Relevant bibliographies by topics / Electric motor control

Contents

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

Academic literature on the topic 'Electric motor control'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Electric motor control"

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Danardono, A. S., Didi Widya Utama, and Gandjar Kiswanto. "Design and Development of Simple Control System for Small Hybrid Electric Vehicle." Applied Mechanics and Materials 165 (April 2012): 73–77. http://dx.doi.org/10.4028/www.scientific.net/amm.165.73.

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This research describes the scope of design and test a traction controller to combine a 6.54 kW gasoline engine power and 2x48VDC/0.5 kW electrical brushless motors in a serial-parallel type of small hybrid electric vehicle. A central control system was designed to operate the engine which is equipped with continuous variable transmission and electric motor on rear wheel side in order to select the optimal torque in normal driving condition. The battery charging system draws its energy from the engine using two alternators: 80 Watt built-in alternator and 300 Watt additional alternator which is driven using a power take-off unit. To increase the electric charging capacity, the electric motor is able to operate as a generator during acceleration or deceleration condition (regenerative system). The static preliminary testing shows that the electric motor can generate about 38% of nominal motors power at 730 rpm of wheel rotation.
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Nekrasov, A. I., and A. A. Nekrasov. "ELECTRIC MOTOR WINDING HEATING CONTROL." VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY 55, no. 3 (September 25, 2020): 107–12. http://dx.doi.org/10.31563/1684-7628-2020-55-3-107-112.

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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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Werninck, E. H. "Electric Motor Drives." Measurement and Control 19, no. 8 (October 1986): 205–8. http://dx.doi.org/10.1177/002029408601900801.

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Bhadane, Pravin, Pooja Patil, Nisha Singh, and Priya Mishra. "CONTROL OF ELECTRIC MOTOR USING BLUETOOTH." International Journal of Computer Sciences and Engineering 6, no. 10 (October 31, 2018): 541–44. http://dx.doi.org/10.26438/ijcse/v6i10.541544.

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Kuschel, Thomas. "Motor Control Microcontrollers for Electric Cars." ATZelektronik worldwide 6, no. 2 (April 2011): 26–31. http://dx.doi.org/10.1365/s38314-011-0018-5.

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Ekberg, Kristoffer, Lars Eriksson, and Christofer Sundström. "Electrification of a Heavy-Duty CI Truck—Comparison of Electric Turbocharger and Crank Shaft Motor." Energies 14, no. 5 (March 4, 2021): 1402. http://dx.doi.org/10.3390/en14051402.

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A combustion engine-driven vehicle can be made more fuel efficient over some drive cycles by, for example, introducing electric machines and solutions for electrical energy storage within the vehicle’s driveline architecture. The possible benefits of different hybridization concepts depend on the architecture, i.e., the type of energy storage, and the placement and sizing of the different driveline components. This paper examines a diesel electric plug-in hybrid truck, where the powertrain includes a diesel engine supported with two electric motors, one supporting the crank shaft and one the turbocharger. Numerical optimal control was used to find energy-optimal control strategies during two different accelerations; the trade-off between using electrical energy and diesel fuel was evaluated using a simulation platform. Fixed-gear acceleration was performed to evaluate the contribution from the two electric motors in co-operation, and individual operation. A second acceleration test case from 8 to 80 km/h was performed to evaluate the resulting optimal control behavior when taking gear changes into account. A cost factor was used to relate the cost of diesel fuel to electrical energy. The selection of the cost factor relates to the allowed usage of electrical energy: a high cost factor results in a high amplification from electrical energy input to total system energy savings, whereas a low cost factor results in an increased usage of electrical energy for propulsion. The difference between fixed-gear and full acceleration is mainly the utilization of the electric crank shaft motor. For the mid-range of the cost factors examined, the crank shaft electric motor is used at the end of the fixed-gear acceleration, but the control sequence is not repeated for each gear during the full acceleration. The electric motor supporting the turbocharger is used for higher cost factors than the crank shaft motor, and the amplification from electrical energy input to total energy savings is also the highest.
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Fu, Xiang, Yong He, and Di Xu. "Research of Electric Differential Control for Motor-Wheel-Drive Electric Vehicle." Applied Mechanics and Materials 310 (February 2013): 540–43. http://dx.doi.org/10.4028/www.scientific.net/amm.310.540.

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The Electric Differential Control for Motor-Wheel-Drive Electric Vehicle is discussed. And then the self-regulation method to realize the electric differential by controlling the torque of the motor and freeing the speed of the wheels has been proposed. Firstly, tire-road dynamics modeling has been established, Control system of Motor-Wheel-Drive Electric Vehicle has been designed. Secondly, simulation platform of Motor-Wheel-Drive Electric Vehicle has been established. Lastly, simulation for electric differential control of Motor-Wheel-Drive Electric Vehicle has been validated. The simulation results show that the self-regulation method by controlling the torque of the motor and freeing the speed of the wheels is effective. Each wheel speed and the corresponding wheel speed automatically keep coordination; it can realize the self-regulation differential, no wheel slipping or sliding phenomenon.
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Kravchenko, Galina A., Elvira L. Lvova, Alexey M. Makarov, and Sergey V. Stolyarov. "THE METHOD OF CONTINUOUS AUTOMATED RESISTANCE CONTROL OF HIGH VOLTAGE MOTOR INSULATION." Vestnik Chuvashskogo universiteta, no. 3 (September 25, 2020): 94–101. http://dx.doi.org/10.47026/1810-1909-2020-3-94-101.

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Electrical machines are widely used in various branches of the national economy. In particular, electric motors are one of the main elements in electrical power generation systems. The electric machines used at this ensure reliable operation of individual power units and the entire power supply system in general. The reliability of engines’ operation is largely determined by the quality of its insulation, that is why the improvement of methods for controlling the isolation of high voltage asynchronous motors is an actual task. The aim of the research is to develop a method of continuous automated control of electric insulation condition in stator windings of an asynchronous motor basing on the analysis of experimental and industrial operation data making it possible to estimate the dynamics of changes in the main insulation parameters. The main elements showing reliability of high-voltage electric machines, applied electro-insulation structures, methods for controlling insulation resistance in a high-voltage electric motor are considered in the article. The research performed was based on the results of the experimental and industrial operation of the automated system of insulation control under working voltage at the real facility carried out by the group of companies «Energopribor» of the town of Cheboksary. The analysis of existing methods for insulation control is given, the scheme of insulation control by superpositioning test current with the frequency which is different from industrial one. The authors propose the method to estimate the dynamics of resistance changes in insulation of stator windings of the asynchronous motor, to reveal its approximation to the maximum permissible state in the process of operation and in reserve shutdown. Software modeling was carried out, the results of which correspond to the data of experimental and industrial operation. The results obtained during the research allowed to systematize the obtained experimental data, to modernize the hardware part of the diagnostic complex DUKAT-SCAD, to outline the criteria area for its applicability.
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Liu, Xiang, Mian Li, and Min Xu. "A new anti-skid control method for electric vehicles using the motor torque and the wheel acceleration with experimental verification." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 231, no. 3 (August 5, 2016): 347–59. http://dx.doi.org/10.1177/0954407016639444.

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Driving electric vehicles by electric motors can result in many unique advantages for dynamic control of electric vehicles. With the superior fast and accurate torque control performance of electric motors, electric vehicles, in particular, can achieve higher levels of safety and handling performance. A simple, effective and efficient anti-skid control method specified for electric vehicles is proposed in this paper by considering the real-world resistance factors. This method is developed on the basis of sensing and regulating a newly defined parameter, namely the ratio of the drive motor torque to the angular acceleration of the wheels, both of which can be easily obtained for electric motors. The monotonic relationship between the slip ratio and the ratio of the drive motor torque to the angular acceleration of the wheels is proved under both acceleration conditions and deceleration conditions, by considering the real-world resistance factors. The simulations and the experimental results show that the ratio of the drive motor torque to the angular acceleration of the wheels can be efficiently used, instead of the slip ratio, in anti-skid control. The results indicate that electric vehicles can achieve high-performance vehicle motion control with more flexible and simplified configurations by using in-wheel electric motors.
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Dissertations / Theses on the topic "Electric motor control"

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Griph, Sofie. "Electric Motor Controlled Joint Simulator." Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129753.

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Tightening systems are used in several industries, including assembly in the auto- motive industry and installation of computer hardware. Both the company mak- ing the tools and the customers need to know the performance of the tightening system to ensure that the screw joints tighten as desired. This can be done using a test joint system. High demands on safety as well as fast assembly speeds, puts high demands on the test equipment. The problem with the existing test joints is that they are hard to do repeatable tests on. The most common test joints are constructed us- ing mechanic or hydraulic systems. The mechanical systems have problems with wear of screws, changes in lubrication etc., while the hydraulic systems some- times are too slow. This master’s thesis is a study of whether it would be possible to construct a test joint using an electric motor. The electric motor together with a controller should simulate a screw joint so that the tool would perceive it as a real one. All investigation has been performed by system modeling and simulations in MATLAB. Four different control structures have been evaluated: a PID controller, one combined controller which uses feedforward from reference as well as distur- bance, one which is based on the same structure as the second but with an added inner current loop and the last one is an LQ controller. The conclusion is that it is possible to make a test joint using an electric motor and that the LQ controller seems to be the best choice. To prove the result, a few more aspects could be investigated more closely. One is to add a dynamic model of the tool, now only the reference to the tool is used. Another is to implement it on hardware.
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Proca, Amuliu Bogdan. "Induction Motor Control for Hybrid Electric Vehicle Applications." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1392745228.

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Druyts, Jan. "Control induction motor by frequency converter : Simulation electric vehicle." Thesis, Halmstad University, Energiteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4968.

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Summary

 Today we are probably on a point of change for the car industry. The last century was the century of vehicles with internal combustion engines. Fossil fuels were relative cheap, easy accessible and they have a high specific energy. The pollution and dependency on oil caused the last decade an increasing demand for alternatives. Alternatives for electric power plants and for car drives. Yet the turnover to hybrids is a fact and much research is done for pure electric vehicles. Research about the control of electric motors is by that become a hot topic.

To simulate an electric vehicle drive with an induction motor, a frequency converter is needed. This combination of motor and converter led to many possible experiments. With a few experiments already done and a broad theoretical background report this thesis provides a good bundle of information to start with further experiments. The experiments can become even broader when a flywheel is added as mass inertia momentum and a DC source on the DC-link. Both elements contribute for a better simulation of an electric motor in an electric vehicle.

What is described in this theoretical report about the combination of an induction motor and converter is only the tip of the iceberg. I had too less time to begin experimenting with the flying wheel. The DC-link voltage becomes ca. 540V. From the perspective of safety I could never work alone with the DC-link. Even with a companion it was too dangerous because the equipment of the Halmstad University is not made for such dangerous voltages. That’s why this thesis contains more theoretical background and less actual practical data.


SAMENVATTING

Momenteel bevinden we ons in een tijd van omslag. Na een eeuw waarin de brandstofmotor het transportlandschap domineerde, is er nood aan een alternatief. Fossiele brandstof zorgt voor schadelijke uitlaatgassen bij verbranding en de afhankelijkheid van andere landen voor de bevoorrading van fossiele brandstof blijft altijd een risicofactor. De eerste stap in deze verandering is gezet met de ontwikkeling van hybride wagens. De toekomst zal waarschijnlijk helemaal elektrisch worden. Daarom is het onderzoek naar de controle van elektrische motoren belangrijk.

In de universiteit van Halmstad zijn er verscheidene inductiemotoren aanwezig in het elektriciteitslabo. De doelstelling was dat ik een frequentieomvormer selecteerde, bestelde en parametreerde op basis van deze motoren. Daarnaast kreeg ik de vrijheid om een elektrische wagen te simuleren. Dit zou ik doen door een vliegwiel voor de traagheid en door een batterij na te bootsen om de DC-link te voeden. Al mijn informatie moest ik bundelen in deze thesistekst zodat het eventueel een handige bundel werd voor toekomstige studenten die willen werken met de convertor.

Ik had slechts 2 maanden de tijd om dit uit te voeren, metingen te doen en een theoretisch verslag te schrijven. Vanwege deze korte tijdspanne was het niet mogelijk het vliegwiel te implementeren. Daarnaast was de tussenkringspanning ongeveer 540V DC. Dit is zeer gevaarlijk zodat ze liever hadden dat ik de proeven met een gesimuleerde batterij liet varen. Dit verklaart enigszins waarom uitgebreide meetresultaten ontbreken en deze thesis vooral een bredere theoretische toets heeft.

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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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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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Rind, S. J. "Speed sensorless induction motor drive control for electric vehicles." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3008062/.

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Fast diminishing fossil fuel resources, deterioration in air quality and concerns for environmental protection, continuously promote the interest in the research and development of Alternative Energy Vehicles (AEVs). Traction motor drive is an integral part and common electric propulsion system in all kinds of AEVs. It plays an utmost significant role in the development of electrified transport industry. Application of Induction Motor (IM) drive is not only limited to the domestic and industrial applications but also has an ubiquitous influence in the modern electrified transport sector. IM is characterized by a simple and rugged structure, operational reliability, low maintenance, low cost, ability to operate in a hostile environment and high dynamic performance. However, IM is one of the widely accepted choices by Electric Vehicles (EVs) manufacturer. At present, Variable speed IM drive is almost replacing the traditional DC motor drive in a wide range of applications including EVs where a fast dynamic response is required. It became possible after the technological advancement and development in the field of power switching devices, digital signal processing and recently intelligent control systems have led to great improvements in the dynamic performance of traction drives. Speed Sensorless control strategies offer better system’s reliability and robustness and reduce the drive cost, size and maintenance requirements. Sensorless IM drives have been applied on medium and high speed applications successfully. However, instability at low speed and under different load disturbance conditions are still a critical problem in this research field and has not been robustly achieved. Some application such as traction drives and cranes are required to maintain the desired level of torque down to low speed levels with uncertain load torque disturbance conditions. Speed and torque control is more important particularly in motor-in-wheel traction drive train configuration EVs where vehicle wheel rim is directly connected to the motor shaft to control the speed and torque. The main purpose of this research is to improve the dynamic performance of conventional proportional-integral controller based model reference adaptive system (PI-MRAS) speed observer by using several speed profiles under different load torque disturbance conditions, which is uncertain during the whole vehicle operation apart from the vehicle own load. Since, vehicle has to face different road conditions and aerodynamic effects which continuously change the net load torque effect on the traction drive. This thesis proposes different novel methods based on the fuzzy logic control (FLC) and sliding mode control (SMC) with rotor flux MRAS. Numerous simulations and experimental tests designed with respect to the EV operation are carried out to investigate the speed estimation performance of the proposed schemes and compared with the PI-MRAS speed observer. For simulation and experimental purpose, Matlab-Simulink environment and dSPACE DS-1104 controller board are used respectively. The results presented in this thesis show great performance improvements of the proposed schemes in speed estimation & load disturbance rejection capability and provide a suitable choice of speed sensoless IM drive control for EVs with cost effectiveness.
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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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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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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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FREITAS, DANIEL ZACARIAS. "EFFICIENCY ANALYSIS AND CONTROL OF AN INTEGRATED IN-WHEEL ELECTRIC MOTOR." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26373@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Esta dissertação apresenta o estudo para o desenvolvimento de um powertrain elétrico com motorização independente na massa não suspensa do veículo, acoplado diretamente nas rodas In Wheel ou Hub-Motor . O desenvolvimento do sistema proposto visa à maximização da eficiência dos veículos elétricos pela minimização das perdas relacionadas a sistemas mecânicos, como na transmissão convencional utilizada em veículos com motorização única. Outro fator motivador para o desenvolvimento do powertrain com motorização independente é a aplicação de controles independentes para cada roda, possibilitando desenvolver e aplicar uma gama de controles no veículo, os quais com a motorização única não são possíveis ou possuem desempenho não satisfatório. O trabalho apresenta uma visão geral sobre os veículos elétricos, o estudo do comportamento dinâmico vertical com o aumento da massa não suspensa do veículo, desenvolvimento de um controle de velocidade para o powertrain proposto, desenvolvimento de um controle de frenagem ABS elétrico, simulação do sistema em ciclos de direção com o cálculo da eficiência energética do powertrain, e um experimento em um dinamômetro de bancada para validação da eficiência energética dos ciclos simulados.
This paper presents a study for the development of an electric powertrain with independent engines in the vehicle mass not suspended, directly coupled to the wheels In Wheel or Hub-Motor . The development of the proposed system aims at maximizing the efficiency of electric vehicles by minimizing losses related to mechanical systems, as in conventional transmission used in vehicles with single engine. Another motivating factor for the development of powertrain with independent engines is the application of independent controls for each wheel, allowing for the development and application of a range of controls in the vehicle, which would not be possible or would have unsatisfactory performance if a single engine was used. This work presents an overview of electric vehicles, the study of the dynamic vertical behavior with increasing mass of the suspended vehicle, development of a speed control for the proposed powertrain, development of an electric ABS braking control, system simulation toward cycles to calculate the energy efficiency of the powertrain, and an experiment on a bench dynamometer to validate the energy efficiency of simulated cycles.
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Books on the topic "Electric motor control"

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

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L, Herman Stephen, ed. Electric motor control. 6th ed. Albany: Delmar Publishers, 1998.

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

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

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R, Miller Mark, ed. Electric motor controls. Englewood Cliffs, N.J: Prentice-Hall, 1992.

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

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

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Herman, Stephen L. Industrial motor control. 3rd ed. Albany, N.Y: Delmar Publishers, 1993.

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

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Senty, Steve. Motor control fundamentals. Australia: Delmar, 2013.

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Book chapters on the topic "Electric motor control"

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Zanasi, Roberto, and Giovanni Azzone. "Multiphase Induction Motor Control." In AC Electric Motors Control, 233–52. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch12.

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Bodson, Marc, and Fouad Giri. "Introduction to AC Motor Control." In AC Electric Motors Control, 1–13. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch1.

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Rahman, Faz, and Rukmi Dutta. "AC Motor Control Applications in Vehicle Traction." In AC Electric Motors Control, 453–86. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch21.

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Chattopadhyay, Ajit K. "AC Motor Control Applications in High-Power Industrial Drives." In AC Electric Motors Control, 509–52. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch23.

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Ghanes, Malek, and Xuefang Lin Shi. "Experimental Evaluation of Observer Design Technique for Synchronous Motor." In AC Electric Motors Control, 123–35. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch7.

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Guziński, Jarosław, Zbigniew Krzeminski, Arkadiusz Lewicki, Haitham Abu-Rub, and Marc Diguet. "Induction Motor Control Application in High-Speed Train Electric Drive." In AC Electric Motors Control, 487–508. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch22.

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Ramírez, Hebertt Sira, Felipe González Montañez, John Cortés Romero, and Alberto Luviano-Juárez. "State Observers for Active Disturbance Rejection in Induction Motor Control." In AC Electric Motors Control, 78–104. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch5.

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De León, Jesús, Alain Glumineau, Dramane Traore, and Robert Boisliveau. "Experimental Evaluation of Nonlinear Control Design Techniques for Sensorless Induction Motor." In AC Electric Motors Control, 207–32. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch11.

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Fadili, Abderrahim El, Abdelmounime El Magri, Hamid Ouadi, and Fouad Giri. "Nonlinear Control for Speed Regulation of Induction Motor with Optimal Energetic Efficiency." In AC Electric Motors Control, 188–206. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch10.

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Corradini, Maria Letizia, Gianluca Ippoliti, and Giuseppe Orlando. "Robust Fault Detection for a Permanent-Magnet Synchronous Motor Using a Nonlinear Observer." In AC Electric Motors Control, 370–80. Oxford, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118574263.ch17.

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Conference papers on the topic "Electric motor control"

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Bodson, M. "Electronic chips for electric motor control." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.611796.

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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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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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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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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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Ilic-Spong, M., T. J. E. Miller, S. R. MacMinn, and J. S. Thorp. "Instantaneous torque control of electric motor drives." In 1985 IEEE Power Electronics Specialists Conference. IEEE, 1985. http://dx.doi.org/10.1109/pesc.1985.7070928.

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