Academic literature on the topic 'Induction Motors - Vector Control'

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Journal articles on the topic "Induction Motors - Vector Control"

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Varga, László, and Miklós Kuczmann. "Methods of Vector Control for Induction Motors." Acta Technica Jaurinensis 11, no. 4 (October 30, 2018): 165–84. http://dx.doi.org/10.14513/actatechjaur.v11.n4.470.

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This paper presents the electrical and mathematical models of the three phase asynchronous motors along with the introduction of the field-oriented control model as well as the vector transformations needed for the introduction of the above mentioned terms. The objective of the present paper is to introduce the space vectors and how to build the field-oriented control for a given induction motor drive as well as the transformations and the modell of field oriented control.
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Gao, Fang, and Li Wei. "The Research of the Asynchronous Motor Vector Control Arithmetic." Applied Mechanics and Materials 157-158 (February 2012): 878–81. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.878.

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This paper is based on analysis of mathematical model of the induction motor and the basis of the asynchronous motor vector control principle puts forward a torque of inner closed-loop speed, flux vector control system of induction motors. Using Matlab/Simulink construct simulation model and the simulation results are analyzed.
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Shinnaka, Shinji. "Adaptive Vector Control of Servo Induction Motors." IEEJ Transactions on Industry Applications 117, no. 8 (1997): 1024–32. http://dx.doi.org/10.1541/ieejias.117.1024.

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Sun, Xiaodong, Long Chen, and Zebin Yang. "Overview of Bearingless Induction Motors." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/570161.

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Bearingless induction motors combining functions of both torque generation and noncontact magnetic suspension together have attracted more and more attention in the past decades due to their definite advantages of compactness, simple structure, less maintenance, no wear particles, high rotational speed, and so forth. This paper overviews the key technologies of the bearingless induction motors, with emphasis on motor topologies, mathematical models, and control strategies. Particularly, in the control issues, the vector control, independent control, direct torque control, nonlinear decoupling control, sensorless control, and so forth are investigated. In addition, several possible development trends of the bearingless induction motors are also discussed.
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SHINNAKA, Shinji, Norio SAKAKIBARA, and Hideki FUKAZAWA. "A Unified Vector Analysis for Vector Control of Induction Motors." Transactions of the Society of Instrument and Control Engineers 30, no. 7 (1994): 760–66. http://dx.doi.org/10.9746/sicetr1965.30.760.

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Fan, Bo, Leipo Liu, Zhumu Fu, and Jiangtao Fu. "DC pre-excitation starting control for induction motor base on flux identification and compensation." at - Automatisierungstechnik 67, no. 7 (July 26, 2019): 587–98. http://dx.doi.org/10.1515/auto-2018-0111.

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Abstract Vector control can not be well applied directly to the starting of large-power induction motors. The starting current is so large as to cause damage to power-conductors and the whole control system. A novel pre-excitation control strategy is proposed in this paper. A magnetic field is built in large power motor startup firstly, in which DC pre-excitation is adopted and the rotor flux orientation is set to coincide with the center line of motor’s one phase winding. With the completion of this pre-excitation, the control strategy is switched to the vector control. The excitation subsystem and the torque subsystem in the motor can be decoupled dynamically after this pre-excitation and vector control. The experimental results show that the motor’s starting current rises smoothly and its output torque has fast response. This control strategy is capable of reducing the motor’s starting current peak and improving the safety of induction motor’s startup.
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Lee, Hong-Hee, and Yerganat Khojakhan. "New Loss Minimization Vector Control for Induction Motors." Transactions of The Korean Institute of Electrical Engineers 60, no. 6 (June 1, 2011): 1140–45. http://dx.doi.org/10.5370/kiee.2011.60.6.1140.

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Romero, M. E., J. A. De Doná, and M. M. Seron. "Sensor fault-tolerant vector control of induction motors." IET Control Theory & Applications 4, no. 9 (September 1, 2010): 1707–24. http://dx.doi.org/10.1049/iet-cta.2009.0464.

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Asgari, Seyed Hesam, Mohammad Jannati, Tole Sutikno, and Nik Rumzi Nik Idris. "Vector Control of Three-Phase Induction Motor with Two Stator Phases Open-Circuit." International Journal of Power Electronics and Drive Systems (IJPEDS) 6, no. 2 (June 1, 2015): 282. http://dx.doi.org/10.11591/ijpeds.v6.i2.pp282-292.

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<p>Variable frequency drives are used to provide reliable dynamic systems and significant reduction in usage of energy and costs of the induction motors. Modeling and control of faulty or an unbalanced three-phase induction motor is obviously different from healthy three-phase induction motor. Using conventional vector control techniques such as Field-Oriented Control (FOC) for faulty three-phase induction motor, results in a significant torque and speed oscillation. This research presented a novel method for vector control of three-phase induction motor under fault condition (two-phase open circuit fault). The proposed method for vector control of faulty machine is based on rotor FOC method. A comparison between conventional and modified controller shows that the modified controller has been significantly reduced the torque and speed oscillations.</p>
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Li, Guo Hua, and Ji Qiang Wang. "Speed Sensor-Less Indirect Vector Control System Based on a Novel Sliding Mode Control Speed Observer." Advanced Materials Research 383-390 (November 2011): 196–201. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.196.

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Vector control is one of the most popular control techniques of induction motors. Owing to its simplicity, the indirect vector control gains increasing popularity. This paper proposes a speed sensor-less indirect vector control system of induction motors based on a novel sliding mode control (SMC) speed observer. The observer uses the stator current difference of the estimated value and the actual value to calculate the rotor speed. The simulation results show that the method has a fast response and high accuracy, and it robust to parameter variations.
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Dissertations / Theses on the topic "Induction Motors - Vector Control"

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Zhang, Zaining. "Sensorless vector control for induction motors." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340849.

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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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Ozcelik, Eray. "Speed Sensorless Vector Control Of Induction Machine." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606063/index.pdf.

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Focus of this work is closed-loop speed control of an induction machine based on direct field-oriented control (DFOC) algorithm, using estimates of speed and flux observers which utilize only stator current and voltage. Theoretical bases of the algorithms are explained in detail and their performances are investigated with simulations and experiments. Field Orientated Control is based on projections which transform a threephase time and speed dependent system into a two co-ordinate time invariant system. These projections lead to a structure similar to that of a DC machine control. Transformations are done in synchronous frame alligned to d-axis of rotor flux. So rotor flux position must be known accurately to make these transformations. Degined flux observer, in which voltage model is assisted by current model via a closed-loop to compensate voltage model&rsquo
s disadvantages, estimates the position of the rotor flux. Obtaining adequate torque control via FOC, speed loop is closed using conventional PI regulators. Speed feedback is necessary to complete control loop. Model Reference Adaptive System is studied as a speed estimator. Reactive power scheme is applied to MRAS algorithm to estimate rotor speed. In this study, the direct (rotor) flux oriented control system with flux and speed estimators is described and tested in real-time with the starter kit named TMS320F2812 eZdsp DSK and the Embedded Target for the TI C2000 DSP tool of Matlab
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Purcell, Anthony. "New switching techniques for direct torque controlled induction motor drives." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285275.

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Healey, Russell Cameron. "Advanced induction motor models for vector controllers." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337900.

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Kanekal, Ramesh V. "Modeling, simulation and analysis of an indirect vector controlled induction motor drive." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/76443.

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Vector control technique is being widely used in ac motors drives for precise dynamic control of torque, speed and position. The application of vector control scheme to the induction motor drive and the complete modeling, analysis and simulation of the drive system are presented in this thesis. State space models of the motor and the speed controller and the real time models of the inverter switches and the vector controller are integrated to model the drive. Performance differences due to the use of PWM and hysteresis current controllers are examined. Simulation results of the torque and speed drive systems are given. The drive system is linearised around an operating point and the small signal response is evaluated.
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Blasco, Giménez Ramón. "High performance sensorless vector control of induction motor drives." Thesis, University of Nottingham, 1995. http://eprints.nottingham.ac.uk/13038/.

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The aim of this research project was to develop a vector controlled induction motor drive operating without a speed or position sensor but having a dynamic performance comparable to a sensored vector drive. The methodology was to detect the motor speed from the machine rotor slot harmonics using digital signal processing and to use this signal to tune a speed estimator and thus reduce or eliminate the estimator’s sensitivity to parameter variations. Derivation of a speed signal from the rotor slot harmonics using a Discrete Fourier Transform-based algorithm has yielded highly accurate and robust speed signals above machine frequencies of about 2 Hz and independent of machine loads. The detection, which has been carried out using an Intel i860 processor in parallel with the main vector controller, has been found to give predictable and consistent results duing speed transient conditions. The speed signal obtained from the rotor slot harmonics has been used to tune a Model Reference Adaptive speed and flux observer, with the resulting sensorless drive operating to steady state speed accuracies down to 0.02 rpm above 2 Hz (i.e. 60 rpm for the 4 pole machine). A significant aspect of the research has been the mathematical derivation of the speed bandwidth limitations for both sensored and sensorless drives, thus allowing for quantitative comparison of their dynamic performance. It has been found that the speed bandwidth limitation for sensorless drives depends on the accuracy to which the machine parameters are known and that for maximum dynamic performance it is necessary to tune the flux and speed estimator against variations in stator resistance in addition to the tuning mechanism deriving from the DFT speed detector. New dynamic stator resistance tuning algorithms have been implemented. The resulting sensorless drive has been found to have a speed bandwidth equivalent to sensored drives fitted with medium resolution encoders (i.e. about 500 ppr), and a zero speed accuracy of ± 8 rpm under speed control. These specifications are superior to any reported in the research literature.
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Acar, Akin. "Implementation Of A Vector Controlled Induction Motor Drive." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1219286/index.pdf.

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High dynamic performance, which is obtained from dc motors, became achievable from induction motors with the recent advances in power semiconductors, digital signal processors and development in control techniques. By using field oriented control, torque and flux of the induction motors can be controlled independently as in dc motors. The control performance of field oriented induction motor drive greatly depends on the correct stator flux estimation. In this thesis voltage model is used for the flux estimation. Stator winding resistance is used in the voltage model. Also leakage inductance, mutual inductance and referred rotor resistance values are used in vector control calculations. Motor control algorithms use motor models, which depend on motor parameters, so motor parameters should be measured accurately. Induction motor parameters may be measured by conventional no load and locked rotor test. However, an intelligent induction motor drive should be capable of identifying motor parameters itself. In this study parameter estimation algorithms are implemented and motor parameters are calculated. Then these parameters are used and rotor flux oriented vector control is implemented. Test results are presented.
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Karanayil, Baburaj Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Parameter identification for vector contolled induction motor drives using artificial neural networks and fuzzy principles." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2005. http://handle.unsw.edu.au/1959.4/21999.

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This thesis analyses, develops and implements a very fast on-line parameter identification algorithm for both rotor and stator resistances of a rotor flux oriented induction motor drive, with the best possible convergence results using artificial neural networks and fuzzy logic systems. The thesis focuses mainly on identifying the rotor resistance, which is the most critical parameter for RFOC. Limitations of PI and fuzzy logic based estimators were identified. Artificial neural network based estimators were found to track the rotor and stator resistances of the drive accurately and fast. The rotor flux of the induction motor estimated with a classical voltage model was the key input of the rotor resistance estimator. Because, pure digital integrators were unable to play this role, an alternative rotor flux synthesizer using a programmable cascaded filter was developed. This rotor flux synthesizer has been used for all of the resistance estimators. It was found that the error in rotor resistance estimation using an ANN was contributed to by error in the stator resistance (caused by motor heating). Several stator resistance estimators using the stator current measurements were developed. The limitations of a PI and a fuzzy estimator for stator resistance estimation were also established. A new stator resistance identifier using an ANN was found to be much superior to the PI and fuzzy estimators, both in terms of dynamic estimation times and convergence problems. The rotor resistance estimator developed for this thesis used a feedforward neural network and the stator resistance estimator used a recurrent neural network. Both networks exhibited excellent learning capabilities; the stator resistance estimator network was very fast as it had a feedback input. A speed estimator was also developed with the state estimation principles, with the updated motor parameters supplied by the ANN estimators. Analysis for speed sensorless operation has shown that the stator and rotor resistances could be updated on-line.
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Slater, Howard James. "Real time emulation environment for digital control development." Thesis, University of Newcastle Upon Tyne, 1997. http://hdl.handle.net/10443/925.

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Simulation is a powerful tool for developing electric drive systems. Simulations allow the designer to experiment with control algorithms and hardware systems in a safe environment. To this end simulation is becoming increasingly popular. On'-line simulation does have its limitations in that the controller developed during the simulation period has eventually to be transferred to the target processor which will operate in the actual drive system. If, however, a real-time simulation environment could be realised, then the actual controller running in the actual target processor could be included in the simulation. Therefore no translation of code would be required once the controller had been developed and tested within the simulation. This would obviously lead to a reduction in development time and eliminate any possibility of introducing errors due to the translation between the simulated and actual controllers. This thesis describes the development of such a system using a multiple digital signal processing environment. The real-time simulated drive is operated in parallel with an experimental drive to allow a direct comparison between the two. The ability of the multiple processing system to operate in real-time has allowed the whole concept of simulation to be taken a stage further by the development of a real-time power level simulator. This simulator is capable of emulating a machine and load in real-time with real level of voltage and current. It is designed to replace a real machine during the development and testing stages of drive manufacture. This Virtual Machine is a controllable source/sink which is driven by the real-time simulation, and because of this the Virtual Machine takes on the characteristics of any choice of model within the real-time simulation. Moreover, because of its ability to handle bi-directional power flow, the Virtual machine can be programmed to emulate motors or generators. The Virtual Machine also includes the emulation of loads, thus making it extremely flexible and of interest to applications such as machine tools, electric vehicles, and wind generators, to name but a few.
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Books on the topic "Induction Motors - Vector Control"

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Robertson, A. Vector control of induction motors: Sensitivity to parameter variations. Manchester: UMIST, 1994.

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Aounis, Abdulmagid. An investigation into induction motor vector control based on reusable VHDL digital architectures and FPGA rapid prototyping. Leicester: De Montfort University, 2002.

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United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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United States. National Aeronautics and Space Administration., ed. Electro-mechanical actuator: DC resonant link controller. [Washington, D.C.]: National Aeronautics and Space Administration, 1996.

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Control of induction motors. San Diego, Calif: Academic, 2001.

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Robyns, Benoît, Bruno Francois, Philippe Degobert, and Jean Paul Hautier. Vector Control of Induction Machines. London: Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-901-7.

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Hansen, Irving G. Induction motor control. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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Marino, Riccardo. Induction motor control design. London: Springer, 2010.

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S, Zinger Donald, Roth Mary Ellen, and United States. National Aeronautics and Space Administration., eds. Field oriented control of induction motors. [Washington, D.C.]: NASA, 1990.

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Book chapters on the topic "Induction Motors - Vector Control"

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Trzynadlowski, Andrzej M. "Review of Vector Control Systems." In The Field Orientation Principle in Control of Induction Motors, 159–223. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2730-5_6.

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Trzynadlowski, Andrzej M. "Erratum to: Review of Vector Control Systems." In The Field Orientation Principle in Control of Induction Motors, 256. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2730-5_10.

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Ahmad, Mukhtar. "Vector Control of Induction Motor Drives." In High Performance AC Drives, 47–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13150-9_3.

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Wang, Ding. "Hybrid Adaptive Fuzzy Vector Control for Single-Phase Induction Motors." In Lecture Notes in Electrical Engineering, 257–62. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2185-6_32.

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Bohari, Azuwien Aida, Wahyu Mulyo Utomo, Zainal Alam Haron, Nooradzianie Muhd Zin, Sy Yi Sim, and Roslina Mat Ariff. "Vector Control of Induction Motor Using Neural Network." In Lecture Notes in Electrical Engineering, 501–6. Singapore: Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4585-42-2_57.

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Sun, Dandan, and Ding Wang. "Dynamic Flux and Torque Estimation of Single-Phase Induction Motors Based on the Vector Control Theory of Motors." In Lecture Notes in Electrical Engineering, 601–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48768-6_68.

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Kim, Yong-Choon, Ho-Bin Song, Moon-Taek Cho, and Suk-Hwan Moon. "A Study on Direct Vector Control System for Induction Motor Speed Control." In Lecture Notes in Electrical Engineering, 599–612. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5076-0_73.

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Yuhua, Wang, and Miao Jianlin. "Based on Fuzzy PID Control of AC Induction Motor Vector Control System." In Advances in Intelligent and Soft Computing, 227–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28658-2_35.

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Joshi, Girisha, and Pinto Pius A J. "Fuzzy Logic Controller for Indirect Vector Control of Induction Motor." In Lecture Notes in Electrical Engineering, 519–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0626-0_40.

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Diab, Ahmed A. Zaki, Abo-Hashima M. Al-Sayed, Hossam Hefnawy Abbas Mohammed, and Yehia Sayed Mohammed. "Sensorless Vector Control for Photovoltaic Array Fed Induction Motor Driving Pumping System." In SpringerBriefs in Electrical and Computer Engineering, 33–48. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2298-7_4.

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Conference papers on the topic "Induction Motors - Vector Control"

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

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

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Ludtke, I. "Direct torque control of induction motors." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951113.

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Wall, S. "Vector control: a practical approach to electric vehicles." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951112.

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Schofield, J. R. G. "Direct torque control - DTC." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951108.

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Wade, S. "Comparison of stochastic and deterministic parameter identification algorithms for indirect vector control." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951109.

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Tez, E. S. "A simple understanding of field-orientation for AC motor control." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951110.

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Sokola, M. "Detuned operation of rotor flux oriented induction machines in the field-weakening region due to iron loss." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951111.

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Vas, P. "DSP-controlled intelligent high-performance AC drives: present and future." In IEE Colloquium on Vector Control and Direct Torque Control of Induction Motors. IEE, 1995. http://dx.doi.org/10.1049/ic:19951114.

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Schofield, J. R. G. "Variable speed drives using induction motors and direct torque control." In IEE Colloquium on Vector Control Revisited. IEE, 1998. http://dx.doi.org/10.1049/ic:19980060.

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