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Journal articles on the topic 'Control of Induction Motors'

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Author: Grafiati
Published: 6 September 2023

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1

Rachid, A. "On induction motors control." IEEE Transactions on Control Systems Technology 5, no. 3 (May 1997): 380–82. http://dx.doi.org/10.1109/87.572135.

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2

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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3

Lorenz, R. D., T. A. Lipo, and D. W. Novotny. "Motion control with induction motors." Proceedings of the IEEE 82, no. 8 (1994): 1215–40. http://dx.doi.org/10.1109/5.301685.

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4

Singh, Yaduvir, Darshan Singh, and Dalveer Kaur. "Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (March 5, 2013): 400–413. http://dx.doi.org/10.24297/ijct.v6i3.4464.

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than the conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PI controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motor Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strong ability to adapt to the significant change of system parameters.
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5

Al Rakib, Md Abdullah, Md Moklesur Rahman, Md Miraj Hossain, Md Ashiqur Rahman, Mousume Samad, and Fysol Ibna Abbas. "Induction Motor Based Speed and Direction Controller." European Journal of Engineering and Technology Research 7, no. 6 (November 28, 2022): 82–86. http://dx.doi.org/10.24018/ejeng.2022.7.6.2868.

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Induction motors are widely employed in a variety of sectors, from household gadgets to industrial machinery. This mandates the deployment of an effective and safe speed control device. Induction motors may also run in either direction, which is beneficial in a variety of applications. The Induction Motor Speed and Direction Controller Project are designed to regulate the induction motor's speed and direction. Induction motors run on straight AC lines, and the amount of power they receive determines how fast they revolve. Through AC driver circuitry, we may regulate the power of the AC line to change the speed of the induction motor. A microcontroller from the Atmega family is utilized to provide PWM power to an opto-coupler, which drives the TRIAC that supplies power to the induction motor. The microcontroller receives instructions via a mobile phone connection to the system. The mobile phone sends DTMF signals to the system, which the system recognizes and responds to appropriately. A button is used to raise the speed of the induction motor, a button to change direction, and a button to lower the speed of the induction motor, according to the video. On the LCD, the entire procedure may be observed in real time. In this way, this project demonstrates how to control the speed and direction of an induction motor.
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6

Awaar, Vinay Kumar, Sandhya Rani M.N, Pravardh Naragani, Sasidhar Talluri, Samanvita Polisetty, Satya Sreyas Vakkalanka, and Hassan Mohmmed Al-Jawahry. "Speed Control of Induction Motor using Digital Signal Processor TMS320F28027F." E3S Web of Conferences 391 (2023): 01178. http://dx.doi.org/10.1051/e3sconf/202339101178.

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Single-phase induction motors are widely used today. A single-phase induction motor is operated using a single-phase inverter. The Single-phase inverter consists of four MOSFETs, two for the high side and two for the low side. The Single-phase induction motors are a constant speed motor. As a corollary, the speed control of the Single-Phase Induction motor becomes a very important necessity. Speed control of the Single-Phase Induction motor can be done in many ways. The method followed in this paper is voltage control/ (V/F Control). By controlling the duty cycle of the MOSFETs, we can control the output of the inverter and there by control the speed of the Single-Phase Induction motor. The inverter has been interfaced with MATLAB, which generates pulses and sends them to the Digital Signal processor. Texas Instrument’s low-cost Piccolo F2802x MCUs are ideal for a variety of applications, such as washing machines, compressors, pumps, fans, electric bicycles, tools, treadmills, compact drives, sewing and textile machines, lifts and hobby motors. This paper focuses on closed loop control of single-phase induction motor using this Micro Controller, F2802x Digital Signal Processor using feedback obtained through a Hall Sensor.
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7

Burade, Piyush, Ravi Aurase, Anjali Hirapure, and Rohini Chawardol. "AC Motor Monitoring and Controlling Using IoT." June-July 2023, no. 34 (May 27, 2023): 7–12. http://dx.doi.org/10.55529/jecnam.34.7.12.

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The design of IOT technology is shown to monitor and diagnose the performance of a three-phase induction motor and record crucial operational characteristics. Today's technology is rapidly tied to the Internet of Things (IOT), keeping things connected efficiently. For the purpose of gathering and processing induction motor parameters, the solutions given include an IOT-based platform. The parameters are made up of sensors, including humidity, temperature, voltage, and current sensors. With the help of the pocket IOT application, this data may be shown on a smartphone, accessed via web sites, and stored in a cloud platform. It will be promptly informed if performance limits are exceeded. To prevent motor downtime, an induction motor can be checked and immediate action taken can save money and time. Utilising IOT to monitor induction motors has several benefits, including notification of problem alerts and historical data for preventative maintenance. Recent technological advancements have greatly improved the quality, speed, and ease of our lives. This article explains how to manage and control induction motors (IOT) using the Internet of Things. The IOT is more effective and convenient for controlling systems because it can be used from anywhere via Wi-Fi. This intelligent system's main objective is to prevent induction motor failure by taking preventive measures. Because of its many benefits, including their self-starting nature, low cost, high power factor, and robust construction, induction motors are utilised in a wide range of applications, including those for electric vehicles, businesses, and agricultural areas. In order to maximise motor efficiency and assure safe and reliable operation, it is crucial to identify defects in motors as soon as possible using the best smart protection approach currently available. Remote monitoring is possible for the induction motor's speed, voltage, current, temperature, humidity, and other electrical, mechanical, and environmental parameters because errors in these areas seriously damage the motors and have an impact on the induction motor's ability to function in other applications. In this system for monitoring and controlling Induction using IOT, a number of sensors are employed to acquire the motor data in real-time and a relay is used to control the motor. The proposed system will collect and analyse induction motor parameters in real-time using an IOT-based platform.
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8

Shrivastava, R. K., Rakesh Misar, Arvind Vaidya, Pawan Kanoje, and Sakesh Hiwrale. "IoT-Based Induction Motor Monitoring System for Industries." Journal of Switching Hub 8, no. 1 (April 29, 2023): 28–37. http://dx.doi.org/10.46610/josh.2023.v08i01.005.

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The most common kind of motor used in industrial applications is still the AC motor. In many applications, it is crucial to monitor and regulate the induction motor's settings, and there are numerous ways to guarantee dependable performance. This research focuses on the remote monitoring and management of a three-phase induction motor's numerous parameters using the Internet of Things (IoT). Short circuit motor temperature, current, and voltage are just a few of the characteristics that the sensor and sensor module keep track of and send to the processing unit, which displays the parameter on the server. To prevent system failures through the server gateway, the system also includes automatic and manual control methods to stop or start the short-circuited motor. With constant monitoring to detect failures and also to identify preventative maintenance, this system's adoption improves the machine's operational efficiency. The most prevalent type of motor in use today across all industries is the AC motor and the brilliant scientist Nikola Tesla's development of an induction motor. The induction motor is responsible for over 50% of the world's electricity consumption. 90% of industries utilize induction motors because they have the necessary properties like being naturally "self-starting" motors, and not requiring permanent magnets, brushes, commutator rings, or position sensors. Moreover, induction motors are more affordable and reliable than other types of motors, retain a strong power factor, require less maintenance, are extremely efficient, and are tiny in size.
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9

Benbouzid, Mohamed, Abdelkrim Benchaib, Gang Yao, Brice Beltran, and Olivier Chocron. "A Metric Observer for Induction Motors Control." Journal of Control Science and Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3631254.

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This paper deals with metric observer application for induction motors. Firstly, assuming that stator currents and speed are measured, a metric observer is designed to estimate the rotor fluxes. Secondly, assuming that only stator currents are measured, another metric observer is derived to estimate rotor fluxes and speed. The proposed observer validity is checked throughout simulations on a 4 kW induction motor drive.
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10

Faizal, Ahmad Ahmad, Agustiawan Agus, Nanda Putri Miefthawati, Mulyono Mulyono, Rudy Kurniawan, Elfira Safitri, Corry Corazon Marzuki, and Rahmadeni Rahmadeni. "Direct Torque Control (DTC) Design With Fuzzy Sugeno-Proportional Derivative for 3-Phase Induction Motor Speed Control." Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 10, no. 1 (April 21, 2023): 111–20. http://dx.doi.org/10.33019/jurnalecotipe.v10i1.3925.

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In general, in the industrial world, induction motors are more widely used than direct current motors, due to the characteristics of induction motors that are sturdy, reliable, easy to maintain, and relatively inexpensive. The phenomenon of changing rotational speed when the load changes results in regulation of the speed of the induction motor, which risks slow response time, there is overshoot which should still be minimized, and there are disturbances caused by external environmental factors, so that a controller is needed that is able to work effectively to optimize performance. 3 phase induction motor. The purpose of this study is to design a sugeno-PD fuzzy DTC controller, where the DTC provides a fast and strong response mounted on an AC motor. Fuzzy Sugeno provides a short calculation time and its reasoning includes wide enough data and PD to speed up the response time results. So that the proposed method produces an induction motor rotating speed according to the given setpoint of 100 rad/s with a settling time of 0.45 seconds, a rise time of 0.2 seconds and no steady state error. From the state of the plan output response before being given the controller there is a steady state error of 5 rad/s, a maximum overshoot of 5.4111%, a settling time of 0.1554 seconds and a rise time of 0.1554 seconds
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11

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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12

Yin, Zhen Yong, and Yun Tao Yue. "Soft Starting of Medium Voltage Induction Motors with Fuzzy PD Control." Applied Mechanics and Materials 313-314 (March 2013): 359–64. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.359.

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A novel fuzzy control soft starting medium voltage induction motor is presented in this paper, Introduced the principle and the design of software and hardware on the medium voltage soft starter for asynchronous motors. According to analysis of the starting characteristic of induction motors, discussed a design method of medium voltage induction motor soft starting based on fuzzy Proportional-Differential (PD) control. Through measuring the input current, fuzzy control and PD control are used in the different phases of starting process to get the best control results.
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13

Rossi, Andrea, and Carlo Concari. "A Novel BLDC-Like DTC Control Technique for Induction Motors." Advances in Power Electronics 2012 (June 21, 2012): 1–8. http://dx.doi.org/10.1155/2012/986702.

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DC brushless motors are widely adopted for their simplicity of control, even in sensorless configuration, and their high torque density. On the other hand, induction motors are very economical due to the absence of permanent magnets; for the same reason they can easily be driven in the flux-weakening region to attain a wide speed range. Nevertheless, high dynamic induction motors drives, based on field-oriented (FOC) or predictive control, require large amounts of computing power and are rather sensitive to motor parameter variations. This paper presents a simple DTC induction motor control algorithm based on a well-known BLDC control technique, which allows to realize a high dynamic induction motor speed control with wide speed range. The firmware implementation is very compact and occupies a low amount of program memory, comparable to volt-per-Hertz- (V/f-) based control algorithms. The novel control algorithm presents also good performance and low current ripple and can be implemented on a low-cost motion control DSP without resorting to high-frequency PWM.
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14

Palka, Ryszard, and Konrad Woronowicz. "Linear Induction Motors in Transportation Systems." Energies 14, no. 9 (April 29, 2021): 2549. http://dx.doi.org/10.3390/en14092549.

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This paper provides an overview of the Linear Transportation System (LTS) and focuses on the application of a Linear Induction Motor (LIM) as a major constituent of LTS propulsion. Due to their physical characteristics, linear induction motors introduce many physical phenomena and design constraints that do not occur in the application of the rotary motor equivalent. The efficiency of the LIM is lower than that of the equivalent rotary machine, but, when the motors are compared as integrated constituents of the broader transportation system, the rotary motor’s efficiency advantage diminishes entirely. Against this background, several solutions to the problems still existing in the application of traction linear induction motors are presented based on the scientific research of the authors. Thus, solutions to the following problems are presented here: (a) development of new analytical solutions and finite element methods for LIM evaluation; (b) comparison between the analytical and numerical results, performed with commercial and self-developed software, showing an exceptionally good agreement; (c) self-developed LIM adaptive control methods; (d) LIM performance under voltage supply (non-symmetrical phase current values); (e) method for the power loss evaluation in the LIM reaction rail and the temperature rise prediction method of a traction LIM; and (f) discussion of the performance of the superconducting LIM. The addressed research topics have been chosen for their practical impact on the advancement of a LIM as the preferred urban transport propulsion motor.
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15

El-Sharkawi, M. A., and M. Akherrax. "Tracking Control Technique for Induction Motors." IEEE Power Engineering Review 9, no. 3 (1989): 34–35. http://dx.doi.org/10.1109/mper.1989.4310542.

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16

Kwan, C. M. "Robust adaptive control of induction motors." International Journal of Control 67, no. 4 (January 1997): 539–52. http://dx.doi.org/10.1080/002071797224063.

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17

Ortega, Romeo, Per Johan Nicklasson, and Gerardo Espinosa-Pérez. "On speed control of induction motors." Automatica 32, no. 3 (March 1996): 455–60. http://dx.doi.org/10.1016/0005-1098(95)00171-9.

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18

Chiasson, J. "Comments on "On induction motors control"." IEEE Transactions on Control Systems Technology 7, no. 1 (January 1999): 136. http://dx.doi.org/10.1109/87.736769.

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19

El-Sharkawi, M. A., and M. Akherraz. "Tracking control technique for induction motors." IEEE Transactions on Energy Conversion 4, no. 1 (March 1989): 81–87. http://dx.doi.org/10.1109/60.23154.

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20

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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21

Hardi, Surya, R. Sembiring, Muadzzah Rachmad, Rohana, and I. Nisja. "Simulation of induction motor behavior under voltage sags using alternative transient program." Journal of Physics: Conference Series 2193, no. 1 (February 1, 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2193/1/012030.

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Abstract The primary source of voltage sags is a short circuit fault in the power system. Three-phase fault can result in a more severe effect on the equipment. The voltage sags have affected significantly on performance degradation of the induction motor. The motor behaviors can be investigated in terms of rotation speed, torque, peak current, and recovery time during and after voltage sags. This study is to investigate induction motor behavior under voltage sags using the alternative transient program (ATP) draw software in simulation models. Distinct rated capacity, mechanical inertia, and loads torque (constant, linear, and variable) of the motor were used to investigate the motor’s behavior during and after sag end. Voltage sags resulted from three-phase fault at the certain locations in industrial power systems. The motor rotation speed decreases in slightly distinct during voltage sag but recovery times required to motors are longer for the large capacity motors. The large motors create the larger inrush current can reach more than five times its nominal. The motors with constant load toque subjected to voltage sag lead loss control in speed.
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22

Kashirskikh, Veniamin, Valery Zavyalov, and Irina Semykina. "On the Issue of Increasing Reliability of Electric Mining Machinery." E3S Web of Conferences 174 (2020): 03024. http://dx.doi.org/10.1051/e3sconf/202017403024.

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The paper considers conditions of mining machinery electric drives operation and analyzes the causes of insufficient reliability. To improve the reliability and efficiency of induction motors the authors propose the computer system designed for dynamic identification of electric motors to monitor their parameters and variables, which are estimated on operating equipment in real time. Operation of the system allows calculating unmeasurable quantities and is based on the mathematical model of the induction motor as well as mathematical methods of estimation and the information contained in the measured phase voltages and currents of the stator. For dynamic mode the mathematical model of the motor’s state and the measurement part were developed and certain results were obtained. Real-time information can be used for both control and management of electric motors, function testing, protection, forecasting as well as acceptance testing of electric motors in mining machinery electric drives to identify their individual data and quality control of the industrial processes in the manufacture or repair of motors.
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23

Glowacz, A. "Diagnostics of DC and Induction Motors Based on the Analysis of Acoustic Signals." Measurement Science Review 14, no. 5 (October 1, 2014): 257–62. http://dx.doi.org/10.2478/msr-2014-0035.

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Abstract In this paper, a non-invasive method of early fault diagnostics of electric motors was proposed. This method uses acoustic signals generated by electric motors. Essential features were extracted from acoustic signals of motors. A plan of study of acoustic signals of electric motors was proposed. Researches were carried out for faultless induction motor, induction motor with one faulty rotor bar, induction motor with two faulty rotor bars and flawless Direct Current, and Direct Current motor with shorted rotor coils. Researches were carried out for methods of signal processing: log area ratio coefficients, Multiple signal classification, Nearest Neighbor classifier and the Bayes classifier. A pattern creation process was carried out using 40 samples of sound. In the identification process 130 five-second test samples were used. The proposed approach will also reduce the costs of maintenance and the number of faulty motors in the industry.
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24

Niazi, Muhammad Ahsan, Qaisar Hayat, Basit Khan, and Muhammad Afaq. "Speed Control of Three Phase Induction Motor using Variable Frequency Derive Control System." International Journal of Current Engineering and Technology 10, no. 01 (October 31, 2021): 5–10. http://dx.doi.org/10.14741/ijcet/v.10.1.2.

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Three-phase AC induction motors play a very important role in industry due to its low price and simplicity. The induction motor is used to convert three-phase AC power into mechanical power. When the load on an induction motor increases the percentage of slip is increase, which leads to decrease the speed of induction motor while constant speed in industry is very important. This paper presents a simple converter for driving three-phase Induction motor from three-phase AC supply by using the variable frequency drive in feedback. So the speed of induction motor is controlled by variable frequency device automatically through controller. It is simple and efficient method to control the speed because speed depends upon voltage, pole and frequency. Poles are fix inbuilt in the motor so we cannot change it and speed control through VFD is simple and energy efficient method. This technique implemented on hardware. So this technique is robust and simpler to implement.
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25

Wogi, Lelisa, Tadele Ayana, Marcin Morawiec, and Andrzej Jąderko. "A Comparative Study of Fuzzy SMC with Adaptive Fuzzy PID for Sensorless Speed Control of Six-Phase Induction Motor." Energies 15, no. 21 (November 2, 2022): 8183. http://dx.doi.org/10.3390/en15218183.

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Multi-phase motors have recently replaced three-phase induction motors in a variety of applications due to the numerous benefits they provide, and the absence of speed sensors promotes induction motors with variable speed drives. Sensorless speed control minimizes unnecessary speed encoder cost, reduces maintenance, and improves the motor drive’s reliability. The performance comparison of the fuzzy sliding mode controller (FSMC) with adaptive fuzzy proportional integral derivative (AFPID) control methods for sensorless speed control of six-phase induction motors was analyzed in this study, and the proposed control system has an advantage for multiphase machines, specifically six-phase induction motors (IMs) in this study, as they are the current active research area for electric vehicles, hybrid electric vehicles, aerospace, ship propulsion, and high-power applications. The speed control of a six-phase induction motor was performed by using an AFPID controller and FSMC. The comparative performance analysis was based on sensorless speed control of the six-phase induction motor. A proportional integral derivative (PID) controller is commonly employed as it is used to eliminate oscillations, but it has several drawbacks, such as taking a long time to decrease the error and stabilize the system at constant speed. The fuzzy type-2 and PID controllers were hybridized so as to obtain the advantages of both to enhance the system performance. Finally, the comparison result revealed that the FSMC preforms significantly better by achieving good tracking performance. The control technique maintains the sliding mode approach’s robustness while providing reduced overshoots with a smooth control action, and the FSMC revealed good dynamic response under load variations when compared to the AFPID controller.
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26

Yu, Hai Fang, Peng Gao, and Shun Jie Han. "Efficiency Optimization in Speed-Sensorless Control of Induction Motors." Applied Mechanics and Materials 672-674 (October 2014): 1214–18. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1214.

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An efficiency optimization model for induction motors with speed-sensorless control is presented in this paper. An mathematical loss model with stator iron loss in DTC(Direct Torque Control) system is used to calculate the motors loss, the loss efficiency and the optimal flux. Additionally, the efficiency optimization control strategy combined with the speed-sensorless model is used to rebuild the simulation modeling. The simulation results with the proposed control strategy show superior effects compared to the traditional control methods. The optimal control strategy can be achieved to improve the motor efficiency.
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27

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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28

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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29

Guerrero-Ramı´rez, Gerardo, and Yu Tang. "Decentralized Control of Rigid Robots Driven by Current-Fed Induction Motors." Journal of Dynamic Systems, Measurement, and Control 124, no. 4 (December 1, 2002): 549–53. http://dx.doi.org/10.1115/1.1513571.

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The problem of controlling a rigid manipulator driven by induction motors to follow a desired trajectory using the decentralized control technique is considered in this paper. Parameter uncertainties of the rigid robot are considered. First, a PI controller is used to force an induction motor to work in the current-command mode, then based on a fourth-order reduced model of induction motors, a current controller is proposed using only local measurements of each link (link position, velocity and stator currents of the induction motor). The rotor flux is estimated through a closed-loop observer. Provided that the flux observer is properly initialized, this controller is singularity-free and guarantees the uniform ultimate stability of the closed-loop system. Simulations are presented to illustrate the performance of this controller.
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30

Pugachev, Alexander, and Galina Fedyaeva. "Definition of the Transfer Function Parameters of Asynchronous Motor as an Object of Temperature Control." Applied Mechanics and Materials 698 (December 2014): 124–30. http://dx.doi.org/10.4028/www.scientific.net/amm.698.124.

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The analysis and systematization of research methods of thermal state of induction motors including traction ones is done. It is shown that for each type of motor it is necessary to develop its own mathematical model of thermal processes, and its verification should be carried out only on the basis of experimental investigations. The structure and operating principles of the complex developed physical model of the traction electric drive with induction motors is represented. The motors have a cooling system with variable-speed electric fan and subsystem of measurement and recording of monitored parameters. The method and the results of experimental study of the processes of heating and cooling of the induction motor are illustrated. Transfer functions and approximation curves of transients are proposed, their parameters are defined.
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31

Wiryajati, I. Ketut, A. D. Giriantari, Lie Jasa, and I. N. S. Kumara. "Speed Control Strategy for Three Phase Induction Machine Fed Inverter Base on Carrier Base Pulse Width Modulation (CBPWM)." International Journal of Engineering and Emerging Technology 5, no. 1 (July 27, 2020): 14. http://dx.doi.org/10.24843/ijeet.2020.v05.i01.p05.

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Abstract— An induction motors (IM) in many industries is used because it has several advantages, such as a very simple and strong construction, the price is relatively cheap, has good efficiency, power factor is quite good, and maintenance is easier. Besides the advantages of induction motors also have disadvantages, one disadvantage of induction motors is not being able to maintain a constant speed when there is a change in load. If the load changes, the speed of the induction motor will decrease. One method of regulating the speed of an induction motor presented in this study is the regulation of an induction motor using a carrier based PWM (CBPWM) inverter with the field oriented control (FOC) technique. The estimation of rotor rotation, torque and flux is done by carrier- based PWM technique which is given input voltage and stator current. To achieve the desired flux and torque, estimation is used as feedback in the control system. In this study, it will be simulated the induction motor speed regulation with a carrier base-based inverter using Matlab. The results obtained through simulation show the length of time to reach the reference speed for speeds of 1500 rpm and 1450 rpm is around 0.45 seconds. And THD average 2,675%.
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32

Tran, Minh-Duc, Minh-Tai Vo, Van-Dong Hai Nguyen, Thi-Thanh-Thao Ton, Quoc-Thai Nguyen, Thanh-Long Nguyen, Thi-Huong Nguyen, and Huu-Loc Nguyen. "A Study of PID Direct Torque Control for Three-Phase Asynchronous Motor." Robotica & Management 27, no. 2 (2022): 36–43. http://dx.doi.org/10.24193/rm.2022.2.6.

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Three-phase asynchronous motors (are aslo called induction motors) are rugged, robust, and an integral part of many applications for most industries worldwide. The general type of the three-phase asynchronous motor, mostly used in industry, is the squirrel cage. The method introduced into this paper is called direct torque control (DTC), which utilizes the characteristic of a motor to produce a quick and robust response in inverters. The entire motor system is analyzed and simulated by Matlab and Simulink toolbox, where the PID direct torque controlled to approach is applied. Our main contributes to this paper is to compare the performance of induction motor, including three scenarios: without load, negative load and positive load by using PID direct torque control method. The simulation results show the effective of proposed control of induction motor with three scenarios.
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33

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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34

Reyes Severiano, Yesenia, Jesús Aguayo Alquicira, Susana Estefany De León Aldaco, and Luis Mauricio Carrillo Santos. "Comparative analysis of PD-PWM technique in the set: Multilevel Inverter-Induction motor." Ingeniería Investigación y Tecnología 21, no. 1 (January 1, 2020): 1–8. http://dx.doi.org/10.22201/fi.25940732e.2020.21n1.007.

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Currently, induction motors are widely used in industry because have a high potential for the efficiency improvement. Therefore, a topic of interest to the industry is to reduce the energy consumption of induction motors, as they represent almost half of the total electrical energy consumption in the world. The energy consumption of electric motors can be reduced by using motors that are more efficient and by using power converters to feed the motors, thereby enabling accurate control according to the load. The function of the power converter is to modify the intrinsic characteristics of the induction motor (speed and torque). There are different topologies of the power converter commonly called inverter for induction motors. An inverter requires a modulation strategy for its operation, there are several modulation strategies that are used in the induction converter-motor assembly. This paper presents the comparative analysis of the influence of the phase disposition modulation (PD-PWM) strategy with different modulation indices, on parameters related to the output signal of a seven-level cascaded multilevel inverter as well as on the nominal working conditions of a three-phase induction motor.
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35

Seron, María, Mónica Romero, and José De Doná. "Sensor Fault Tolerant Control of Induction Motors." IFAC Proceedings Volumes 41, no. 2 (2008): 1230–35. http://dx.doi.org/10.3182/20080706-5-kr-1001.00212.

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36

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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37

Esch, J. "Prolog to sensorless control of induction motors." Proceedings of the IEEE 90, no. 8 (August 2002): 1358. http://dx.doi.org/10.1109/jproc.2002.800723.

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38

Yang Xia, Xinghuo Yu, and W. Oghanna. "Adaptive robust fast control for induction motors." IEEE Transactions on Industrial Electronics 47, no. 4 (2000): 854–62. http://dx.doi.org/10.1109/41.857965.

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39

Utkin, V., Changxi Jin, and Zhang Yan. "Sensorless sliding-mode control of induction motors." IEEE Transactions on Industrial Electronics 47, no. 6 (2000): 1286–97. http://dx.doi.org/10.1109/41.887957.

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40

Gokdere, L. U., M. A. Simaan, and C. W. Brice. "Passivity-based control of saturated induction motors." IEEE Transactions on Industrial Electronics 48, no. 4 (2001): 870–72. http://dx.doi.org/10.1109/41.937423.

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41

Molina, John Jairo Martinez, and José Miguel Ramirez Scarpetta. "OPTIMAL U/f CONTROL FOR INDUCTION MOTORS." IFAC Proceedings Volumes 35, no. 1 (2002): 329–33. http://dx.doi.org/10.3182/20020721-6-es-1901.01206.

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42

Shanmugasundaram, A., and M. Rangasamy. "Control of compensation in linear induction motors." IEE Proceedings B Electric Power Applications 135, no. 1 (1988): 22. http://dx.doi.org/10.1049/ip-b.1988.0004.

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43

Lock, K. S. "Thyristor Control of Shaded-Pole Induction Motors." Electric Machines & Power Systems 13, no. 3 (January 1987): 185–93. http://dx.doi.org/10.1080/07313568708909234.

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44

Martin, Philippe, and Pierre Rouchon. "Flatness and Sampling Control of Induction Motors." IFAC Proceedings Volumes 29, no. 1 (June 1996): 2786–91. http://dx.doi.org/10.1016/s1474-6670(17)58098-2.

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45

Feemster, M., P. Vedagarbha, D. Haste, and D. M. Dawson. "Adaptive output-feedback control of induction motors." International Journal of Systems Science 31, no. 10 (January 2000): 1195–208. http://dx.doi.org/10.1080/00207720050165708.

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46

Canudas, C., R. Ortega, and S. I. Seleme. "Nonlinear Torque Tracking Control of Induction Motors." IFAC Proceedings Volumes 25, no. 29 (October 1992): 171–75. http://dx.doi.org/10.1016/s1474-6670(17)50562-5.

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47

Sidani, Maher, Fouad Mrad, and Farid Chaaban. "Adaptive Direct Torque Control of Induction Motors." Electric Power Components and Systems 36, no. 7 (June 17, 2008): 696–718. http://dx.doi.org/10.1080/15325000701881951.

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48

Lim, S., and K. Nam. "Loss-minimising control scheme for induction motors." IEE Proceedings - Electric Power Applications 151, no. 4 (2004): 385. http://dx.doi.org/10.1049/ip-epa:20040384.

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49

Yousef, Hasan A., and Manal A. Wahba. "Adaptive fuzzy mimo control of induction motors." Expert Systems with Applications 36, no. 3 (April 2009): 4171–75. http://dx.doi.org/10.1016/j.eswa.2008.04.004.

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50

Djeghali, Nadia, Malek Ghanes, Saïd Djennoune, and Jean-Pierre Barbot. "Sensorless fault tolerant control for induction motors." International Journal of Control, Automation and Systems 11, no. 3 (June 2013): 563–76. http://dx.doi.org/10.1007/s12555-012-9224-z.

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