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Relevant bibliographies by topics / Induction motor; Vector control

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Academic literature on the topic 'Induction motor; Vector control'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Induction motor; Vector control"

1

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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2

Azcue Puma, José Luis, Alfeu Joãozinho Sguarezi Filho, and Ernesto Ruppert Filho. "Direct vector control with fuzzy current controller for three-phase induction motor." Eletrônica de Potência 18, no. 2 (May 1, 2013): 917–25. http://dx.doi.org/10.18618/rep.2013.2.917925.

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3

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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4

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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Wang, Hong Yu, Wen Long Cai, and Cheng Wei Hou. "Speed Sensorless Vector Control System of Induction Motor." Advanced Materials Research 516-517 (May 2012): 1664–67. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1664.

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This paper introduces a vector control system for speed sensorless induction motor drive, which we have recently developed. In the introduce vector control system, one induction motor’s rotor speed estimation method based on model reference adaptive identification theory is proposed. The induction motor speed identification system based on the proposed method can estimate the rotor speed of the induction motor. The speed sensorless vector control system based on proposed method in this paper was built with Simulink blocks in Matlab platform. The simulation results indicate that the proposed method could operate stably in whole range of speed with preferable identification precision of rotor speed.

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6

Dai, Hui Liang, Jia Ling Song, and Shi Hao Wu. "The Vector Control System of Induction Motor Based on Fuzzy Control." Applied Mechanics and Materials 631-632 (September 2014): 702–9. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.702.

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Classical control theory method often cannot obtain good static and dynamic performance in speed control system of asynchronous motor that is multivariable, nonlinear and strong coupling. However, with the application of modern control theory, it can effectively improve the operating performance of system in a complicated environment. This paper introduces the basic principle of vector control system and establishes the simulation model of vector control system of asynchronous motor. Meanwhile, according to fuzzy control theory, this paper shows a design of fuzzy controller and it is applied to the vector control system of speed adjusting module. Finally, it uses Matlab/Simulink to simulate and it verifies that Fuzzy vector control system response faster has better stability and stronger robust performance compared to the traditional vector control. Key words: induction motor; vector control; fuzzy control

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Gao, Jun Li, Shi Jun Chen, and Guo Cai Li. "Design of Sensorless Vector Control System for Induction Motors." Applied Mechanics and Materials 58-60 (June 2011): 2046–50. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2046.

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Online identification of motor rotor speed by using modified rotor flux orientation angle estimator and model reference adaptive system achieves sensorless vector control of induction motor. The principle verification conducted on self-developed sensorless vector control of induction motor shows that the system has good dynamic & static performance and induction motor achieves significant improvement in speed regulation in the premise of not adding cost of general inverters.

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8

Madark, Mhamed, Abdellfattah Ba-razzouk, Elhassane Abdelmounim, and Mohammed El Malah. "Adaptive Vector Control of Induction Motor Using CTMVC." International Review on Modelling and Simulations (IREMOS) 10, no. 4 (August 31, 2017): 303. http://dx.doi.org/10.15866/iremos.v10i4.12030.

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9

Guru, Neelakantha, Santosh Kumar Mishra, and B. Nayak. "Indirect Vector Control of Multi Cage Induction Motor." International Journal of Computer Applications 68, no. 2 (April 18, 2013): 25–32. http://dx.doi.org/10.5120/11552-6829.

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Odnokopylov, G., and A. Bragin. "Fault tolerant vector control of induction motor drive." IOP Conference Series: Materials Science and Engineering 66 (October 7, 2014): 012015. http://dx.doi.org/10.1088/1757-899x/66/1/012015.

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Dissertations / Theses on the topic "Induction motor; Vector control"

1

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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2

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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3

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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5

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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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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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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8

Pye, Gregory. "Precision position control of a three-phase squirrel-cage induction motor using vector control." Thesis, University of Reading, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.357862.

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9

Ertugrul, Baris Tugrul. "Sensorless Vector Control Of Induction Motor Based On Flux And Speed Estimation." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610297/index.pdf.

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The main focus of the study is the implementation of techniques regarding flux estimation and rotor speed estimation by the use of sensorless closed-loop observers. Within this framework, the information about the mathematical representation of the induction motor, pulse width modulation technique and flux oriented vector control techniques together with speed adaptive flux estimation &ndash
a kind of sensorless closed loop estimation technique- and Kalman filters is given. With the comparison of sensorless closed-loop speed estimation techniques, it has been attempted to identify their superiority and inferiority to each other by the use of simulation models and real-time experiments. In the experiments, the performance of the techniques developed and used in the thesis has been examined under extensively changing speed and load conditions. The real-time experiments have been carried out by the use of TI TMS320F2812 digital signal processor, XILINX XCS2S150E Field Programmable Gate Array (FPGA), control card and the motor drive card Furthermore, Matlab &ldquo
Embedded Target for the TI C2000 DSP&rdquo
and &ldquo
Code Composer Studio&rdquo
software tools have been used. The simulations and experiments conducted in the study have illustrated that it is possible to increase the performance at low speeds at the expense of increased computational burden on the processor. However, in order to control the motor at zero speed, high frequency signal implementation should be used as well as a different electronic hardware.

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10

Novinschi, Anca. "Simulation and implementation of rotor flux control for an induction motor." Thesis, De Montfort University, 1998. http://hdl.handle.net/2086/5208.

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Books on the topic "Induction motor; Vector control"

1

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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3

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

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4

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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5

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

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6

Marino, Riccardo, Patrizio Tomei, and Cristiano M. Verrelli. Induction Motor Control Design. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-284-1.

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7

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

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8

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

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9

Chan, Tze-Fun, and Keli Shi. Applied Intelligent Control of Induction Motor Drives. Singapore: John Wiley & Sons (Asia) Pte Ltd, 2011. http://dx.doi.org/10.1002/9780470825587.

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Robyns, Benoit. Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic. London: Springer London, 2012.

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Book chapters on the topic "Induction motor; Vector control"

1

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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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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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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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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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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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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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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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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Wolkiewicz, Marcin, Grzegorz Tarchała, Czesław T. Kowalski, and Teresa Orłowska-Kowalska. "Stator Faults Monitoring and Detection in Vector Controlled Induction Motor Drives—Comparative Study." In Advanced Control of Electrical Drives and Power Electronic Converters, 169–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45735-2_8.

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Tripura, P., and Y. Srinivasa Kishore Babu. "Performance Improvement in Vector Control of Induction Motor Drive Using Fuzzy Logic Controller." In Advances in Intelligent and Soft Computing, 87–97. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0487-9_9.

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Conference papers on the topic "Induction motor; Vector control"

1

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

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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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Asher, G. M. "Sensorless estimation for vector controlled induction motor drives." In IEE Colloquium on Vector Control Revisited. IEE, 1998. http://dx.doi.org/10.1049/ic:19980061.

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Rafa, S., A. Larabi, L. Barazane, M. Manceur, N. Essounbouli, and A. Hamzaoui. "Fuzzy vector control of induction motor." In 2013 IEEE 10th International Conference on Networking, Sensing and Control (ICNSC 2013). IEEE, 2013. http://dx.doi.org/10.1109/icnsc.2013.6548843.

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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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Finch, J. W. "Scalar and vector: a simplified treatment of induction motor control performance." In IEE Colloquium on Vector Control Revisited. IEE, 1998. http://dx.doi.org/10.1049/ic:19980057.

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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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Reports on the topic "Induction motor; Vector control"

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Drive modelling and performance estimation of IPM motor using SVPWM and Six-step Control Strategy. SAE International, April 2021. http://dx.doi.org/10.4271/2021-01-0775.

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This paper presents a comprehensive evaluation of the performance of an interior permanent magnet (IPM) traction motor drive, and analyses the impact of different modulation techniques. The most widely used modulation methods in traction motor drives are Space vector modulation (SVPWM), over-modulation, and six-step modulation have been implemented. A two-dimensional electromagnetic finite element model of the motor is co-simulated with a dynamic model of a field-oriented control (FOC) circuit. For accurate tuning of the current controllers, extended complex vector synchronous frame current regulators are employed. The DC-link voltage utilization, harmonics in the output waveforms, torque ripple, iron losses, and AC copper losses are calculated and compared with sinusoidal excitation. Overall, it is concluded that the selection of modulation technique is related to the operating condition and motor speed, and a smooth transition between different modulation techniques is essential to achieve a better performance.

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