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

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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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

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

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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12

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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13

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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14

Suemitsu, Haruo, Takami Matsuo, Wataru Matsuzaki, and Kazushi Nakano. "ROBUST ADAPTIVE CONTROL OF INDUCTION MOTORS WITH SPIRAL VECTOR." IFAC Proceedings Volumes 35, no. 1 (2002): 67–72. http://dx.doi.org/10.3182/20020721-6-es-1901.00997.

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15

Harnefors, L., M. Jansson, R. Ottersten, and K. Pietilainen. "Unified sensorless vector control of synchronous and induction motors." IEEE Transactions on Industrial Electronics 50, no. 1 (February 2003): 153–60. http://dx.doi.org/10.1109/tie.2002.807653.

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16

Hughes, A., J. Čorda, and D. A. Andrade. "Vector control of cage induction motors: a physical insight." IEE Proceedings - Electric Power Applications 143, no. 1 (1996): 59. http://dx.doi.org/10.1049/ip-epa:19960203.

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17

Jadot, F., F. Malrait, J. Moreno-Valenzuela, and R. Sepulchre. "Adaptive Regulation of Vector-Controlled Induction Motors." IEEE Transactions on Control Systems Technology 17, no. 3 (May 2009): 646–57. http://dx.doi.org/10.1109/tcst.2008.2003434.

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18

Nakamura, Naoto, and Shinji Shinnaka. "Low-Sensitivity Slip-Frequency Vector Control Method for Robust Vector Control of Induction Motors." IEEJ Transactions on Industry Applications 140, no. 3 (March 1, 2020): 211–19. http://dx.doi.org/10.1541/ieejias.140.211.

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19

Tuo, Chao Yong. "Studies on Implementations and Designs of DSP in the Six-Phase Induction Motor Vector Control System." Advanced Materials Research 268-270 (July 2011): 1681–86. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1681.

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Compared with traditional three-phase motors, six-phase induction motors due to their high reliabilities and low DC side voltages can achieve high power drives using devices with lower voltage level. In this paper, it analyzes the research status of six-phase induction motors, introduces the winding structures of six-phase induction motors, and finally designs the vector control system for six-phase induction motors taking the Digital Signal Processor (DSP) as the core. It introduces DSP circuit implementations, emphasizes to describe software structures of the control system, and proposes a detailed software flow chart.

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20

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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21

Ahmed, Aamir, Martino Ajangnay, Shamboul Mohamed, and Matthew Dunnigan. "Speed Control of Induction Motor Using New Sliding Mode Control Technique." Iraqi Journal for Electrical and Electronic Engineering 6, no. 2 (December 1, 2010): 111–15. http://dx.doi.org/10.37917/ijeee.6.2.5.

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Induction Motors have been used as the workhorse in the industry for a long time due to its easy build, high robustness, and generally satisfactory efficiency. However, they are significantly more difficult to control than DC motors. One of the problems which might cause unsuccessful attempts for designing a proper controller would be the time varying nature of parameters and variables which might be changed while working with the motion systems. One of the best suggested solutions to solve this problem would be the use of Sliding Mode Control (SMC). This paper presents the design of a new controller for a vector control induction motor drive that employs an outer loop speed controller using SMC. Several tests were performed to evaluate the performance of the new controller method, and two other sliding mode controller techniques. From the comparative simulation results, one can conclude that the new controller law provides high performance dynamic characteristics and is robust with regard to plant parameter variations.

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22

Mehbodniya, Abolfazl, Parmod Kumar, Xie Changqing, Julian L. Webber, Udit Mamodiya, Awal Halifa, and Chennupalli Srinivasulu. "Hybrid Optimization Approach for Energy Control in Electric Vehicle Controller for Regulation of Three-Phase Induction Motors." Mathematical Problems in Engineering 2022 (February 23, 2022): 1–13. http://dx.doi.org/10.1155/2022/6096983.

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Three-phase induction motors are becoming increasingly popular for electric cars and industrial uses because of their improved efficiency and simplicity of production, among other things. Many enterprises and industries use induction motors in several rotating applications. However, it is a difficult talent to master when it comes to controlling the speed of an induction motor for various purposes. This study examines the performance of a three-phase induction motor using approaches such as field-oriented control and direct torque control. This work utilized the fractional order Darwinian particle swarm optimization (FODPSO) method in fuzzy methodology to optimize a motor’s performance. Field-oriented control (FOC) and Direct torque control (DTC) methods are regulated by FODPSO, which is compared to standard FOC and DTC methods. MATLAB-Simulink was used to compare the outcomes of each system’s simulation model to determine which one performed the best. The support vector machine-direct torque control (SVM-DTC) technology is famous for its rapid dynamic response and decreased torque ripples. Using torque and settling time and rising time reduction, the suggested technique is proved to be superior to the present way.

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23

Beniak, Ryszard, Krzysztof Górecki, and Krzysztof Rogowski. "Real-Time Switching Number Reduction SVM for a Two-Phase Motor Powered by Three-Level NPC Inverter." Energies 16, no. 2 (January 9, 2023): 749. http://dx.doi.org/10.3390/en16020749.

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A three-level neutral point clamped inverter with three phase legs is often used to power three-phase electrical motors. This type of multilevel inverter has its advantages over two-level inverters. The main advantages are lower harmonic distortion and less stress on motor windings. This three-level inverter can be also used as a power source for a two-phase induction motor. A one-phase induction motor with a starting capacitor and auxiliary windings is in fact a two-phase induction motor. In this article, we show that the switching number reduction method, previously presented for use with three-phase induction motors, can be used with two-phase motors as well, after some crucial modifications. The reduction of switching decreases the switching losses. The switching number reduction is obtained with modified space vector modulation using redundant voltage vectors. The method was simulated and then implemented on a prototype 3L-NPC inverter powering a one-phase induction motor with auxiliary windings. A switching number reduction of about 19% to 29% was obtained, depending on modulation parameters.

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24

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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25

Tadakuma, Susumu, Shigeru Tanaka, Kazutoshi Miura, and Haruo Naitoh. "Vector controlled induction motors using feed forward & feedback control." IEEJ Transactions on Industry Applications 110, no. 5 (1990): 487–96. http://dx.doi.org/10.1541/ieejias.110.487.

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26

Chang, Yeong‐Hwa, Jin‐Chuan Chang, Cheng‐Jen Lee, and Yuan‐Yuan Wang. "Modeling and QFT‐based design of vector control induction motors." Journal of the Chinese Institute of Engineers 24, no. 4 (June 2001): 473–85. http://dx.doi.org/10.1080/02533839.2001.9670644.

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27

Khaliq, Arjmand, Syed Abdul Rahman Kashif, Fahad Ahmad, Muhammad Anwar, Qaisar Shaheen, Rizwan Akhtar, Muhammad Arif Shah, and Abdelzahir Abdelmaboud. "Indirect Vector Control of Linear Induction Motors Using Space Vector Pulse Width Modulation." Computers, Materials & Continua 74, no. 3 (2023): 6263–87. http://dx.doi.org/10.32604/cmc.2023.033027.

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28

Zhang, Qingfei, Jinghong Zhao, Sinian Yan, Yiyong Xiong, Yuanzheng Ma, and Hansi Chen. "Virtual Voltage Vector-Based Model Predictive Current Control for Five-Phase Induction Motor." Processes 10, no. 10 (September 23, 2022): 1925. http://dx.doi.org/10.3390/pr10101925.

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The high-performance control technology of multi-phase motors is a key technology for the application of multi-phase motors in many fields, such as electric transportation. The model predictive current control (MPCC) strategy has been extended to multi-phase systems due to its high dynamic performance. Model-predictive current control faces the problem that it cannot effectively regulate harmonic plane currents, and thus cannot obtain high-quality current waveforms because only one switching state is applied in a sampling period. To solve this problem, this paper uses the virtual vector-based MPCC to select the optimal virtual vector and apply it under the premise that the average value of the harmonic plane voltage in a single switching cycle is zero. Taking a five-phase induction motor as an example, the steady-state and dynamic performance of the proposed virtual vector MPCC and the traditional model predictive current control were simulated, respectively. Simulation results demonstrated the effectiveness of the proposed method in improving waveform quality while maintaining excellent dynamic performance.

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29

Vithayathil, Joseph. "Field Oriented Control (Vector Control) of 3 Phase Squirrel Cage Induction Motors." IETE Journal of Research 37, no. 1 (January 1991): 57–73. http://dx.doi.org/10.1080/03772063.1991.11436937.

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30

Thanh Ha, Vo, Pham Thi Giang, and Phuong Vu. "Multilevel inverter application for railway traction motor control." Bulletin of Electrical Engineering and Informatics 11, no. 4 (August 1, 2022): 1855–66. http://dx.doi.org/10.11591/eei.v11i4.3964.

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This paper will present why choosing a 7-level reverse voltage source fed to three-phase induction motors to the railway traction motor. In addition, this paper shows the implementation of space vector pulse width modulation (SVPWM) and the math model of induction motor, stator currents, and speed controller design of electric traction drive system based on field-oriented control (FOC). By MATLAB/Simulink method, this multi-level inverter in FOC structure reduces total harmonic distortion (THD) more than other multi-level inverters such as 3 and 5-level inverter. Furthermore, this FOC control structure combined with 7-level inverter improved speed and torque responses required for railway traction motor load.

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31

Kidd, Braden. "Vector-Based Magnetic Circuit Modelling of Induction Motors." Magnetism 2, no. 2 (April 28, 2022): 130–51. http://dx.doi.org/10.3390/magnetism2020010.

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Electro-mechanical devices incorporating rotating magnetic fields can be modelled using a wide range of analytical techniques. Choosing a modelling technique usually requires a trade off between computational efficiency and accuracy. Magnetic flux-based models aim to achieve an optimum balance between computational intensity and accuracy, as required for real time control applications. This paper demonstrates how vector-based magnetic circuit equations can be used to describe the operational characteristics of an induction motor at a more fundamental level than commonly used magnetic flux models. Doing so allows for closed form equations to be derived directly from device-specific geometry. The resultant model has advantages of numerical method-based analytical techniques while retaining the computational efficiency of closed form equations.

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32

Pucci, Marcello. "State Space-Vector Model of Linear Induction Motors." IEEE Transactions on Industry Applications 50, no. 1 (January 2014): 195–207. http://dx.doi.org/10.1109/tia.2013.2266351.

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33

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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Zahraoui, Yassine, Mohamed Akherraz, Chaymae Fahassa, and Sara Elbadaoui. "Induction Motor DTC Performance Improvement by Reducing Flux and Torque Ripples in Low Speed." Journal of Robotics and Control (JRC) 3, no. 1 (January 12, 2022): 93–100. http://dx.doi.org/10.18196/jrc.v3i1.12550.

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Since induction motors were invented, human civilization has changed forever. Due to their beneficial characteristics, induction motors are widely used and have become the most prevalent electrical counterparts. Many control strategies for induction motors have been developed, varying from scalar to vector control. In the class of vector control, the Direct Torque Control (DTC) was proposed as an alternative that ensures separated flux and torque control while remaining completely in a stationary reference frame. It offers direct inverter switching, reasonable simplicity than other vector control techniques, and less sensitivity to parameter variation. However, the use of hysteresis controllers in conventional DTC involves non-desired ripples in the system's flux and torque, which leads to bad system performances, primarily in low-speed operations. This paper aims to minimize the chattering and ensure the augmented system's performance in terms of robustness and stability. The proposed method is an improved version of DTC, which combines the addition of the Space Vector Machine (SVM) algorithm to the DTC and the increased number of DTC sectors that generate reference control voltages. Satisfactory results have been obtained by numerical simulation in MATLAB/Simulink. Eventually, the proposed method is proven to be a fast dynamic decoupled control that robustly responds to external disturbance and system uncertainties, especially in the low-speed range.

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35

Khasanah, Ulfatun, Supari Supari, and Sri Heranurweni. "SIMULASI PENGATURAN KECEPATAN MOTOR INDUKSI 3 PHASA DENGAN DIRECT TORQUE CONTROL MENGGUNAKAN MATLAB." eLEKTRIKA 9, no. 1 (December 4, 2018): 13. http://dx.doi.org/10.26623/elektrika.v9i1.1109.

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Induction motors are widely used in the industrial world because they have many advantages, including construction that is very simple and strong, cheap, has high efficiency, quite good power factor, and maintenance is easier. Besides the advantages of induction motors also have weaknesses, one of the disadvantages of an induction motor is not being able to maintain its speed constantly if there is a change in load. If there is a change in load, the speed of the induction motor will decrease. One method of regulating the speed of an induction motor developed in addition to vector control is the Direct Torque Control (DTC) method. The DTC control technique allows direct and separate flux and torque settings and can be done without using a speed sensor. The estimated rotor rotation, torque and flux is carried out by the DTC which is inputted with stator voltage and current. To achieve the desired flux and torque estimation is used as feedback on the control system. In this final assignment, the speed regulation of the induction motor will be simulated using the DTC method using Matlab. The results obtained through the simulation show the length of time to reach the reference speed for speeds of 500rpm and 1000 rpm is around 0.5 seconds. Keywords : Induction motor, Direct Torque Control, Matlab.

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36

Han, Zhengqing, Jin Xu, Wanzhi Rui, and Liu Liu. "Improved vector control strategy of linear induction motors for electromagnetic launch." IET Power Electronics 13, no. 19 (December 2020): 4659–64. http://dx.doi.org/10.1049/iet-pel.2020.0906.

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37

ZHANG Wei, ZHANG Yingchao, and LIU Yujuan. "Simulation of Vector Control System of Induction Motors Base on Matlab." International Journal of Advancements in Computing Technology 4, no. 8 (May 31, 2012): 18–25. http://dx.doi.org/10.4156/ijact.vol4.issue8.3.

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38

Tsuji, Mineo, Glanny M. Ch Mangindaan, Yurika Kunizaki, and Shin-ichi Hamasaki. "Simplified Speed-Sensorless Vector Control for Induction Motors and Stability Analysis." IEEJ Journal of Industry Applications 3, no. 2 (2014): 138–45. http://dx.doi.org/10.1541/ieejjia.3.138.

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39

Fang-Zheng Peng and T. Fukao. "Robust speed identification for speed-sensorless vector control of induction motors." IEEE Transactions on Industry Applications 30, no. 5 (1994): 1234–40. http://dx.doi.org/10.1109/28.315234.

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40

Asher, G. M., and M. Summer. "Parallel Processing for Vector Control of Induction Motors: Implementation and Review." EPE Journal 3, no. 1 (March 1993): 27–38. http://dx.doi.org/10.1080/09398368.1993.11463310.

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Huangang, Wang, Xu Wenli, Yang Geng, and Li Jian. "Variable-structure torque control of induction motors using space vector modulation." Electrical Engineering 87, no. 2 (February 10, 2004): 93–102. http://dx.doi.org/10.1007/s00202-003-0224-0.

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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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Nagase, Hiroshi, Nobuyoshi Mutoh, and Hiroshi Sugai. "A design method for current control loop on vector control of induction motors." IEEJ Transactions on Industry Applications 107, no. 12 (1987): 1491–98. http://dx.doi.org/10.1541/ieejias.107.1491.

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Morón, Carlos, Enrique Tremps, Angel Gomez, Alfonso Garcia, and Jose Andrés Somolinos. "Switched Reluctance Motors Control." Key Engineering Materials 605 (April 2014): 247–50. http://dx.doi.org/10.4028/www.scientific.net/kem.605.247.

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A current controlled switched reluctance motor (SRM) drive for variable speed applications with efficiency optimization is presented. A robust, modular and flexible prototyping SRM drives is proposed. It is composed of a power electronic block, a driver board, a measurement and interface board and a DSP controller board. Firing angles are computed online, the turn-on is calculated by means of the Boses rule, and the turn-off is calculated using the general theory of the optimal turn-off angle proposed by Gribble. In steady state operation, tie initial selection of firing angles is fine-tuned by means of an algorithm that minimizes the input power of the drive. A 6/4 switched reluctance motor drive prototype was tested and the experimental results show an improvement in online efficiency, a good steady-state performance and no deterioration in the dynamic response. An efficiency comparison with a commercial vector-controlled induction motor drive of the same size is also included.

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Yu, Hong Xia, and Chuang Li. "Bus-Clamping Based Improved Discrete Duty Ratio Control Technology of Direct Torque Control for Induction Motors." Applied Mechanics and Materials 541-542 (March 2014): 1177–84. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.1177.

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One of the disadvantages of traditional direct torque control is high torque ripple, A method of reduce torque ripple was proposed basing bus-clamping and duty ratio control technique in this paper. Firstly, the switch vector table with bus-clamping technology was improved by analyzing the role of zero voltage vector to reduce torque ripple in different sector of voltage. Secondly, on the base of combing the improved bus-clamping direct torque control (BCDTC) and discrete duty ratio control (DDRC), a new switch vector table with discrete duty ratio and bus clamping was designed by analyzing the role of zero voltage vector to reduce torque ripple in different speed range. Finally, simulations are performed to verify the proposed strategies.

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Gunawan, Ridwan, Muhammad Luniara Siregar, and Feri Yusivar. "The Influence of Moment of Inertia to Induction Motor Rotation in Sensorless Direct Torque Control and Duty Ratio." Applied Mechanics and Materials 313-314 (March 2013): 55–60. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.55.

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The vector control has become the first alternative in control of three phase induction motor. One of the vector control method which is commonly used is the direct torque control (DTC) method. However, this system has drawback due to the existence of torque ripples. The addition of the duty ratio control base on fuzzy logic can give better performance compared to conventional DTC. By doing an examination on DTC and duty ratio using small, medium and big capacities of three phase induction motors can be shown the influence from moment of inertia to rotor rotation. This paper uses MATLAB SIMULINK for the simulation study with three types of motor power, for example 1, 10 and 50 hp. It is shown that using the same parameters, a motor with a larger moment inertia gives a better performance in comparison to a motor with smaller moment of inertia.

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Gunabalan, R., P. Sanjeevikumar, Frede Blaabjerg, Patrick W. Wheeler, Olorunfemi Ojo, and Ahmet H. Ertas. "Speed sensorless vector control of parallel-connected three-phase two-motor single-inverter drive system." FACETS 1, no. 1 (March 1, 2017): 1–16. http://dx.doi.org/10.1139/facets-2015-0004.

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This paper presents the characteristic behavior of direct vector control of two induction motors with sensorless speed feedback having the same rating parameters, paralleled combination, and supplied from a single current-controlled pulse-width-modulated voltage-source inverter drive. Natural observer design technique is known for its simple construction, which estimates the speed and rotor fluxes. Load torque is estimated by load torque adaptation and the average rotor flux was maintained constant by rotor flux feedback control. The technique’s convergence rate is very fast and is robust to noise and parameter uncertainty. The gain matrix is absent in the natural observer. The rotor speed is estimated from the load torque, stator current, and rotor flux. Under symmetrical load conditions, the difference in speed between two induction motors is reduced by considering the motor parameters as average and difference. Rotor flux is maintained constant by the rotor flux control scheme with feedback, and the estimation of rotor angle is carried out by the direct vector control technique. Both balanced and unbalanced load conditions are investigated for the proposed AC motor drive system. Experimental results presented in this paper show good agreement with the theoretical formulations.

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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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Titova, T. S., A. M. Evstaf’ev, and A. A. Pugachev. "Vector control system of electric traction drive with power losses minimization." Journal of Physics: Conference Series 2131, no. 4 (December 1, 2021): 042090. http://dx.doi.org/10.1088/1742-6596/2131/4/042090.

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Abstract Based on the operating conditions analysis of electric traction drives of locomotives, it has been established that the vector control systems for an asynchronous motor fully satisfy all the requirements. On the basis of a T-shaped equivalent circuit, a mathematical model of an induction motor is presented, taking into account losses in the stator steel, the effect of the rotor current and saturation displacement. An algorithm for the formation of the optimal, from the point of view of power losses, task for the rotor flux linkage when using a vector control system with the orientation of the axes of the coordinate system along the rotor magnetic field, is developed. The limiting factors are the limitations on the current and voltage of the motor stator, the diesel generator set power. A shared control system for an electric traction drive with asynchronous motors has been developed, which provides direct control of wheel slip with a subordinate vector control system that minimizes power losses. The results of modeling in a steady-state operation and a start-up mode for an electric traction drive of a two-axle bogie with axial support and 630 kW asynchronous motors with the use of various options for organizing circuit reentrances are presented.

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Kawata, M., K. Morita, K. Oba, K. Kamei, and K. Inoue. "Exact Linearization and Nonlinear Decoupling of Induction Motors for Speed Control and Vector Control." IFAC Proceedings Volumes 28, no. 16 (August 1995): 67–71. http://dx.doi.org/10.1016/s1474-6670(17)45155-x.

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