulink simulation." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334659.

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Zhang, Guoguang, Hui Zhang, Junmin Wang, Hai Yu, and Roger Graaf. "Actuator Fault Sensitivity Analysis for In-Wheel Motor Electric Ground Vehicle With Active Steering System." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6035.

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This paper presents the sensitivity analyses on vehicle motions with regard to faults of in-wheel motors and steering motor for an electric ground vehicle (EGV) with independently actuated in-wheel rear motors. Based on the vehicle model, direct method is applied to determine, to what extent, that different actuator faults affect vehicle motions such as the longitudinal velocity, lateral velocity, and yaw rate. For motion indices like vehicle sideslip angle and longitudinal acceleration, linearizations around equilibrium points are conducted and their sensitivities to actuator faults are analyzed. Results show that all mentioned vehicle motions are more sensitive to the fault of steering motor than that of in-wheel motors. In addition, the effects on vehicle motions due to four types of faults, i.e. additive, loss-of-effectiveness, time-varying-gain and stuck-at-fixed-level faults, are examined through CarSim® simulations and vehicle experiments under a representative maneuver.
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Kadage, A. D., and J. D. Gawade. "Wireless Control System for Agricultural Motor." In 2009 Second International Conference on Emerging Trends in Engineering & Technology. IEEE, 2009. http://dx.doi.org/10.1109/icetet.2009.236.

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Song, Jianlin, Xiaowen Dai, and Liquan Yue. "Intelligent Control Strategy of Motor Speed Control System." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997613.

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Qiankun, Ma, Wang Xuyong, Yuan Fan, Tao Jianfeng, and Liu Peng. "Research on feed-forward PIDD2control for hydraulic continuous rotation motor electro-hydraulic servo system with long pipeline." In 2016 UKACC 11th International Conference on Control (CONTROL). IEEE, 2016. http://dx.doi.org/10.1109/control.2016.7737533.

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Ma Guoliang, Wang Daobo, and Wang Hongqiang. "Switched PID control of motor-load system." In 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605634.

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Turl, G. "A synchronised multi-motor control system using sensorless induction motor drives." In International Conference on Power Electronics Machines and Drives. IEE, 2002. http://dx.doi.org/10.1049/cp:20020086.

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Prasannakumar, Nikhilesh, and C. Nagamani. "C2000 LaunchPad Based Generic Motor Control System." In 2014 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2014. http://dx.doi.org/10.1109/tiiec.2014.035.

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Bandyopadhyay, Mandakinee, Subrata Chattopadhyay, and Nirupama Mandal. "Position control system of a PMDC motor." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754785.

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Ciucur, Violeta-Vali. "Speed position control system for DC motor." In 2014 16th International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2014. http://dx.doi.org/10.1109/ichqp.2014.6842915.

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Reports on the topic "Motor control system"

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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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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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Carpenter, K. E. Work plan for upgrading the 241-A-701 compressed air system and motor control center. Revision 1. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10115168.

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Nelson, Randal C., Martin Jaegersand, and Olac Fuentes. Virtual Tools. A Framework for Simplifying Sensory-Motor Control in Robotic Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1995. http://dx.doi.org/10.21236/ada300060.

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Wheeler, Grant, and Michael Deru. Evaluation of High Rotor Pole Switched Reluctance Motors to Control Condenser Fans in a Commercial Refrigeration System. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1525771.

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Seong, Hee Je, and Seungmok Choi. Particulate Emissions Control using Advanced Filter Systems: Final Report for Argonne National Laboratory, Corning Inc. and Hyundai Motor Company CRADA Project. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1326789.

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