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

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

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Niasar, Abolfazl Halvaei, Hossein Rahimi Khoei, Mahdi Zolfaghari, and Hassan Moghbeli. "Artificial Neural Network Based Sensorless Vector Control of Induction Motor Drive." Applied Mechanics and Materials 704 (December 2014): 325–28. http://dx.doi.org/10.4028/www.scientific.net/amm.704.325.

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Controlled induction motor drives without mechanical speed sensors at the motor shaft have the attractions of low cost and high reliability. For these speed sensorless AC drive system, it is key to realize speed estimation accurately. This paper describes a Model Reference Adaptive System (MRAS) based scheme using Artificial Neural Network (ANN) for online speed estimation of sensorless vector controlled induction motor drive. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab. Simulation result shows a good performance of speed estimator. Also Performance analysis of speed estimator with the change in resistances of stator is presented. Simulation results show this estimator robust to resistances of stator variations.
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Islam, Md Rashedul, Md Maruful Islam, Md Kamal Hossain, and Pintu Kumar Sadhu. "Performance Analysis of a DTC and SVM Based Field-Orientation Control Induction Motor Drive." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 3 (February 1, 2015): 336. http://dx.doi.org/10.11591/ijpeds.v5.i3.pp336-343.

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<p>This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.</p>
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Abu-Rub, H., D. Stando, and M. P. Kazmierkowski. "Simple speed sensorless DTC-SVM scheme for induction motor drives." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 2 (June 1, 2013): 301–7. http://dx.doi.org/10.2478/bpasts-2013-0028.

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Abstract The paper focuses on the development of a novel DSP based high performance speed sensorless control scheme for PWM voltage source inverter fed induction motor drives. Firstly, two generic torque and flux control methods the Field Oriented Control (FOC) and Direct Torque Control (DTC), are briefly described. For implementation the sensorless scheme DTC with Space Vector Modulation (DTCSVM) has been selected because it eliminates the disadvantages associated with the DTC while keeping the advantages of both FOC and DTC. Secondly, the simple flux vector observer allowing speed sensor elimination is given. The novelty of the presented system lays in combining the DTC-SVM structure with a simple observer for both torque/flux and speed sensorless control. Furthermore, the DTC-SVM structure which operates in speed sensorless and torque control mode is presented. Finally, the description of a 50 kW laboratory drive and experimental results illustrating properties of the system are given.
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Pujar, Jagadish H., and S. F. Kodad. "A Novel Fuzzy Adaptive Speed Estimator for Space Vector Modulated DTFC of AC Drives." Advanced Materials Research 403-408 (November 2011): 4850–58. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4850.

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In this paper a novel sensorless speed control scheme of Induction Motor (IM) by means of Direct Torque Fuzzy Control (DTFC), PI-type fuzzy speed regulator and fuzzy based Model Reference Adaptive Systems (MRAS) speed estimator strategies has been proposed, which seems to be a boom in sensorless speed control schemes of AC drives. Normally, the conventional sensorless speed control performance of IM drive deteriorates at low speed. Hence the attention has been focused to improve the performance of the IM drive at low speed range as well, by implementing fuzzy control strategies. So, this research work describes a novel adaptive fuzzy based speed estimation mechanism which replaces the conventional PI controller used in MRAS adaptation mechanism. The proposed scheme is validated through extensive numerical simulations on MATLAB. The simulated results signify that the proposed control scheme provides satisfactory high dynamic performance and robustness during low speed operations of IM drive compare to conventional sensorless speed estimator of DTFC scheme.
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Kuchar, Martin, Petr Palacky, Petr Simonik, and Jan Strossa. "Self-Tuning Observer for Sensor Fault-Tolerant Control of Induction Motor Drive." Energies 14, no. 9 (April 29, 2021): 2564. http://dx.doi.org/10.3390/en14092564.

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This paper introduces a new solution for the speed and current sensor fault-tolerant direct field-oriented control of induction motor drives. Two self-adjusting observers derived from a modified current-based model reference adaptive system (CB-MRAS) are presented. Finally, the recursive least squares method was used to estimate the parameters of the used observers. The method, in the proposed solution, provides a very fast and accurate finding of the observer parameters while maintaining relative simplicity and ease of implementation. The presented algorithm eliminates the CB-MRAS observer dependence on the induction motor parameters and also compensates for the inaccuracies in the evaluation of the stator voltage vector. The proposed fault-tolerant control offers the drive operation while either a speed sensor or one/two current sensors fault occurs. The drive still works with the direct field-oriented control even when no current sensors are healthy. The proposed scheme was simulated in the MATLAB/Simulink software environment. Then the algorithm was implemented in a floating-point digital signal controller (DSC) TMS320F28335 and tested on an induction motor drive prototype of rated power of 2.2 kW to validate the proposed schemes.
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Kazmierkowski, M. P., and W. Sulkowski. "A novel vector control scheme for transistor PWM inverter-fed induction motor drive." IEEE Transactions on Industrial Electronics 38, no. 1 (1991): 41–47. http://dx.doi.org/10.1109/41.103482.

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Yang, Li Yong, and Liu Shuo. "Parameter Tuning for Sensorless Induction-Motor Drive Use Stator-Current-Based MRAS Estimator." Advanced Materials Research 383-390 (November 2011): 352–57. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.352.

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This paper proposes an analysis of the vector-controlled induction-motor (IM) drive with a novel modelreference adaptive system (MRAS)-type rotor speed estimator .In this scheme which stator-current-error-based MRAS is used instead of the rotor-flux-error-based MRAS scheme,an stator-current-error-based MRAS is used for estimate the IM rotor speed ,and this is used as feedback signals for the indirect field oriented control technique (IFOC),which is a widely used control method for Induction Motor drive (IM). For improving the dynamic characteristic of the system, it is very improtant for vector control to proceed parameter tuning.Some experimental results based on TMS 320F2812 DSP are provided to verify the proposed system performance in a low speed at no-load and load conditions.
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Elkholi, Olwi A., Mohamed A. Enany, Ahmed F. Abdo, and Mahmoud Eid. "Novel approach for SVPWM of two-level inverter fed induction motor drive." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (December 1, 2020): 1750. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp1750-1758.

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<p class="Abstract">Due to their better DC bus utilization and easier digital realization, Space Vector Pulse Width Modulation (SVPWM) scheme is the most widely used PWM scheme. Also two level inverter is the traditional frequency converter because it has fewer components and is lower complex to control, but on the other hand it generates higher harmonic distortion. This paper presents the realization of novel SVPWM approaches applied to the three phase induction motor drives. Specifically various schemes are based on using more combinations of step operation in each cycle to approximate the reference vector, such as 24 and 48 step operations in each cycle. The basic principle of conventional SVPWM with different modulation index M is presented. The switching sequences of new approaches are described. The modulation signals waveforms, DC bus voltage utilization, De-rated motor torque, standard error of average torque, voltage and current harmonic of new approaches are analyzed by the MATLAB/SIMULINK software. The results confirms that 48 step SVPWM approach is the best compared to other approaches.</p>
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Kung, Ying-Shieh, Seng-Chi Chen, Jin-Mu Lin, and Tsung-Chun Tseng. "FPGA-realization of a speed control IC for induction motor drive." Engineering Computations 33, no. 6 (August 1, 2016): 1835–52. http://dx.doi.org/10.1108/ec-08-2015-0260.

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Purpose – The purpose of this paper is to integrate the function of a speed controller for induction motor (IM) drive, such as the speed PI controller, the current vector controller, the slip speed estimator, the space vector pulse width modulation scheme, the quadrature encoder pulse, and analog to digital converter interface circuit, etc. into one field programmable gate array (FPGA). Design/methodology/approach – First, the mathematical modeling of an IM drive, the field-oriented control algorithm, and PI controller are derived. Second, the very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the algorithms above. Third, based on electronic design automation simulator link, a co-simulation work constructed by ModelSim and Simulink is applied to verify the proposed VHDL code for the speed controller intellectual properties (IP). Finally, the developed VHDL code will be downloaded to the FPGA for further control the IM drive. Findings – In realization aspect, it only needs 5,590 LEs, 196,608 RAM bits, and 14 embedded 9-bit multipliers in FPGA to build up a speed control IP. In computational power aspect, the operation time to complete the computation of the PI controller, the slip speed estimator, the current vector controller are only 0.28 μs, 0.72 μs, and 0.96 μs, respectively. Practical implications – Fast computation in FPGA can speed up the speed response of IM drive system to increase the running performance. Originality/value – This is the first time to realize all the function of a speed controller for IM drive within one FPGA.
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Nouira El Badsi, Imen, Bassem El Badsi, and Ahmed Masmoudi. "DTC strategies for three-switch three-phase inverter-fed induction motor drives." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 6 (November 5, 2018): 2176–94. http://dx.doi.org/10.1108/compel-01-2018-0009.

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PurposeThis paper aims to investigate the performance of two novel direct torque control (DTC) schemes dedicated to three-switch three-phase inverter (B3-VSI), also called delta inverter, fed induction motor (IM) drives.Design/methodology/approachThe principle of operation of the B3-VSI-fed IM drive is recalled in a first step. Then, the basis of both proposed DTC strategies is presented. The first DTC scheme considers a subdivision of the stationary plane into three sectors and the application of the intrinsic as well as virtual voltage vectors to achieve the control combinations. While, the second DTC scheme considers a subdivision of the stationary plane into six sectors and a limitation of the voltage vectors incorporated in the look-up table to the three intrinsic ones.FindingsSimulation and experimental results have revealed that, under steady-state operation and transient conditions, the harmonic content of the IM stator phase currents is lower in the case of the DTC2 strategy, resulting in a lower ripple of electromagnetic torque. Furthermore, it has led to a quasi-circular shape of the locus described by the stator flux vector in the stationary plane.Research limitations/implicationsThis work should be extended to the synthesis and performance analysis of a new DTC strategy for B3-VSI-fed IM drive, which emulates the operation of the conventional six-switch three-phase inverter-fed IM drive.Originality/valueThe limitation associated with the reduced number of the intrinsic voltage vectors generated by the B3-VSI has been eradicated, thanks to the suitable synthesis of the look-up table incorporated in the DTC scheme.
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Dissertations / Theses on the topic "Induction motor drive; Vector control scheme"

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

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Bharadwaj, Aravind S. "Vector controlled induction motor drive systems." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06062008-172143/.

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Acar, Akin. "Implementation Of A Vector Controlled Induction Motor Drive." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/1219286/index.pdf.

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High dynamic performance, which is obtained from dc motors, became achievable from induction motors with the recent advances in power semiconductors, digital signal processors and development in control techniques. By using field oriented control, torque and flux of the induction motors can be controlled independently as in dc motors. The control performance of field oriented induction motor drive greatly depends on the correct stator flux estimation. In this thesis voltage model is used for the flux estimation. Stator winding resistance is used in the voltage model. Also leakage inductance, mutual inductance and referred rotor resistance values are used in vector control calculations. Motor control algorithms use motor models, which depend on motor parameters, so motor parameters should be measured accurately. Induction motor parameters may be measured by conventional no load and locked rotor test. However, an intelligent induction motor drive should be capable of identifying motor parameters itself. In this study parameter estimation algorithms are implemented and motor parameters are calculated. Then these parameters are used and rotor flux oriented vector control is implemented. Test results are presented.
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Kelly, John William. "A novel control scheme for a pole-changing induction motor drive." Diss., Connect to online resource - MSU authorized users, 2007.

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Thesis (Ph. D.)--Michigan State University. Dept. of Electrical Engineering, 2007.
Title from PDF t.p. (viewed on Apr. 16, 2009) Includes bibliographical references (p. 113-114). Also issued in print.
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Ertek, Talip Murat. "Speed Estimation Techniques For Sensorless Vector Controlled Induction Motor Drive." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606863/index.pdf.

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This work focuses on speed estimation techniques for sensorless closed-loop speed control of an induction machine based on direct field-oriented control technique. Details of theories behind the algorithms are stated and their performances are verified by the help of simulations and experiments. The field-oriented control as the vector control technique is mainly implemented in two ways: indirect field oriented control and direct field oriented control. The field to be oriented may be rotor, stator, or airgap flux-linkage. In the indirect field-oriented control no flux estimation exists. The angular slip velocity estimation based on the measured or estimated rotor speed is required, to compute the synchronous speed of the motor. In the direct field oriented control the synchronous speed is computed with the aid of a flux estimator. Field Oriented Control is based on projections which transform a three phase time and speed dependent system into a two co-ordinate time invariant system. These projections lead to a structure similar to that of a DC machine control. The flux observer used has an adaptive structure which makes use of both the voltage model and the current model of the machine. The rotor speed is estimated via Kalman filter technique which has a recursive state estimation feature. The flux angle estimated by flux observer is processed taking the angular slip velocity into account for speed estimation. For closed-loop speed control of system, torque, flux and speed producing control loops are tuned by the help of PI regulators. The performance of the closed-loop speed control is investigated by simulations and experiments. TMS320F2812 DSP controller card and the Embedded Target for the TI C2000 DSP tool of Matlab are utilized for the real-time experiments.
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Kanekal, Ramesh V. "Modeling, simulation and analysis of an indirect vector controlled induction motor drive." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/76443.

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Vector control technique is being widely used in ac motors drives for precise dynamic control of torque, speed and position. The application of vector control scheme to the induction motor drive and the complete modeling, analysis and simulation of the drive system are presented in this thesis. State space models of the motor and the speed controller and the real time models of the inverter switches and the vector controller are integrated to model the drive. Performance differences due to the use of PWM and hysteresis current controllers are examined. Simulation results of the torque and speed drive systems are given. The drive system is linearised around an operating point and the small signal response is evaluated.
Master of Science
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Gulec, Mustafa Alpertunga. "Vector Controlled Elevator Drive." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607186/index.pdf.

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In this thesis, a practical vector controlled elevator drive is presented. Indirect vector control of induction machine is investigated in theory and then implemented. Control technique is compared with scalar control and induction machine is compared with dc motor. The operation of the system depends on induction machine parameters, so how to accurately and automatically obtaining of the parameters is also presented. Finally, the elevator system is introduced, the application of this control system to the elevator system is described and a basic elevator control system is simulated.
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Herwald, Marc A. "Control Design and Analysis of an Advanced Induction Motor Electric Vehicle Drive." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/32934.

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This thesis is about the development and performance enhancement of an induction motor electric vehicle drive system. The fundamental operation of the induction motor drive hardware and control software are introduced, and the different modulation techniques tested are described. A software simulation package is developed to assist in the control design and analysis of the drive system. Next, to establish the efficiency gains obtained by using space vector modulation in the improved drive system, an inverter with hysteresis current control is compared to the same inverter with space vector modulation in steady state and on separate driving profiles. A method for determining induction motor harmonic losses is introduced and is based on obtaining the phase current harmonics from sampled induction motor stator phase currents obtained. Using a semi-empirical loss model, the induction motor losses are compared between different pulse width modulation control strategies throughout the torque versus speed operating region. Next, several issues related to the robustness of the control design are addressed. To obtain good performance in the actual vehicle, a new method for driveline resonance compensation is developed and proven to work well through simulation and experiment. Lastly, this thesis discusses the development of a new method to compensate for the gain and phase error obtained in the feedback of the d-axis and q-axis stator flux linkages. Improved accuracy of the measured stator flux linkages will be shown to improve the field oriented controller by obtaining a more accurate measurement of the feedback electromagnetic torque.
Master of Science
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Trinkūnaitė, Ingrida. "Asinchroninės bejutiklės pavaros modeliavimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110621_170245-16691.

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Baigiamajame darbe sudarytas uždarosios asinchroninės bejutiklės vektoriškai valdomos pavaros imitacinis modelis ir ištirtos charakteristikos. Teorinėje darbo dalyje yra aptariami asinchroninių elektros pavarų privalumai bei šiose pavarose naudojami greičio jutikliai. Aprašomi stebiklių privalumai bei trūkumai, pagrindžiamas jų naudojimas asinchroninėse pavarose. Nagrinėjami bejutiklių elektros pavarų ypatumai, aprašomi vektorinio valdymo bendrieji principai bei aprašomi bejutiklėse vektoriškai valdomose pavarose naudojamų stebiklių modeliai. Pateikiami du skirtingi asinchroninių variklių matematiniai modeliai. Tiriamojoje dalyje parenkamas asinchroninio variklio modelis, tiriant abiejų imitacinių modelių dinamines greičio charakteristikas. Sudaromas stebiklio imitacinis modelis. Tiriamos stebiklio greičio dinaminės charakteristikos, sudaroma uždaroji greičio reguliavimo sistema su stebikliu. Analizuojamos uždarosios greičio reguliavimo sistemos greičio charakteristikos be apkrovos, su šuoline apkrova ir harmoniškai kintančia apkrova. Nagrinėjama sistemos stiprinimo koeficiento įtaka uždarosios greičio reguliavimo sistemos greičio charakteristikų pereinamiesiams procesams. Magistro darbas baigiamas tyrimo išvadomis, kuriose aptariamas darbo rezultatų realaus pritaikymo galimybės. Darbą sudaro 8 dalys: įvadas, žymėjimai, literatūros šaltinių analizė, tyrimo tikslas ir uždaviniai, teorinė dalis, tiriamoji dalis išvados ir pasiūlymai, literatūros šaltiniai.
The final master degree thesis presents sensorless vector controlled induction motor drive simulation model and characteristics. In the analytic part of master thesis advantages of induction motor drives and speed sensors are described. Advantages and disadvantages of speed estimators are presented and purpose of using them are proved. Peculiarities of sensorless motor drives, principles of vector control and models of speed estimators are analyzed. Two simulation models of induction motor are proposed. In the research part characteristics of induction motors are compared and motor model is chosen. Characteristics of open loop induction motor drive are investigated and simulation model of closed loop induction motor drive with speed estimator is designed. Characteristics of closed loop control system at no load, constant load and harmonic load are analyzed and influence of speed controller gain is considered. Thesis is closed with conclusions about designed system application in real projects. Structure: introduction, list of symbols, literature review, the study aims and objectives, the theoretical part, research part, conclusions and proposals, references.
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Chen, Yu-Chung, and 陳宥中. "Sliding Mode Scheme for Sensorless Indirect Vector Control of Induction Motor Drives with Rotor Time Constant Online Tuning." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/tms6g2.

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碩士
崑山科技大學
電機工程研究所
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A speed sensorless system is proposed for indirect vector control of induction motor drive. The synchronous flux angle used in indirect vector control are often sensitive to the motor parameters. In this thesis, a rotor time constant online tuner and a robust to parameters variations sliding mode observer are adopted. The former tuning scheme consists of a magnetic current observer and a rotor time constant observer. The estimated rotor time constant will approach to the actual rotor time constant when the estimated current error approaches zero. The proposed flux observer is based on a sliding mode stator current observer. Rotor flux is merely integrated from the control input of the current observer when the estimated current error approaches zero. In other words, the sliding mode observer is insensitive to motor parameters variations. Then, the aforementioned rotor time constant online tuning scheme and sliding mode rotor flux observer are combined with the sliding mode current controller proposed in [18] and apply to a speed sensorless induction motor drives. First, the proposed control scheme has simulated by MATLAB/Simulink toolbox to verify the feasibility of the proposed strategy. Finally, a PC-based experimental system is constructed to test the performances of the drive system.
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Book chapters on the topic "Induction motor drive; Vector control scheme"

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

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Li, Hua, and Shunyuan Zhou. "Rotor Time Constant Estimation for the Vector Controlled Induction Motor Drive Based on MARS Scheme." In Lecture Notes in Electrical Engineering, 345–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21762-3_45.

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Lane, M., D. Ashari, F. Gu, and A. D. Ball. "Investigation of Motor Current Signature Analysis in Detecting Unbalanced Motor Windings of an Induction Motor with Sensorless Vector Control Drive." In Mechanisms and Machine Science, 801–10. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09918-7_71.

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Muchande, Shrishell, Arvind Kadam, Keerthi Unni, and Sushil Thale. "Design and Implementation of a Direct Torque Control Space Vector Modulated Three Phase Induction Motor Drive." In Communications in Computer and Information Science, 659–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36321-4_61.

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Venu Gopal, B. T., E. G. Shivakumar, and H. R. Ramesh. "An Experimental Setup for Implementation of Fuzzy Logic Control for Indirect Vector-Controlled Induction Motor Drive." In Lecture Notes in Electrical Engineering, 193–203. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4676-1_18.

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Balashanmugham, Adhavan, Maheswaran Mockaisamy, and Sathiyanathan Murugesan. "Torque Ripple Reduction in DTC Induction Motor Drive." In Direct Torque Control Strategies of Electrical Machines [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94225.

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The asynchronous or Induction Motor (IM) is one of the most widely used electrical machines in the world, due to the three following advantages namely 1.Their construction is simple and rugged 2.The absence of slip rings, commutators and brushes make it cheaper, and 3.It is also maintenance free compared to DC motors and Synchronous motor due to wear and tear of brushes, slip rings and commutators respectively. The Section 1 deals with the introduction of induction motor and Direct Torque Control scheme. Section 2 briefly discusses the types of Induction motor. Section 3 tells about the control strategies of Induction motor respectively scalar control and vector control, and also briefly explains about Direct Torque Control (DTC) method. The Section 4 discuss about the Types of Control Strategies for Torque ripple Reductions in DTC as well as the two proposed schemes namely 1.Fuzzy Logic Controller (FLC) for DTC-SVM and 2.Artificial Neural Network (ANN) controller for DTC-SVM respectively for IM and its results, The two proposed schemes uses Hybrid Asymmetric Space Vector Pulse Width Modulation (HASVPWM) for switching the inverter. The Section 5 revels about the modern advanced techniques such as ANN and FLC based DTC.
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Venkobarao, Vivek. "Hybridized Genetic Algorithm Based Machine Parameters Estimation for Direct Torque Control of 3 Phase Motor for Wind Energy Systems." In Advances in Computer and Electrical Engineering, 96–108. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9911-3.ch006.

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It is generally aware that real-time parameter estimation of A.C. induction machine is very important for the efficient operation of vector-controlled drives. However, most existing methods have not taken into account of the four imperfections within the system, i.e. the existence of severe power harmonics due to the PWM inverter drive, the imbalancing of the 3-phase supply from the inverter, the variation of supply frequency under load changing and acceleration/deceleration, and changes in resistance. In this example, we have developed a new method of parameter estimation based on real time data sampling of voltages and currents, no matter they are sinusoidal or not. Here, the assumption of a synchronous rotating speed of the stator flux is not critical. With the aid of hybrid genetic algorithm techniques, the model has been found useful for on-line speed/torque control in most field orientation control schemes as it is much easier to achieve a global minimum during the optimization process.
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Singh, Jogendra, and Rachid Beguenane. "Sensorless Vector Control of Induction Motor Drive - A Model Based Approach." In Electric Machines and Drives. InTech, 2011. http://dx.doi.org/10.5772/14132.

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

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Xia, Jia-kuan, Lu Min, and Kun Liu. "Fuzzy Control Scheme for Vector-controlled Multiphase Induction Motor Drive." In 2010 International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2010. http://dx.doi.org/10.1109/icdma.2010.235.

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Prasad Reddy, M. Rama, T. Bramhananda Reddy, and B. Brahmaiah. "Vector based hysteresis current control scheme for vector controlled induction motor drives." In 2013 15th International Conference on Advanced Computing Technologies (ICACT). IEEE, 2013. http://dx.doi.org/10.1109/icact.2013.6710537.

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Ebrahim, Osama S., and Praveen K. Jain. "NEW sensorless vector control scheme for the induction motor drives." In 2007 IEEE North-East Workshop on Circuits and Systems (NEWCAS 2007). IEEE, 2007. http://dx.doi.org/10.1109/newcas.2007.4487989.

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Azzolin, R. Z., T. A. Bernardes, R. P. Vieira, C. C. Gastaldini, and H. A. Grundling. "Decoupling and sensorless vector control scheme for single-phase induction motor drives." In IECON 2012 - 38th Annual Conference of IEEE Industrial Electronics. IEEE, 2012. http://dx.doi.org/10.1109/iecon.2012.6388716.

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Versele, C., O. Deblecker, and J. Lobry. "Implementation of a vector control scheme using dSPACE material for teaching induction motor drive and parameters identification." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4799951.

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Gao, Hang, Soumitra Das, Bin Wu, Manish Pande, and David Xu. "A space vector modulation based direct torque control scheme for a current source inverter fed induction motor drive." In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2015. http://dx.doi.org/10.1109/iecon.2015.7392281.

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Djagarov, Nikolay, Hristo Milushev, Milen Bonev, Julia Djagarova, and Zhivko Grozdev. "Adaptive Vector Control of Induction Motor Drive." In 2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE). IEEE, 2020. http://dx.doi.org/10.1109/eeae49144.2020.9278995.

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Zaki Diab, A. A., V. V. Vdovin, D. A. Kotin, V. N. Anosov, and V. V. Pankratov. "Cascade model predictive vector control of induction motor drive." In 2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2014. http://dx.doi.org/10.1109/apeie.2014.7040771.

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Diab, Ahmed A. Zaki, and Vladimir V. Pankratov. "Sliding mode control of vector controlled induction motor drive." In 2012 IEEE 11th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2012. http://dx.doi.org/10.1109/apeie.2012.6629085.

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Diab, Ahmed A. Zaki, and Vladimir V. Pankratov. "Sliding mode control of vector controlled induction motor drive." In 2012 IEEE 11th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2012. http://dx.doi.org/10.1109/apeie.2012.6629168.

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