Relevant bibliographies by topics / Electric motor control systems

Contents

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

Academic literature on the topic 'Electric motor control systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Electric motor control systems"

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Hyng, Nguen Huang, and V. A. Utkin. "Control of DC electric motor." Automation and Remote Control 67, no. 5 (May 2006): 767–82. http://dx.doi.org/10.1134/s0005117906050092.

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Deaconu, Sorin Ioan, Marcel Topor, Gabriel Nicolae Popa, and Feifei Bu. "Hybrid Electric Vehicle with Matrix Converter and Direct Torque Control in Powertrains Asynchronous Motor Drives." MATEC Web of Conferences 292 (2019): 01066. http://dx.doi.org/10.1051/matecconf/201929201066.

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Electric transportation has made rapid developments and significant steps toward the full electrical powertrain systems. With the increased use of electric vehicles energy conversion systems several technologies have been developed and reached a high degree of performance. Since electric vehicles and hybrid are the more cost competitive technology available today, the evolution toward a more reliable powertrain combining different electric powertrain systems is needed. Induction machine and permanent magnet generators/motors integrated powertrains have some significant advantages over other types of systems such as no need of excitation, low volume and weight, high precision, and no use of a complex gearbox for torque/speed conversion. A electric vehicle powertrain for EV propulsion with a induction motor and a matrix converter is proposed in this paper. The induction motor is controlled using the direct torque flux algorithm. The traditional power conversion stages consist of a rectifier followed by an inverter and bulky DC link capacitor. It involves 2 stages of power conversion and, subsequently, the efficiency of the overall EV is reduced because of power quality issues mainly based on total harmonic distortion. The proposed solution incorporates a matrix converter is mainly utilized to control the induction electric motor for propulsion. The matrix converter is a simple and compact direct AC-AC converter. The proposed EV with matrix converter is modeled using PSIM.
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Tsvetkov, A. N., V. Yu Kornilov, A. R. Safin, N. E. Kuvshinov, T. I. Petrov, and R. R. Gibadullin. "Development of a stand for researching electric drives of pumping units." Vestnik MGTU 23, no. 4 (December 30, 2020): 364–75. http://dx.doi.org/10.21443/1560-9278-2020-23-4-364-375.

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In the modern oil industry, the vast majority of oil production units are represented by sucker rod pumping units, driven mainly by asynchronous electric motors without using any monitoring, control and regulation means. Studies carried out on such installations show their low energy efficiency and reliability. Therefore, the issue of developing complex electric drives of a new generation based on the use of synchronous valve electric motors is relevant allowing to significantly increase the energy efficiency and reliability of both individual installations and to ensure the creation of "smart" oil field control systems. The paper discusses new technical solutions of the experimental stand which makes it possible to study the energy characteristics of electric drives based on asynchronous and synchronous valve electric motors, as well as allowing to create conditions as close as possible to real field conditions with imitation of the operation of an oil pumping unit of a sucker rod pumping unit. In modern test equipment systems, devices are often used to create a mechanical load on the shaft of the electric motor under study. The system proposed and implemented as such a device is "a frequency converter - load asynchronous electric motor", which has been tested on a stand and has proven to be the best in comparison with traditional circuits using DC motors. But using of a load asynchronous electric motor as part of the test stand has revealed a number of disadvantages: overheating of the electric motor operating in the opposing mode, low accuracy of creating the load torque and the speed of the system's response. The problem of overheating of the load electric motor has been solved by transferring the frequency converter to the direct torque control mode, while a significant decrease in the motor current and stabilization of the temperature regime have been detected. The low accuracy and response speed of the system have been increased by introducing feedback and a PID controller into the stand control system.
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Plotnikov, Iurii Valerievich, and Vladimir Nikolaevich Polyakov. "Multidimensional Currents Control Systems of Induction Motor Electric Drives." International Review on Modelling and Simulations (IREMOS) 8, no. 1 (February 28, 2015): 11. http://dx.doi.org/10.15866/iremos.v8i1.5345.

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Abuziarov, T. H., A. S. Plehov, A. B. Dar’enkov, and A. I. Ermolaev. "Development of a high-quality brushless dc electric drive systems model." Vestnik IGEU, no. 1 (2020): 31–45. http://dx.doi.org/10.17588/2072-2672.2020.1.031-045.

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When designing electric drives based on brushless DC motors with permanent magnets (BLDC), which have low level torque pulsations, the problem of modelling non-standard topological solutions appears. The known models of BLDC motors are either based on the assumptions about the symmetry of the stator pa-rameters of the electric motor and/or the ideal form of the phase back-EMF waveform, which reduce the accuracy of evaluating the effectiveness of the proposed solutions or prove unusable for modelling an operation of the electric motor with a non-standard semiconductor converter. It is necessary to develop a mathematical model of the BLDC motor-based electric drive that takes into account the structural features of the electric motor and allows for semiconductor converter configuration variability. The model is designed in the Matlab Simulink environment. The verification is carried out by comparing the modelling results with experimental data obtained previously by other researchers. The proposed method for generating phase back-EMF in the BLDC motor model provides the possibility for the user to set the EMF form templates independent for each phase. The proposed method for stator circuit simulating provides the user with access to each of the stator windings leads as well as with the possibility of asymmetric determination of each parameter of the electric motor. Upon verification, it has been shown that the difference in the control points between the simulated and experimental speed-torque curves does not exceed 3,5 %. The developed model allows analyzing the static and dynamic characteristics of operation modes of non-standard topology BLDC motor-based electric drives taking into account the stator pa-rameters asymmetry and the real phase back-EMF waveform. The specified features of the model allow exploring the operation of the designed electric drive, taking into account the BLDC motor and converter design. The model can be applied when checking atypical design decisions and when changing the set parameters of the electric drive and restrictions on working conditions and target functions to refine the control system algorithms and automate the search for optimal parameters of the motor and the semiconductor converter.
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Yan, Shi Rong, and Shi Zhong Li. "Study of EV Motor Control Scheme." Advanced Materials Research 317-319 (August 2011): 643–48. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.643.

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According to electrical vehicle (EV) working requirements, a built-in permanent magnet (IPM) synchronous motor is selected as the topic motor. A mathematical model about the motor is described here. To make the EV run smoothly, safely and economically, two control loops for the electric motor are developed. One is based on motor current control, which consists of maximum torque per ampere control and field weakening control. Other is motor speed control loop, in which a sliding mode control (called a variable speed exponential reaching law) is used. Through simulation study, the control scheme developed here can make the motor work well, which means it can be used in some EV driving systems.
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Sinyukova, T. V., V. N. Meshcheryakov, and A. V. Sinyukov. "Research of control systems for lifting and transport mechanisms." Power engineering: research, equipment, technology 23, no. 3 (July 20, 2021): 47–61. http://dx.doi.org/10.30724/1998-9903-2021-23-3-47-61.

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THE PURPOSE. To investigate the existing methods of frequency control and their influence on the characteristics of the asynchronous motor, including the energy parameters. Consider new circuit solutions of the control type under study. Create a mathematical model of each of the methods of frequency control. To analyze the results obtained from the point of view of the behavior of mechanical, electromechanical and energy components. METHODS. When solving this problem, the method of computer simulation modeling, implemented by means of Matlab Simulink, was used. RESULTS. In this paper, various aspects of electric drive systems based on asynchronous motors with the use of cascade switching are studied and described, existing connection schemes for such systems are analyzed, and several new options with improved characteristics are proposed. A comparative analysis of various connection schemes is made, the most interesting results of such analysis are presented, and conclusions are drawn about the future prospects of certain circuit solutions.Electric drive systems were modeled in the Simulink MATLAB environment using software tools to demonstrate the operation parameters of the considered circuits. CONCLUSION. Various schemes for switching on the asynchronous motor in the Simulink Matlab environment were investigated. The results of the study revealed the potential usefulness of using a circuit with a transformer in the rotor circuit, as well as the construction of a multi-motor electric drive with a common transformer and a common frequency converter circuit. The efficiency of parallel connection of rotary circuits of a two-motor electric drive was demonstrated. The methods of returning the sliding energy to the network are also compared, and their effectiveness in a comparative analysis with the operation in the closed-loop rotor mode is demonstrated.
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Su, Chun Lien, and Ruei Hung Weng. "A Novel Control Model for Electric Propulsion Systems in All-Electric Ships." Advanced Materials Research 433-440 (January 2012): 2541–45. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2541.

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In recent sea and undersea vehicles, implementation of all-electric ships (e-ships) technologies that employ various types of semiconductor switching devices based power conversion modules has brought revolution. These power converters that are nonlinear loads can produce non-sinusoidal distorted currents and these currents are then delivered and broadcasted through the power network and thus bus voltages are distorted. This effect can be more obvious while large loads fed and controlled through power conversion modules, such as electric propulsion system, operate for different purposes of missions. In order to improve the harmonic distortion due to operation of electric propulsion systems, a novel control model for electric propulsion motors is proposed in this paper. The electric motor drivers are controlled through three inverter triggering signals including pulse width modulation (PWM), Quasi-Six Step, and Six-Step for different ship navigation scenarios. Simulation results of application of the proposed model to a practical ship with electric propulsion system are presented. Test results have demonstrated that with the proposed model the harmonic distortions produced by electric propulsion systems under different speed situations can be effectively mitigated and consequently the system supply quality is maintained.
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Glowacz, A. "Diagnostics of DC and Induction Motors Based on the Analysis of Acoustic Signals." Measurement Science Review 14, no. 5 (October 1, 2014): 257–62. http://dx.doi.org/10.2478/msr-2014-0035.

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Abstract In this paper, a non-invasive method of early fault diagnostics of electric motors was proposed. This method uses acoustic signals generated by electric motors. Essential features were extracted from acoustic signals of motors. A plan of study of acoustic signals of electric motors was proposed. Researches were carried out for faultless induction motor, induction motor with one faulty rotor bar, induction motor with two faulty rotor bars and flawless Direct Current, and Direct Current motor with shorted rotor coils. Researches were carried out for methods of signal processing: log area ratio coefficients, Multiple signal classification, Nearest Neighbor classifier and the Bayes classifier. A pattern creation process was carried out using 40 samples of sound. In the identification process 130 five-second test samples were used. The proposed approach will also reduce the costs of maintenance and the number of faulty motors in the industry.
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Kim, Sung-An. "A Study on the Predictive Maintenance Algorithms Considering Load Characteristics of PMSMs to Drive EGR Blowers for Smart Ships." Energies 14, no. 18 (September 13, 2021): 5744. http://dx.doi.org/10.3390/en14185744.

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Exhaust gas recirculation (EGR) is a NOx reduction technology that can meet stringent environmental regulatory requirements. EGR blower systems must be used to increase the exhaust gas pressure at a lower rate than the scavenging air pressure. Electric motor drive systems are essential to rotate the EGR blowers. For the effective management of the EGR blower systems in smart ships, there is a growing need for predictive maintenance technology fused with information and communication technology (ICT). Since an electric motor accounts for about 80% of electric loads driven by the EGR, it is essential to apply the predictive maintenance technology of the electric motor to maximize the reliability and operation time of the EGR blower system. Therefore, this paper presents the predictive maintenance algorithm to prevent the stator winding turn faults, which is the most significant cause of the electrical failure of the electric motors. The proposed algorithm predicts the remaining useful life (RUL) by obtaining the winding temperature value by considering the load characteristics of the electric motor. The validity of the proposed algorithm is verified through the simulation results of an EGR blower system model and the experimental results derived from using a test rig.
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Dissertations / Theses on the topic "Electric motor control systems"

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Skawinski, Grzegorz. "Fuel pump motor-drive systems for more electric aircraft." Thesis, University of Bath, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.527520.

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The fuel systems fitted to the current generation of civil transport aircraft are rather complicated, due to the presence of multiple tanks, pumps, valves and complex pipeline systems. During fuel transfer between the tanks, when controlling the aircraft centre of gravity or engine feed and refuel operations, a number of pumps and valves are involved resulting in complex pressure and flow interactions. In order to minimise the pressure surges during sudden system changes and flow overshoot during fuel transfer and refuelling, different motor drive system control strategies have been investigated. It is proposed that the current control method of electrically driven centrifugal-type pumps could be replaced by improved open and closed loop strategies where the flow overshoot can be minimised and pressure surges reduced. Steady-state and dynamic models of an AC induction motor drive and typical aircraft fuel system pipework components have been developed. The validation of these models has been performed using experimental data obtained from a fuel test rig constructed at the University of Bath using water as the working fluid. The simulation results have been shown to agree well with those from experimentation. In addition, the induction motor has been modelled based on its physical properties using the Finite Element Method software MEGA. The investigated fuel system has been described in linear terms and its behaviour has been identified. It is shown that the system dynamic behaviour can be controlled/improved using well established closed loop proportional-integral control. An open loop technique of simultaneous pump and valve control has been proposed and validated using experimental results, resulting in a reduction of both the transient pressure surges and flow overshoot during sudden valve closures, showing significant performance improvements. Improved closed loop control strategies for the pump drive system have also been developed in simulation. These are based on adaptive proportional-integral-derivative and fuzzy logic control strategies.
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Gao, Yuan, and 高源. "Control of chaos in advanced motor drives." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45014784.

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Khan, Wasim. "Nonlinear and adaptive control of motor drives with compensation of drive electronics." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/13895.

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Bharadwaj, Aravind S. "Vector controlled induction motor drive systems." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-172143/.

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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.
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Saad, S. "Efficiency of mining electrical variable speed drive systems." Thesis, University of Nottingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381103.

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Samaranayake, Lilantha. "Distributed control of electric drives via Ehernet." Licentiate thesis, KTH, Electrical Systems, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1656.

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This report presents the work carried out aiming towardsdistributed control of electric drives through a networkcommunication medium with temporal constraints, i.e, Ethernet.A general analysis on time delayed systems is carried out,using state space representation of systems in the discretetime domain. The effect of input time delays is identified andis used in the preceding controller designs. The main hardwareapplication focused in this study is a Brushless DC servomotor, whose speed control loop is closed via a 10 MbpsSwitched Ethernet network. The speed control loop, which isapproximately a decade slower than the current control loop, isopened and interfaced to the network at the sensor/actuatornode. It is closed at the speed controller end at another nodein the same local area network (LAN) forming a distributedcontrol system (DCS).

The Proportional Integral (PI) classical controller designtechnique with ample changes in parameter tuning suitable fortime delayed systems is used. Then the standard Smith Predictoris tested, modified with the algebraic design techniqueCoefficient Diagram Method (CDM), which increases the systemdegrees of freedom. Constant control delay is assumed in thelatter designs despite the slight stochastic nature in thetiming data observations. Hence the poor transient performanceof the system is the price for the robustness inherited to thespeed controllers at the design stage. The controllability andobservability of the DCS may be lost, depending on the range inwhich the control delay is varying. However a state feedbackcontroller deploying on-line delay data, obtained by means ofsynchronizing the sensor node and controller node systemclocks, results in an effective compensation scheme for thenetwork induced delays. Hence the full state feedbackcontroller makes he distributed system transient performanceacceptable for servo applications with the help of poleplacement controller design.

Further, speed synchronizing controllers have been designedsuch that a speed fluctuation caused by a mechanical loadtorque disturbance on one motor is followed effectively by anyother specified motor in the distributed control network with aminimum tracking or synchronizing error. This type ofperformance is often demanded in many industrial applicationssuch as printing, paper, bagging, pick and place and materialcutting.

Keywords:Brushless DC Motor, Control Delay, DistributedMotion Control Systems, Proportional Integral Controller, SmithPredictor, Speed Synchronization, State Feedback Controller,Stochastic Systems, Switched-Ethernet, Synchronizing Error,Time Delayed Systems, Tracking Error

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Yeoh, Seang Shen. "Control strategies for the More Electric Aircraft starter-generator electrical power system." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/34098/.

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The trend towards development of More Electric Aircraft (MEA) has been driven by increased fuel fossil prices and stricter environmental policies. This is supported by breakthroughs in power electronic systems and electrical machines. The application of MEA is expected to reduce the aircraft mass and drag, thereby increasing fuel efficiency and reduced environmental impact. The starter-generator (S/G) scheme is one of the solutions from the MEA concept that brings the most significant improvement to the electrical power generation system. A S/G system is proposed from the possible solutions brought by the MEA concept in the area of electrical power generation and distribution. Due to the wide operating speed range, limited controller stability may be present. This thesis contributes to the control plant analysis and controller design of this MEA S/G system. The general control requirements are outlined based on the S/G system operation and the control structure is presented. The control plants are derived specifically to design the controllers for the S/G control scheme. Detailed small signal analysis is performed on the derived plant while taking into consideration the aircraft operating speed and load range. A safe range for the controller gains can then be determined to ensure stable operation throughout the S/G operation. Adaptive gain and a novel current limit modifier are proposed which improves the controller stability during S/G operation. Model predictive control is considered as an alternative control strategy for potential control performance improvements with the S/G system. The technical results and simulations are supported by Matlab®/Simulink® based models and validated by experimental work on a small scaled drive system.
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Wai, Lo-kau. "Microprocessor-based field-oriented control of a synchronous motor drive using a three-phase solid-state sinusoidal current source /." Hong Kong : University of Hong Kong, 1988. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12434425.

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韋盧溝 and Lo-kau Wai. "Microprocessor-based field-oriented control of a synchronous motor drive using a three-phase solid-state sinusoidal current source." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31208940.

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Books on the topic "Electric motor control systems"

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Rockis, Gary. Electrical motor controls: Automated industrial systems. 2nd ed. Homewood, Ill: American Technical Publishers, 1987.

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Rockis, Gary. Electrical motor controls: Automated industrial systems. 3rd ed. Homewood, Ill: American Technical Publishers, 1992.

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Vodovozov, V. M. Electronic systems of motor drive. Tallinn: TUT Press, 2008.

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Vodovozov, V. M. Electronic systems of motor drive. Tallinn: TUT Press, 2008.

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Patrick, Dale R. Electrical motor control systems: Electronic and digital controls : fundamentals and applications. Tinley Park, IL: Goodheart-Willcox, 2000.

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Electric motors and control systems. Boston: McGraw Hill Higher Education, 2010.

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

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Meeting, IEEE Industry Applications Society. Microprocessor control of motor drives and power converters. New York: The Society, 1991.

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1966-, Hu Jun, and Burg Timothy C, eds. Nonlinear control of electric machinery. New York: Dekker, 1998.

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Ovsyannikov, Evgeniy, and Tamara Gaytova. Optimal control of traction electric drives. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141767.

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The monograph considers various types of traction electric drives of motor vehicles intended for operation in urban conditions. Mathematical models of these systems are proposed. On the basis of parametric optimization and graphoanalytic method, a method of joint control of electric drives according to the criteria of minimum losses and maximum overload capacity, taking into account possible restrictions on the resources of power elements, has been developed. For a wide range of readers interested in improving motor vehicles. It will be useful for students, postgraduates and teachers of engineering and technical universities.
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Book chapters on the topic "Electric motor control systems"

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Denton, Tom. "Motors and control systems." In Electric and Hybrid Vehicles, 121–40. 2nd edition. | Abingdon, Oxon ; New York, NY : Routledge, [2020]: Routledge, 2020. http://dx.doi.org/10.1201/9780429296109-6.

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Assche, Vincent Van, Philippe Dorléans, Jean-François Massieu, and Tarek Ahmed-Ali. "Observers Design for Systems with Sampled Measurements, Application to AC Motors." In AC Electric Motors Control, 105–22. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch6.

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Hu, Shuangyi, Xuemei Ren, and Wei Zhao. "Synchronous Control of Multi-motor Driving Servo Systems." In Lecture Notes in Electrical Engineering, 611–20. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6496-8_56.

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Gurunath, Konka, and A. Vijayakumari. "Regenerative Braking Control of Induction Motor in Electric Vehicles for Optimal Energy Recovery." In Advances in Intelligent Systems and Computing, 229–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30465-2_26.

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Mhatre, Akshaya, and Archana Thosar. "Position-Sensorless Control System for Electric Vehicle with Brushless DC Motor." In Lecture Notes in Electrical Engineering, 325–34. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0336-5_27.

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Kochgabay, Pratik, P. Ramesh, and N. C. Lenin. "Design of Synchronous Reluctance Motor for Ceiling Fan Application." In Advances in Electrical Control and Signal Systems, 263–72. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5262-5_18.

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Khorrami, Farshad, Prashanth Krishnamurthy, and Hemant Melkote. "Robust Adaptive Control of a Class of Nonlinear Systems." In Modeling and Adaptive Nonlinear Control of Electric Motors, 77–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-08788-6_6.

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Jategaonkar, Aneesh, P. Ramesh, Pratik Kochgabay, and N. C. Lenin. "Electromagnetic and Thermal Analysis of Permanent Magnet BLDC Wiper Motor." In Advances in Electrical Control and Signal Systems, 405–14. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5262-5_29.

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Shanmugasundaram, R., C. Ganesh, and A. Singaravelan. "ANN-Based Controllers for Improved Performance of BLDC Motor Drives." In Advances in Electrical Control and Signal Systems, 73–87. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5262-5_6.

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Silveira, Alexandre, Rui Esteves Araújo, and Ricardo de Castro. "Survey on Fault-Tolerant Diagnosis and Control Systems Applied to Multi-motor Electric Vehicles." In Technological Innovation for Sustainability, 359–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19170-1_39.

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Conference papers on the topic "Electric motor control systems"

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Kong, Kyoungchul, Helge C. Kniep, and Masayoshi Tomizuka. "Control of Electric Motor Systems Considering Input/Output Saturation." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2513.

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Input saturation is a well-known nonlinearity in mechanical control systems; it constrains the maximum acceleration, which results in a limitation of the system response time. Input saturation has been considered in controller design in various ways, e.g., anti-windup control. In addition to the input, the state variables of mechanical systems are often subject to saturation. For example, the maximum angular velocity of electric motor systems is limited by the maximum voltage provided for the motor. In the case of electronically commutated motors (i.e. brushless DC motors) the maximum speed is additionally constrained by limitations of the servo amplifier output. If gears are utilized, further constraints are introduced due to resonances in ball bearings and/or velocity dependent friction. Although such factors are significant in practice, they have not been fully considered in controller design. This paper investigates the input and output saturations and presents how they may be considered in the controller design; a Kalman filter, a PID controller, and a disturbance observer are designed in view of input/output saturations. A case study is provided to verify the proposed methods.
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Shardlow, M. A., and J. J. Greening. "D.C. motor control." In IET Professional Development Course on Electric Traction Systems. IEE, 2008. http://dx.doi.org/10.1049/ic:20080507.

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Shardlow, M. A., and J. J. Greening. "DC motor control." In IET Professional Development Course on Electric Traction Systems. Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/ic.2012.0075.

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Shardlow, M. A., and J. J. Greening. "D.C. motor control." In IET Professional Development Course on Electric Traction Systems. IET, 2010. http://dx.doi.org/10.1049/ic.2010.0189.

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Kimbrough, Scott, and Larry Dewell. "Electric Motor Selection for Motion Control Systems." In 1990 American Control Conference. IEEE, 1990. http://dx.doi.org/10.23919/acc.1990.4791096.

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Kim, Shinhoon, Nasser L. Azad, and John McPhee. "High-Fidelity Modelling of an Electric Vehicle." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9743.

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The development and validation of a high-fidelity dynamics model of an electric vehicle is presented. The developed model is comprised of two subsystems: i) the vehicle dynamics model, and ii) the electrical powertrain subsystem consists of the alternating-current (AC) induction motor, the 3-phase pulse-width-modulation (PWM) inverter, and the motor controllers. At each stage of the development, the developed models are verified by studying their simulation results. Also, vehicle testing is performed using a reference electric vehicle and experimental powertrain data is measured from the vehicle’s electrical powertrain controller area network (CAN) bus. The experimental motor torque-speed curves are used to tune the AC electric motor model parameters. Once the individual components are developed and validated, the high-fidelity electric vehicle system model is created by assembling the MapleSim vehicle dynamics model and the electrical powertrain subsystem. The simulation results, such as the vehicle’s longitudinal speed and developed motor torque and currents, are presented and studied to verify that the electric vehicle system can operate under different driving scenarios. The high-fidelity electric vehicle model will be used in future work to test and validate new power management controllers.
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Shardlow, M. A., and J. J. Greening. "D.C. Motor Control." In IET 13th Professional Development Course on Electric Traction Systems. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1436.

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Shardlow, M. A., and J. J. Greening. "D.C. motor control." In 9th IET Professional Development Course on Electric Traction Systems. IEE, 2006. http://dx.doi.org/10.1049/ic:20060200.

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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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Li, Tianpei, Qadeer Ahmed, Giorgio Rizzoni, Jason Meyer, Mathew Boesch, and Bader Badreddine. "Motor Resolver Fault Propagation Analysis for Electrified Powertrain." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5408.

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As an integral part of electrified powertrain, resolver is broadly used to do position and speed sensing for electric motors, subject to different types of resolver faults. This paper investigates the resolver fault propagation in electrified powertrain, with focus on the amplitude imbalance, quadrature imperfection and reference phase shift in the resolver position sensing system. The resolver fault effects in the Permanent Magnet Synchronous Machine (PMSM) drive system are first analyzed based on the mathematical model of a surface mounted PMSM with direct Field-oriented Control (FOC). Then the resolver fault propagation in the powertrain is studied in terms of two different motor operating conditions, motor torque control and motor speed control. Simulation is done in Matlab/Simulink based on the PMSM drive model and the powertrain-level simulator to verify the fault propagation analyses. The results can be used to help design the resolver fault diagnostic strategy and determine speed matching condition between engine and electric motor for mode transition control in hybrid electric vehicles.
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Reports on the topic "Electric motor control systems"

1

None, None. United States industrial electric motor systems market opportunities assessment. Office of Scientific and Technical Information (OSTI), December 2002. http://dx.doi.org/10.2172/1215858.

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2

Meyers, S., P. Monahan, P. Lewis, S. Greenberg, and S. Nadel. Electric motor systems in developing countries: Opportunities for efficiency improvement. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10187187.

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None, None. United States industrial electric motor systems market opportunities assessment: Executive summary. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/1215865.

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Lesieutre, Bernard C., and Daniel K. Molzahn. Optimization and Control of Electric Power Systems. Office of Scientific and Technical Information (OSTI), October 2014. http://dx.doi.org/10.2172/1159823.

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Fornaciari, Neal R. Advanced Particle Control for Electric Discharge Light Systems. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/794246.

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Kirkham, H. Communications and control for electric power systems: Final report. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/629481.

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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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Bajura, Richard, and Ali Feliachi. Integrated Computing, Communication, and Distributed Control of Deregulated Electric Power Systems. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/938476.

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Phadke, A., S. Horowitz, and J. Thorp. Integrated hierarchical computer systems for adaptive protective relaying and control of electric transmission power systems. Office of Scientific and Technical Information (OSTI), November 1989. http://dx.doi.org/10.2172/5382017.

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Chiang, Hsiao-Dong, Ray D. Zimmerman, and Robert J. Thomas. TAS: 89 0227: TAS Recovery Act - Optimization and Control of Electric Power Systems: ARRA. Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1126436.

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