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

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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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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5

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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7

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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10

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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11

Cerruto, E., A. Consoli, A. Raciti, and A. Testa. "Fuzzy adaptive vector control of induction motor drives." IEEE Transactions on Power Electronics 12, no. 6 (November 1997): 1028–40. http://dx.doi.org/10.1109/63.641501.

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12

Ohtani, T., N. Takada, and K. Tanaka. "Vector control of induction motor without shaft encoder." IEEE Transactions on Industry Applications 28, no. 1 (1992): 157–64. http://dx.doi.org/10.1109/28.120225.

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13

Ozer, A. Bedri, and Erhan Akin. "Chaos Control in Vector-controlled Induction Motor Drive." Electric Power Components and Systems 36, no. 7 (June 17, 2008): 733–40. http://dx.doi.org/10.1080/15325000701881977.

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14

Menaa, M., O. Touhami, R. Ibtiouen, and M. Fadel. "Sensorless direct vector control of an induction motor." Control Engineering Practice 16, no. 1 (January 2008): 67–77. http://dx.doi.org/10.1016/j.conengprac.2007.04.002.

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15

DIÓGENES BANDEIRA DE MELO, MAXWELL, IVAN NEY ALVIZURI ROMANI, and SÉRGIO MANUEL RIVERA SANHUEZA. "DINÂMICA E CONTROLE VETORIAL DE UM MOTOR DE INDUÇÃO TRIFÁSICO." Revista SODEBRAS 14, no. 166 (October 2019): 24–29. http://dx.doi.org/10.29367/issn.1809-3957.14.2019.166.24.

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16

Rouabah, Z., B. Abdelhadi, F. Anayi, and F. Zidani. "On-line losses minimization of induction motor vector control." Archives of Electrical Engineering 60, no. 3 (September 1, 2011): 257–68. http://dx.doi.org/10.2478/v10171-011-0024-5.

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On-line losses minimization of induction motor vector controlConventional field-orientated Induction motor drives operate at rated flux even at low load. To improve the efficiency of the existing motor it is important to regulate the flux of the motor in the desired operating range. In this paper a loss model controller (LMC) based on the real coded genetic algorithm is proposed, it has the straightforward goal of maximizing the efficiency for each given load torque. In order to give more accuracy to the motor model and the LMC a series model of the motor which consider the iron losses as a resistance connected in series with the mutual inductance is considered. Digital computer simulation demonstrates the effectiveness of the proposed algorithm and also simulation results have confirmed that this algorithm yields the optimal efficiency.

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17

Bouscayrol, Alain, Maria Pietrzak-David, and Bernard de Fornel. "Comparison of cartesian vector control and polar vector control for induction motor drives." Mathematics and Computers in Simulation 46, no. 3-4 (May 1998): 325–37. http://dx.doi.org/10.1016/s0378-4754(97)00145-6.

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18

Nash, J. N. "Direct torque control, induction motor vector control without an encoder." IEEE Transactions on Industry Applications 33, no. 2 (1997): 333–41. http://dx.doi.org/10.1109/28.567792.

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19

Le, Phuong Minh, Dung Duc Le, Thuyen Viet Nguyen, and Phong Hoai Nguyen. "Real-time loss minimization control in induction machines based on DSP TMS320LF2812." Science and Technology Development Journal 16, no. 4 (December 31, 2013): 5–18. http://dx.doi.org/10.32508/stdj.v16i4.1580.

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This paper presents a DSP based implementation of simple and very useful control algorithm for the real-time efficiency optimization of the indirect vectorcontrolled induction motor drives. Conventional field-oriented induction motor drives operate at rated flux even at low load. To improve the efficiency of the existing induction motors, it is important to regulate the magnetization flux of the motor in the desired operating range. This paper presents techniques for minimizing power loss (the copper and core losses) of induction motor based on determination of an optimum flux level for the efficiency optimization of the vector-controlled induction motor drive. An induction motor (IM) model in d-q coordinates is referenced to the rotor magnetizing current. Thus the decomposition into d-q components in the steady-state motor model can be utilized in deriving the motor loss model. The algorithm offers a fast convergence. The complete closed loop vector control of the proposed LMC-based IM drive is successfully implemented in real-time using digital signal processor DSP TMS320LF2812 for 1HP motor induction motor. The close agreement between the simulation by Matlab/Simulink and the experimental results confirms the validity and usefulness of the proposed techniques. The proposed LMC in a comparison with conventional FOC can reduce total losses from 5% to 67.2% for all load ranges.

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20

Cao, Miao, and Peng Yin. "Modeling and Simulation of Vector Slip Frequency Control System of Induction Motor." Advanced Materials Research 951 (May 2014): 76–79. http://dx.doi.org/10.4028/www.scientific.net/amr.951.76.

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This paper is based on MATLAB / SIMULINK software for induction motor slip frequency vector control system. Modeling and simulation results show that to get the motor torque ripple is small with this method, and the system meets the general electrical apparatus speed performance required by smooth speed. Effective control of induction motors can be achieved. With the simulation results, it can guide system debugging and installation and having a good application value.

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21

Wang, Tao, Jikun Li, Yuwen Liu, and Xuehai Wang. "The weighted synergetic speed control for single inverter, parallel-connected induction motor drive." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 2 (May 23, 2019): 257–71. http://dx.doi.org/10.1177/0959651819850448.

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In the case of unbalanced load performance, the key issue in speed control of a single inverter-powered parallel motor coupling system is how to overcome the difference in motor parameters and the effect of slip between the induction motors to maintain the same speed. Based on the synergetic control theory and synergy manifold design techniques, the model which is field-oriented vector control with reduced order induction is proposed, as well as a synergetic control strategy. Moreover, the accuracy of the rotor flux observation is one of the most important steps in the motor control. In order to improve the convergence speed of rotor flux error, a new flux observer based on the sliding mode theory is proposed. Introducing the Sig function instead of the symbol function, the sliding mode control technology is improved to observe rotor to eliminate the control chattering. Then, two motor speed coupling weighted synergetic control models are given by using the new weight vector of the parallel induction motor. These models can directly obtain the stator excitation current and torque current of the two motors. The simulation and experimental results show that the newly proposed motor synergetic control method has better steady operation performance, overcomes the shortcomings of the existing average vector control method in load imbalance and motor parameter difference and proves the validity and advancement of the design strategy.

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22

Rinkeviciene, Roma, and Andrius Petrovas. "Model of Vector Controlled Induction Drive." Solid State Phenomena 147-149 (January 2009): 149–54. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.149.

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The paper presents the model of vector controlled induction motor. Induction motor model is carried out in reference frame, fixed on stator. Elaborated model of the drive is suitable for investigation dynamics because output signals appear as real currents, flux linkages and other variables. Vector control law model is implemented for variables in synchronous reference frame; therefore controller operates with transformed variables. Structure of designed model reflects the real variable speed drive. Model of vector controlled induction drive comprise model of induction motor, feedback signals and blocks as well as speed and flux reference blocks and controllers for producing motor supply signals. Feedback blocks are used for calculation stator current vector in the rotor flux linkage reference frame. For flux and speed control are designed lag controllers. Between advantages of that model is additional simulation of current channel law.

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23

Glowacz, Adam, Witold Glowacz, Jarosław Kozik, Krzysztof Piech, Miroslav Gutten, Wahyu Caesarendra, Hui Liu, Frantisek Brumercik, Muhammad Irfan, and Z. Faizal Khan. "Detection of Deterioration of Three-phase Induction Motor using Vibration Signals." Measurement Science Review 19, no. 6 (December 1, 2019): 241–49. http://dx.doi.org/10.2478/msr-2019-0031.

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Abstract Nowadays detection of deterioration of electrical motors is an important topic of research. Vibration signals often carry diagnostic information of a motor. The authors proposed a setup for the analysis of vibration signals of three-phase induction motors. In this paper rotor fault diagnostic techniques of a three-phase induction motor (TPIM) were presented. The presented techniques used vibration signals and signal processing methods. The authors analyzed the recognition rate of vibration signal readings for 3 states of the TPIM: healthy TPIM, TPIM with 1 broken bar, and TPIM with 2 broken bars. In this paper the authors described a method of the feature extraction of vibration signals Method of Selection of Amplitudes of Frequencies – MSAF-12. Feature vectors were obtained using FFT, MSAF-12, and mean of vector sum. Three methods of classification were used: Nearest Neighbor (NN), Linear Discriminant Analysis (LDA), and Linear Support Vector Machine (LSVM). The obtained results of analyzed classifiers were in the range of 97.61 % – 100 %.

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24

Zheng, You Gen, and Jian Chen. "Design of Induction Motor Direct Torque Control System." Applied Mechanics and Materials 127 (October 2011): 134–38. http://dx.doi.org/10.4028/www.scientific.net/amm.127.134.

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According to the principle of the asynchronous motor direct torque control, based on the concept of space voltage vector, the paper correctly choices space vector, achieves a direct torque control algorithm. TMS320LF2407A chip as the core, conducted the system hardware design, software design, and conducted the actual commissioning of the system, obtained valuable results. In the system design and commissioning, at the same time the system simulation is carried out .The simulation promotes system design, in the actual commissioning, the simulation has played a guiding role.

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25

Emil Hasan, Amilia, Haryani Hassan, and Ismadi Bugis. "Variable Speed Vector Control for Induction Motor of Electric Vehicle." Applied Mechanics and Materials 699 (November 2014): 759–64. http://dx.doi.org/10.4028/www.scientific.net/amm.699.759.

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This paper presents the speed performance of an induction motor by using a vector control. The control scheme used is an indirect vector control for define speed command. The main focus of this research is to observe on the dynamic speed performance of the induction motor when the command speed is given to the motor. In this study, the system of indirect vector control will be built by using Matlab Simulink. In fact, the expression of exciting flux linkage and electromagnetic torque are used to create a simple embedded system which to find out the effects of flux weakening in motor while, the gain of the speed controller is 100. The result shows that the vector control method will cause immediate the motor speed response with a small electromagnetic torque ripple. Furthermore, the output mechanical torque starts to decrease when the motor speed above the base speed to maintain a constant output power operation. This paper contributes a new algorithm to analysis the system when the speed motor is higher than a base speed.

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26

Gangishetti, Srinivas, and Tarakalyani Sandipamu. "Different Control Schemes for Sensor Less Vector Control of Induction Motor." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 2 (June 1, 2017): 712. http://dx.doi.org/10.11591/ijpeds.v8.i2.pp712-721.

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This paper deals with the design of different control schemes for sensorless vector control of induction motor.Induction motor is most widely used A.C. Motor but the major draw back is flux and torque cannot be controlled individually.This can be obtained by implementing sensorless vector control methods.The control strategy of induction motor is by different controllers like conventional control methods and artificial intelligence control methods.The conventional control methods are sensitive to parameter changes and will not be accurate. This paper proposes to design a controller to over come the above draw backs by using intelligent control techniques like fuzzy logic, artificial neutral networks (ANN) and genetic algorithm (GA).The above conventional control methods are compared with intelligent control techniques. The simulation studies are carried out using Matlab/Simulink and the wave forms for speed, torque and voltage components for various controlles are plotted. Numerical analysis for speed and torque components considering parameters like peakover shoot and peak time are presented.

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27

., Loganayaki N. "IGBT BASED ON VECTOR CONTROL OF INDUCTION MOTOR DRIVE." International Journal of Research in Engineering and Technology 03, no. 02 (February 25, 2014): 20–27. http://dx.doi.org/10.15623/ijret.2014.0302005.

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28

Xu, Ao Ran, Liu Zhang, Yang Gao, Cai Lian Gu, and Chui Yi Meng. "Research on Speed Sensorless Vector Control of Induction Motor." Applied Mechanics and Materials 672-674 (October 2014): 1253–56. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1253.

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With the 2407 and VC33 double DSP system as the foundation of hardware, the basic idea is using a modified voltage model, implementation, and equivalent amplitude and phase characteristic of integral operation. Motor steady-state operation, the rotor counter electromotive force signal is a sine wave. And an ideal sinusoidal signal frequency for omega after integral link operation, output phase lag, amplitude to times. Observations can be found from the experiment of flux linkage and rotor counter electromotive force signal on the output phase and phase is obtained by pure integral part still have a little deviation, it will need a further study on the compensation link, how to make the compensation phase completely equivalent to the integral effect. From the point of the results of the experiment of 5 Hz low speed estimation error, verify the theory in this paper. One step closer to the test is more slow speed estimation.

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29

Kinpara, Yoshihiko, Shinji Doki, and Shigeru Okuma. "Vector Control of Induction Motor Using Robust Optimal Observer." IEEJ Transactions on Industry Applications 121, no. 8 (2001): 902–7. http://dx.doi.org/10.1541/ieejias.121.902.

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30

., Arjun G. T. "VECTOR CONTROL OF INDUCTION MOTOR USING XILINX SYSTEM GENERATOR." International Journal of Research in Engineering and Technology 07, no. 07 (July 25, 2018): 141–49. http://dx.doi.org/10.15623/ijret.2018.0707018.

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31

Allihalli, Hasan, and Mehmet İlyas Bayindir. "Time‐energy optimal control of vector controlled induction motor." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 21, no. 2 (June 2002): 235–51. http://dx.doi.org/10.1108/03321640210416331.

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32

Nikolic, Aleksandar B., and Borislav I. Jeftenic. "Precise vector control of CSI fed induction motor drive." European Transactions on Electrical Power 16, no. 2 (2006): 175–88. http://dx.doi.org/10.1002/etep.74.

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33

Yang, Sheng‐Ming, and Feng‐Chieh Lin. "Loss‐minimization control of vector‐controlled induction motor drives." Journal of the Chinese Institute of Engineers 26, no. 1 (January 2003): 37–45. http://dx.doi.org/10.1080/02533839.2003.9670752.

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34

Kumar, Rajesh, R. A. Gupta, and S. V. Bhangale. "Vector control techniques for induction motor drive: a review." International Journal of Automation and Control 3, no. 4 (2009): 284. http://dx.doi.org/10.1504/ijaac.2009.026778.

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35

Vasu. R, Ramana, George Fernandez S., and Vijayakumar K. "Enhanced space vector modulated scalar control of induction motor." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (February 1, 2021): 707. http://dx.doi.org/10.11591/ijeecs.v21.i2.pp707-713.

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<p>A conventional vector control of the asynchronous machine makes an analogy of an equivalent separately excited DC machine. It offers a decoupled control of torque and flux which is perpendicular to each other hence one vector is not interfered by other parameters. So, torque and speed control is achieved in an isolated manner even though they are closely interlinked. This is implemented by aligning the rotor flux with the direct axis of the synchronously rotating reference frame. PI controllers play a key role to achieve the desired topology of the VFD. Three controllers are used in the system, flux, speed and torque controller. Tuning of flux controller is quite simple, but in case of speed and torque, it became quite tricky because the output of the speed controller is the reference signal of torque controller. Moreover, there is no distinct method to tune the controllers in the vector control system. Still, the entire high-performance dynamic response of the machine depends on the perfect tuning of those controllers. From the above analysis, it is understood that system identification is essential to tune the PI controllers. But being an asynchronous machine, to obtain system transfer function in a decoupled manner is very difficult. To overcome this problem, the proposed model will be Conventional sine PWM modulated switching pulses are used to implement variable frequency drives for induction motor. Space vector modulated PWM switching pulse is used to fire IGBT. In the case of sine, PWM modulated switching; DC bus voltage utilization is 50% whereas in space vector modulated inverter 57.73% DC Bus voltage utilization can be achieved. <strong></strong></p>

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36

Srinivas, K. "Speed Control of Induction Motor using Space Vector Modulation." International Journal of Electrical and Electronics Engineering 3, no. 12 (December 25, 2016): 51–56. http://dx.doi.org/10.14445/23488379/ijeee-v3i12p109.

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37

Kortas, Imen, Anis Sakly, and Mohamed Faouzi Mimouni. "Optimal vector control to a double-star induction motor." Energy 131 (July 2017): 279–88. http://dx.doi.org/10.1016/j.energy.2017.03.058.

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38

Park, Chul-Woo, and Woo-Hyen Kwon. "Time-delay compensation for induction motor vector control system." Electric Power Systems Research 68, no. 3 (March 2004): 238–47. http://dx.doi.org/10.1016/j.epsr.2003.06.004.

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39

Gopakumar, K., V. T. Ranganathan, and S. R. Bhat. "Vector Control of Induction Motor with Split Phase Windings." EPE Journal 7, no. 1-2 (August 1997): 61–66. http://dx.doi.org/10.1080/09398368.1997.11463409.

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40

Qi, Xin, Chang Song Wang, and Xiang Hua Ma. "Sensorless Vector Control of Induction Motor Based on Machine Model." Advanced Materials Research 572 (October 2012): 371–75. http://dx.doi.org/10.4028/www.scientific.net/amr.572.371.

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Spatial orientation and magnitude of the rotor flux is essential for vector control of induction motor. Traditionally, current model serves for rotor flux estimation and rotor must be measured by speed sensor. Due to advantages of low cost and high reliability, control the induction motor without sensor draws great attention of scholars around the world. Closed-loop observers or open-loop estimators are used for such purpose. In this paper a new method of sensorless vector control of induction motor is proposed and simulation is implemented to verify the scheme.

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41

Zahraoui, Yassine, Mohamed Akherraz, Chaymae Fahassa, and Sara Elbadaoui. "Induction motor harmonic reduction using space vector modulation algorithm." Bulletin of Electrical Engineering and Informatics 9, no. 2 (April 1, 2020): 452–65. http://dx.doi.org/10.11591/eei.v9i2.1682.

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The vector control was proposed as an alternative to the scalar control for AC machines control. Vector control provide high operation performance in steady state and transient operation. However, the variable switching frequency of vector control causes high flux and torque ripples which lead to an acoustical noise and degrade the performance of the control scheme. The insertion of the space vector modulation was a very useful solution to reduce the high ripples level inspite of its complexity. Numerical simulation results obtained in MATLAB/Simulink show the good dynamic performance of the proposed vector control technique and the effectiveness of the proposed sensorless strategy in the presence of the sudden load torque basing on the integral backstepping approach capabilities on instant perturbation rejection.

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42

Hongli, Jing. "Research on the Intelligent Control Applied in Induction Motor Vector Control." Journal of Computational and Theoretical Nanoscience 13, no. 3 (March 1, 2016): 2102–13. http://dx.doi.org/10.1166/jctn.2016.5163.

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43

Han, Sang-Soo. "Motor Parameter Measurement for High Performance Vector Control of an induction Motor." Journal of the Institute of Electronics and Information Engineers 52, no. 8 (August 25, 2015): 126–31. http://dx.doi.org/10.5573/ieie.2015.52.8.126.

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44

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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45

Wadee, Khoury, Nasser Aram, and Tamás Szemes Péter. "Three phase induction motor modelling and control using vector control in LabVIEW." MATEC Web of Conferences 184 (2018): 02019. http://dx.doi.org/10.1051/matecconf/201818402019.

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In this paper, a speed control system for a three-phase induction motor was modelled and designed within LabVIEW software environment. After structuring the dynamical model of the motor, a current controller was developed to stabilize the system and avoid a wind-up situation. Then, a speed controller was designed, using PID and Field Weakening techniques, to generate the reference current values. The field-weakening algorithm is used to achieve stability at speeds that are higher than the nominal one. An estimator is used to calculate the flux angle and the electro-mechanical speed of the motor. As a result, the system achieved the desired speed with good transient and steady state responses. In addition, the system proved to be robust when the torque load is applied in all cases.

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Pieńkowski, Krzysztof. "Analysis and control of dual stator winding induction motor." Archives of Electrical Engineering 61, no. 3 (September 1, 2012): 421–38. http://dx.doi.org/10.2478/v10171-012-0033-z.

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Analysis and control of dual stator winding induction motor The paper presents the mathematical models of dual stator squirrel-cage induction motor, formulated in phase coordinate system and in general transformed space vector form. The two types of models of dual stator induction motor are considered. The control systems of field-oriented control (IFOC and DFOC) and direct torque control (DTC) of the dual stator induction motor have been described and discussed.

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Drozdowski, Piotr. "Speed Control of Multiphase Cage Induction Motors Incorporating Supply Sequence." Archives of Electrical Engineering 63, no. 4 (December 11, 2014): 511–34. http://dx.doi.org/10.2478/aee-2014-0036.

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Abstract The subject of this paper is the control possibility of the multiphase cage induction motors having number of phases greater than 3. These motors have additional properties for speed control that distinguish them from the standard 3 phase motors: operation at various sequences of supplying voltages due to the inverter control and possible operation with few open-circuited phases. For each supply sequence different no load speeds at the same frequency can be obtained. This feature extends the motor application for miscellaneous drive demands including vector or scalar control. This depends mainly on the type of the stator winding for a given number of phases, since the principle of motor operation is based on co-operation of higher harmonics of magnetic field. Examples of operation are presented for a 9-phase motor, though general approach has been discussed. This motor was fed by a voltage source inverter at field oriented control with forced currents. The mathematical model of the motor was reduced to the form incorporating all most important physical features and appropriate for the control law formulation. The operation was illustrated for various supply sequences for “healthy” motor and for the motor operating at one phase broken. The obtained results have shown that parasitic influence of harmonic fields interaction has negligible influence on motor operation with respect to the useful coupling for properly designed stator winding.

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Xu, Qi Wei, and Jia Ning Xu. "Induction Motor Vector Control Based on Adaptive Identification of Rotor Parameters." Applied Mechanics and Materials 494-495 (February 2014): 1517–23. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1517.

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The paper analyzed the influence of rotor parameters changing for the induction motor vector control, and an adaptive identification method for rotor parameters was proposed. Based on Lyapunov stabilization theory, design method of adaptive identification discipline was expatiated. The model of rotor parameters adaptive identification under induction motor vector control was completed using Matlab/Simulink. The simulation results demonstrate the feasibility of the proposed method, and it can be taken as the theory and practice reference for improve the orientation bias for vector control system.

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Joshi, Girisha, and Pinto Pius A J. "ANFIS controller for vector control of three phase induction motor." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 3 (September 1, 2020): 1177. http://dx.doi.org/10.11591/ijeecs.v19.i3.pp1177-1185.

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For variable speed drive applications such as electric vehicles, 3 phase induction motor is used and is controlled by fuzzy logic controllers. For the steady functioning of the vehicle drive, it is essential to generate required torque and speed during starting, coasting, free running, braking and reverse operating regions. The drive performance under these transient conditions are studied and presented. In the present paper, vector control technique is implemented using three fuzzy logic controllers. Separate Fuzzy logic controllers are used to control the direct axis current, quadrature axis current and speed of the motor. In this paper performance of the indirect vector controller containing artificial neural network based fuzzy logic (ANFIS) based control system is studied and compared with regular fuzzy logic system, which is developed without using artificial neural network. Data required to model the artificial neural network based fuzzy inference system is obtained from the PI controlled induction motor system. Results obtained in MATLAB-SIMULINK simulation shows that the ANFIS controller is superior compared to controller which is implemented only using fuzzy logic, under all dynamic conditions.

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Listwan, Jacek. "DIRECT TORQUE CONTROL OF MULTI-PHASE INDUCTION MOTOR WITH FUZZY LOGIC SPEED CONTROLLER." Informatics Control Measurement in Economy and Environment Protection 7, no. 4 (December 21, 2017): 38–43. http://dx.doi.org/10.5604/01.3001.0010.7256.

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The paper presents the Direct Torque Control with Space Vector Modulation (DTC-SVM) of seven-phase induction motor with Fuzzy Logic Speed Controller. The mathematical model of the seven-phase squirrel-cage induction motor and chosen methods of Space Vector Modulation have been presented. Simulation studies of the DTC-SVM with Fuzzy Logic speed controller have been carried out and the results of simulation studies have been presented and discussed. The author original contribution includes analysis and studies of considered control method of seven-phase induction motor.

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