Academic literature on the topic 'Switched Reluctance Motors'

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Journal articles on the topic "Switched Reluctance Motors"

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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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Dharne, Akash M., and Prof Lata B. Awale. "Analysis of Switched Reluctance Motor Performance with Different Slot Pole Combinations." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2158–64. http://dx.doi.org/10.22214/ijraset.2022.44201.

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Abstract: The Switched Reluctance Motors are getting popularity among different applications like electric vehicles and traction due to their simple construction, lower cost and better efficiency. It also have the advantages of low rotor inertia, small size, high pickup, effective and easy cooling etc. Due to its simple structure, switch reluctance motors are mainly used in electric vehicles, vacuum cleaners, washing machines, servo types and variable speed applications. The switch reluctance motor has a rugged structure and is suitable for vibration and high temperature zones. The torque generated by the switch reluctance motor does not depend on the polarity of the phase current. As a result, fewer semiconductor switches are used in power converters. In addition, the losses incurred by SRM motors come only from the stator. Therefore, it can be easily cooled. In this work, the performance of different slot pole combination of SRM is analysed and compared. The Slot poles combinations taken for Analysis are : 6/4, 8/6 and 12/10. The main parameters on which the performance of SRM is compared are Electromagnetic Torque, Torque Ripple and Inductance in Transient Analysis and Output Torque and Power in Steady State Analysis. It is found that with increasing slot pole combination of SRM, the torque ripple decreases and average torque increases.
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Tariq, Iqra, Raheel Muzzammel, Umar Alqasmi, and Ali Raza. "Artificial Neural Network-Based Control of Switched Reluctance Motor for Torque Ripple Reduction." Mathematical Problems in Engineering 2020 (November 30, 2020): 1–31. http://dx.doi.org/10.1155/2020/9812715.

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Switched reluctance motor is acquiring major attention because of its simple design, economic development, and reduced dependability. These attributes make switched reluctance motors superior to other variable speed machines. The major challenge associated with the development of a switched reluctance motor is its high torque ripple. Torque ripple produces noise and vibration, resulting in degradation of its performance. Various techniques are developed to cope with torque ripples. Practically, there exists not a single mature technique for the minimization of torque ripples in switched reluctance motors. In this research, a switched reluctance motor is modelled and analysed. Its speed and current control are implemented through artificial neural networks. Artificial neural network is found to be a promising technique as compared with other techniques because of its accuracy, reduced complexity, stability, and generalization. The Levenberg–Marquardt algorithm is utilized in artificial neural networks due to its fast and stable convergence for training and testing. It is found from research that artificial neural network-based improved control shows better performance of the switched reluctance motor. Realization of this technique is further validated from its mean square error analysis. Operating parameters of the switched reluctance motor are improved significantly. Simulation environment is created in Matlab/Simulink.
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Verma, Toran, and Shivani Agarwal. "C-Dump Converter employed with Switched Reluctance Motor." Journal of Futuristic Sciences and Applications 5, no. 1 (2022): 77–85. http://dx.doi.org/10.51976/jfsa.512211.

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Switched reluctance motors are among the finest competitors to induction motors. It is a well-liked choice because of its durability, brevity, straightforward design, and superior torque to mass ratio. This page talks about the C-dump converter's design. The C-Dump converter makes it possible for the phase winding to be rapidly demagnetized and magnetized, which prevents the motor from being used in the generating state. Currents in the stator winding of a switching reluctance motor have a direct impact on the torque generated. A large negative voltage must be offered in order to quickly stop the current while it is working in the demagnetizing phase. This paper analyzes the C-dump converter's design. The C-Dump converter makes it possible for the phase winding to be rapidly demagnetized and magnetized, which prevents the motor from being used in the generating state. Switched reluctance motors demonstrate a variety of converter topologies for adjusting speed, power, and operation. Additionally, it frequently makes use of the energy that has accumulated in the phase winding and can be returned to the source. Some modified C-Dump converter topologies can utilize this stored energy to bypass the motor's next phase winding.
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Chan, C. C. "Single-phase switched reluctance motors." IEE Proceedings B Electric Power Applications 134, no. 1 (1987): 53. http://dx.doi.org/10.1049/ip-b.1987.0007.

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Rabinovici, R. "Scaling of switched reluctance motors." IEE Proceedings - Electric Power Applications 142, no. 1 (1995): 1. http://dx.doi.org/10.1049/ip-epa:19951487.

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Dirba, J., L. Lavrinovicha, and R. Dobriyan. "Prospects for Use of Synchronous Reluctance Motors in Low-Power Electrical Devices." Latvian Journal of Physics and Technical Sciences 52, no. 2 (April 1, 2015): 40–48. http://dx.doi.org/10.1515/lpts-2015-0010.

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Abstract This paper focuses on studying the synchronous reluctance motors as an alternative to low-power commutator motors. Analysis is done for the improved design of synchronous reluctance motor with a segmental external rotor. Relevant equations and a suitable method are proposed for calculating characteristics of the synchronous reluctance motors operating in a specific mode with electronic commutation as switched reluctance motors. It is concluded that synchronous reluctance motors in this mode can provide a wide range of characteristics and are quite competitive with commutator motors used in low-power devices.
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Tiwari, Rajesh, and K. Rama Krishna. "Simulink modelling of C-Dump Converter employed in Switched Reluctance Motor." Journal of Futuristic Sciences and Applications 4, no. 1 (2021): 28–35. http://dx.doi.org/10.51976/jfsa.412105.

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Switched reluctance motors are among the finest competitors to induction motors. It is a well-liked choice because of its durability, brevity, straightforward design, and superior torque to mass ratio. Currents in the stator winding of a switching reluctance motor have a direct impact on the torque generated. A large negative voltage must be offered in order to quickly stop the current while it is working in the demagnetizing phase. This research work analyzes the C-dump converter’s design. The C-Dump converter makes it possible for the phase winding to be rapidly demagnetized and magnetised, which prevents the motor from being used in the generating state. Switched reluctance motors demonstrate a variety of converter topologies for adjusting speed, power, and operation. Additionally, it frequently makes use of the energy that has accumulated in the phase winding and can be returned to the source. Some modified C-Dump converter topologies can utilise this stored energy to bypass the motor’s next phase winding.
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Wang, Zhi Gang, Ping Tan, and Sui Chun Qu. "Analysis of Main Dimensions Effects on Performance of Transverse Flux Switched Reluctance Motors." Advanced Materials Research 383-390 (November 2011): 1921–25. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1921.

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The transverse flux switched reluctance motor (TFSRM) has the advantage of switched reluctance motors and transverse flux motor. This paper examines the effects of the main dimensions such as the polar distance, the stator core, the length of air gap ,etc, on the performance.
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Bieńkowski, Krzysztof, Sebastian Łapczyński, Michał Szulborski, Łukasz Kozarek, Karol Gołota, Hubert Cichecki, Łukasz Kolimas, et al. "Validated Analytical Model of 8/6 and 10/8 Switched Reluctance Motors." Energies 15, no. 2 (January 17, 2022): 630. http://dx.doi.org/10.3390/en15020630.

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The aim of this work was to develop a parameterized analytical and FEM (Finite Element Method) model of a switched reluctance motor. The developed analytical model was used to assess the performance of these types of motors, and is determined to be a tool for comparing and evaluating switched reluctance motors of various designs. The aim of the work was also the systematization of knowledge related to the operation, structure and methods of determining the static electromagnetic torque generated by switched reluctance motors. The FEM model (ANSYS) was, also, made in order to verify physical phenomena occurring during operation of these motors. Four laboratory tests were executed as part of the work prototypes of switched reluctance motors built at Warsaw University of Technology. A parameterized analytical model was developed and implemented in MATLAB. The model operation tests were conducted and as a result, the characteristics describing the dependence of the electromagnetic torque as a function of the current and the position of the rotor were obtained. The model was validated by confronting the analytical calculations supported by FEM simulation results with the measurement results. The usefulness of the results obtained with the use of the procured models was assessed.
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Dissertations / Theses on the topic "Switched Reluctance Motors"

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Kummara, Venkata Guru Raghavendra. "Simulation of Switched Reluctance Motors." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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This project includes the basic principle of the switched reluctance motors, motor topologies, mathematical approach, torque production, electromagnetics, drives, converters and their applications. This part means to help to understand the working principle and properties of SRM,(Switched Reluctance Motors). Some controlling actions of the SRM, such as Current Control and Speed Control, are employed. Simulation results will be discussed at the end and compared with the predefined Simulink Model of the Switched Reluctance Motors.
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Amreiz, Hassan Musa. "Transverse flux switched reluctance motors." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270782.

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El-Kharashi, Eyhab Aly Kamel. "Segmented rotor switched reluctance motors." Thesis, University of Newcastle upon Tyne, 2003. http://hdl.handle.net/10443/3112.

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This thesis introduces and researches the concept of a new form of switched reluctance motor, in which the rotor is made from a series of discrete segments. Single phase machines are initially examined and design rules established. Predictions of air-gap force density are compared with toothed rotor equivalents and it is shown that much greater force densities are theoretically possible with the segmental design. The thesis then proceeds to apply the concepts developed to two different three phase configurations, which show particular advantages. Two demonstrator machines are designed and built, and their method of construction described. Measured static test results are initially presented for each machine and compared with a conventional switched reluctance motor of the same dimensions, revealing both the advantages and disadvantages of the two segmental rotor configurations. Both demonstrator machines are then run as SRM drives, with the current to each phase supplied from an asymmetric half bridge converter. The current and voltage waveforms are monitored, along with measurements of mean torque output. Waveforms are compared with those predicted by simulations and conclusions are drawn regarding the performance of the drive systems. The results of this work clearly demonstrate that segmental rotor SRMs have much greater torque capability than conventional toothed geometries. Of the two demonstrator machines constructed, one has a very high torque per unit loading, but has relatively long end-windings; the other has slightly reduced torque per unit loading but overcomes the problem of long end-windings. Both machines appear to outperform other forms of reluctance motor.
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Motamedi-Sedeh, Ardeshir. "Speed control of switched reluctance motors." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ28241.pdf.

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Lin, Zhengyu. "Advanced control of switched reluctance motors." Thesis, Heriot-Watt University, 2005. http://hdl.handle.net/10399/266.

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Chumacero, Polanco Erik. "Velocity sensorless control switched reluctance motors." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112062/document.

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Dans ce mémoire de thèse, nous présentons la conception, l'analyse de la stabilité, les simulations numériques et aussi les résultats des expérimentes concernant différents contrôleurs de vitesse mécanique du moteur à réluctance variable (MRV).Dans les deux premiers chapitres une brève description de la physique et de la construction du MRV est présenté ainsi que le problème du contrôle d'être abordé, c'est la commande de vitesse sans capteur. Il est aussi présenté l'état de l'art de ce problème et certains des solutions proposées dans d'autres travaux. On propose notre solution et on présente un petit résumé des articles scientifiques qui ont été publiés dans des magazines et des conférences.Dans le chapitre numéro trois est présenté le design du contrôleur adaptatif et sans capteur du MRV. On suppose, dans une première étape que seule la vitesse mécanique est inconnue et la stabilité exponentielle uniforme des erreurs de suivement est obtenue. Dans une deuxième étape, les conditions d'opération sont aggravées et, en plus de la vitesse, les paramètres physiques sont également supposées inconnues, la stabilité asymptotique uniforme est obtenue dans ce cas. L'estimation des paramètres du MRV est garantie grâce à la condition de persistance d'excitation. Cette commande se compose de deux boucles, une boucle interne basée sur un contrôleur de type PI2D qui est particulièrement intéressant parce qu'il est libre de modèle; cette boucle entraîne les variables mécaniques -la position et la vitesse- vers une référence désirée. Une deuxième boucle de contrôle externe prend le courant électrique vers un ' "courant de référence virtuelle" qui est généré sur la base d'une approche de partage de couple. Le contrôleur propose est testé au niveau de simulations numériques qui sont également présentés.Dans le quatrième chapitre, une nouvelle approche de modélisation du MRV est utilisée pour concevoir le contrôleur. Dans ce scénario, on suppose que l'ensemble de l'état et tous les paramètres physiques sont disponibles, cette approche est pensée pour être adapté au contrôleur basé sur observateur, recherche qui est en cours de développement. Le contrôleur est composé de deux boucles, également que celui qui a été mentionné précédemment. Ce contrôleur est sélectionné parce qu'il est approprié pour le contrôle d'équivalence vraie, qui il s'agit de remplacer les «mesures physiques» provenant d'un capteur par les «observations» provenant d'un observateur. La mise en oeuvre numérique est effectuée sur Simulink de Matlab.Enfin, dans le chapitre cinq, les résultats expérimentaux qui ont été effectués pour évaluer la performance des contrôleurs proposés -ce sont les PI2D et adaptatif PI2D pour le modèle simplifie ainsi que le PID pour le nouveau approche de modélisation- sont présentés. Dans la première partie, une brève description de la construction du banc de tests utilisé est présenté ainsi que quelques-unes caractéristiques techniques. Trois différentes profils de vitesse sont imposées à chacun des contrôleurs proposés -ce sont la tangente hyperbolique, la rampe saturée et la référence sinusoïdal- et de bonnes résultats sont obtenus en considérant que la variable contrôlée est la vitesse. Le dernier chapitre correspond aux conclusions de la recherche effectuée ainsi qu'aux travaux futurs
In this thesis dissertation we present the design, stability analysis, numerical simulations and physical experiments of different controllers designed to drive the mechanical velocity of the switched reluctance motor (SRM). In the First and Second Chapters a brief description of the physics and construction of the SRM is presented, as well as the problem of control to be aboard, that is the velocity sensorless control of motors and the state of the art of this problem. The proposed solution is introduced and a summary of the published papers as well as the contribution are also presented.In the Chapter number three is presented the velocity sensorless and adaptive control of the SRM. It is assumed, in a first stage, that only mechanical velocity is unknown, uniform exponential stability of the errors is achieved in this scenario. In a second stage, conditions are stressed and in addition to the velocity, physical parameters are also assumed unknown, uniform asymptotical stability is achieved in this case and parameters estimation is guaranteed under a persistence of excitation condition. This controller consists of two loops, an internal loop based on a PI2D–type controller which is of particular interest given it is free-model; this loop drives the mechanical variables –that is position and velocity- towards a desired reference. An external control loop takes the electrical current towards a ‘’virtual” current reference which is generated based on a torque share approach. The controller is tested on numerical simulations, which are also presented.In the fourth chapter, a new approach on the modeling of the SRM is utilized to design the controller, in this scenario is assumed that the whole state and all the physical parameters are available, however this approach is thought to be suitable to observer based controller, whose ongoing research is being performed. The controller is composed by two loops, similarly to the one mentioned previously. This controller is selected because it is suitable for certainty equivalence control, that is, to substitute the “measurements” by the “observations” coming from a virtual sensor. Numerical implementation is performed on Simulink of Matlab.Finally, in the Chapter five, the experimental results carried out to evaluate the performance of the proposed controllers are presented, these are the PI2D and the adaptive PI2D controllers for the simplified model and the $PID$ controller for the novel modeling approach. In the first part, a brief description of the construction of the utilized bench is presented as well as the some technical characteristics. Three different velocity profiles were imposed to each of the overmentioned controllers –these are the so called smooth step, the saturated ramp and the sinusoidal reference- and good results, considering that the controlled variable is the velocity, were obtained. The last chapter corresponds to the conclusions of the performed research as well as to the future work
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Sakurai, Atsuhiko. "Sliding mode control of switched reluctance motors." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63026.pdf.

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Shaikh, Abdulbasad Abdulkader. "Computer aided design of switched reluctance motors." Thesis, Imperial College London, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325101.

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Kjaer, Philip Carne. "High-performance control of switched reluctance motors." Thesis, University of Glasgow, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362954.

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Pollock, Charles. "Power converter circuits for switched reluctance motors." Thesis, Heriot-Watt University, 1989. http://hdl.handle.net/10399/844.

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Books on the topic "Switched Reluctance Motors"

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Switched reluctance motors and their control. Hillsboro, OH: Magna Physics Pub., 1993.

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Vonhof, Eberhard. Two phase switched reluctance motors for low voltage applications. Dublin: University College Dublin, 1996.

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Switched reluctance motor drives: Modeling, simulation, analysis, design, and applications. Boca Raton, Fla: CRC Press, 2001.

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Sakurai, Atsuhiko. Sliding mode control of switched reluctance motors. Ottawa: National Library of Canada, 2001.

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Salo, Jussi. Design and analysis of a transversal-flux switched-reluctance-linear-machine pole-pair. Lappeenranta, Finland: Lappeenranta University of Technology, 1999.

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Michaelides, Alexandros M. The design of switched reluctance motors for efficient energy conversion. [s.l.]: typescript, 1994.

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Stephenson, J. M. Switched reluctance drives: Presented October 12 at the 1990 IEEE Industry Applications Society conference, 25th IAS Annual Meeting, Seattle, WA. [Seattle, Wash.]: IEEE Industry Applications Society, 1990.

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Zhu, Yueying. The Key Technologies for Powertrain System of Intelligent Vehicles Based on Switched Reluctance Motors. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4851-9.

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Bilgin, Berker, James Weisheng Jiang, and Ali Emadi, eds. Switched Reluctance Motor Drives. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018.: CRC Press, 2019. http://dx.doi.org/10.1201/9780203729991.

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Elmas, Çetin. A position sensorless operation of a switched reluctance motor drive based on a non-linear observer. Birmingham: University of Birmingham, 1993.

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Book chapters on the topic "Switched Reluctance Motors"

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Ehsani, Mehrdad, and Iqbal Husain. "Switched Reluctance Motors." In Modern Electrical Drives, 333–49. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9387-8_16.

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Ertan, H. Bülent. "Switched Reluctance Motors." In Modern Electrical Drives, 141–95. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9387-8_8.

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Cheok, Adrian David. "Sensorless Control of Switched Reluctance Motors." In Computationally Intelligent Hybrid Systems, 93–124. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9780471683407.ch4.

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Bitchkov, M. G., N. F. Ilinski, and V. A. Sementchuk. "Switched Reluctance Drive for Mass Application." In Energy Efficiency Improvements in Electronic Motors and Drives, 113–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59785-5_11.

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Jalili-Kharaajoo, Mahdi. "Fuzzy Logic Based Torque Ripple Minimization in Switched Reluctance Motors." In Current Topics in Artificial Intelligence, 354–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25945-9_35.

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Avirajamanjula, P., and P. Palanivel. "Development of a Universal Controller for Converter Based Switched Reluctance Motors." In Lecture Notes in Electrical Engineering, 811–18. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2119-7_79.

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Di Barba, Paolo, Maria Evelina Mognaschi, Marek Przybylski, Najmeh Rezaei, Barbara Slusarek, and Slawomir Wiak. "Field-Based Analysis and Optimal Shape Synthesis of Switched Reluctance Motors." In Lecture Notes in Electrical Engineering, 71–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63949-9_5.

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Ge, Baoming, Aníbal T. de Almeida, and Fernando J. T. E. Ferreira. "Torque Control of Switched Reluctance Motors Based on Flexible Neural Network." In Advances in Neural Networks – ISNN 2005, 173–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427469_27.

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Al-Amyal, Fahad, and László Számel. "Analytical Approach for the Turn-Off Angle in Switched Reluctance Motors." In Proceedings of Sixth International Congress on Information and Communication Technology, 685–96. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2102-4_62.

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Hung, Bui Duc, Dinh Bui Minh, and Vuong Dang Quoc. "Electromagnetic Torque and Force Analysis of Switched Reluctance Motors with Different Rotor Pole Shapes." In Advances in Engineering Research and Application, 495–504. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22200-9_55.

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Conference papers on the topic "Switched Reluctance Motors"

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Adams, Robert, Jinjiang Xiao, Michael Cross, and Max Deffenbaugh. "Switched Reluctance Motor for Electric Submersible Pump." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204720-ms.

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Abstract Switched reluctance motors may be advantageous when used as the primary motor for an electric submersible pump system. They are less susceptible to jamming failures due to their high starting torque and ability to reverse direction. Driving these motors requires well-timed pulse waveforms and precise control of the motor based on its rotational position. It is demonstrated that the pulses required to drive switched reluctance motors can still be applied over along cable lengths. Additionally, the current at the surface can be used to monitor and control the operation of the motor downhole, even with long cable lengths separating the surface power source and downhole motor.
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Mathis, Allen, and D. Dane Quinn. "Linearized Electromagnetic and Vibration Modeling of Switched Reluctance Motors." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47947.

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Switched reluctance (SR) motors are becoming more and more prominent in both industry and academia due to their simple design characteristics and flexibility [3]. However, the pulsating nature of the torque in this kind of motor tends to generate unwanted accoustical noise and large, undesirable vibrations [2]. Many researchers have conducted complex experimental and finite-element studies to determine the sources of these vibrations, but comparatively little work has been done to analytically model these phenomena using first principles [2] [8] [3]. The goal of this paper then is to derive an anlytical model for the vibrations of an SR motor, and to predict the frequency response of a particular motor configuration. These results will help guide future work to reduce vibrations in these motors, therby making them more industrially viable.
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Aamoud, A., A. Naitali, and A. Hammouch. "Online characterization of switched reluctance motors." In 2016 International Conference on Electrical and Information Technologies (ICEIT). IEEE, 2016. http://dx.doi.org/10.1109/eitech.2016.7519638.

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Naderi Samani, Omid, and Babak Ganji. "Noise reduction of switched reluctance motors." In 2017 8th Power Electronics, Drive Systems & Technologies Conference (PEDSTC). IEEE, 2017. http://dx.doi.org/10.1109/pedstc.2017.7910341.

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Lovatt, H. C. "Optimum excitation of switched reluctance motors." In Eighth International Conference on Electrical Machines and Drives. IEE, 1997. http://dx.doi.org/10.1049/cp:19971098.

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Queval, Loic, Lionel Vido, Alain Coty, and Bernard Multon. "Photovoltaic motors review, comparison and switched reluctance motor prototype." In 2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER). IEEE, 2015. http://dx.doi.org/10.1109/ever.2015.7113028.

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Sengor, Ibrahim, Abdullah Polat, and Lale T. Ergene. "Design and analysis of switched reluctance motors." In 2013 8th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2013. http://dx.doi.org/10.1109/eleco.2013.6713902.

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Lovatt, Howard C. "Power converter rating for switched reluctance motors." In 2014 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2014. http://dx.doi.org/10.1109/ecce.2014.6953575.

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Chunyan, Ma, and Chen Yan. "Fuzzy Control of Switched Reluctance Planar Motors." In 2010 Second Global Congress on Intelligent Systems (GCIS). IEEE, 2010. http://dx.doi.org/10.1109/gcis.2010.217.

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Moehle, Nicholas, and Stephen Boyd. "Optimal current waveforms for switched-reluctance motors." In 2016 IEEE Conference on Control Applications (CCA). IEEE, 2016. http://dx.doi.org/10.1109/cca.2016.7587958.

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Reports on the topic "Switched Reluctance Motors"

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Schupbach, Roberto M., Shyam S. Ramamurthy, and Juan C. Balda. Modeling Switched Reluctance Motors under Multi-Phase Excitation, Part 1. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada379235.

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Hall, Edilberto M., Shyam S. Ramamurthy, and Juan C. Balda. An Enhanced Simple Method for Designing Switched Reluctance Motors Under Multi-Phase Excitation. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada378667.

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Wheeler, Grant, and Michael Deru. Evaluation of High Rotor Pole Switched Reluctance Motors to Control Condenser Fans in a Commercial Refrigeration System. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1525771.

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Carlos, Juan, and Terry W. Martin. Design of a Switched-Reluctance Motor Drive for Electric Propulsion. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada363184.

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Ramamurthy, Shyam S., and Juan Carolos Balda. Final Report - Part 1: Aspects of Switched Reluctance Motor Drive Application for Electric Vehicle Propulsion. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada398311.

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Zhong Ze, Zhen, Terry W. Martin, and Juan C. Balda. Modeling and Nonlinear Control of a Switched Reluctance Motor to Minimize Torque Ripple. Part 3. Fort Belvoir, VA: Defense Technical Information Center, June 2000. http://dx.doi.org/10.21236/ada379419.

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