Journal articles on the topic 'Three-phase electrical machine'

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1

Vuddanti, Sandeep, Vinod Karknalli, and Surender Reddy Salkuti. "Design and comparative analysis of three phase, four phase and six phase switched reluctance motor topologies for electrical vehicle propulsion." Bulletin of Electrical Engineering and Informatics 10, no. 3 (June 1, 2021): 1495–504. http://dx.doi.org/10.11591/eei.v10i3.3054.

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Switched reluctance motor (SRM) is attracting the scientific community in recent days because of its special structural benefits. Good research work has been conducted on this machine since the ages. It has evolved as an alternative to the conventional electrical machines in variable speed drives due to rugged architecture, high-speed operation, four quadrants, lack of magnet, and adaptability to harsh surroundings. This paper reviews different topologies of SRM for electric vehicle (EV) application and a comparative study of suitable machines for electric vehicle propulsion. This paper elaborates on the design methodology and the analysis of various phases of operation of SRMs. During the design procedure, the finite element method (FEM) of optimization is used to enhance motor performance. In this study, the three different phase (3, 4 6) motors are analyzed in machine design software and finite element analysis outcomes and SRM simulation approach are discussed.
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2

Fleitas, Ariel, Magno Ayala, Osvaldo González, Larizza Delorme, Carlos Romero, Jorge Rodas, and Raul Gregor. "Winding Design and Efficiency Analysis of a Nine-Phase Induction Machine from a Three-Phase Induction Machine." Machines 10, no. 12 (November 28, 2022): 1124. http://dx.doi.org/10.3390/machines10121124.

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Multiphase machines are a hot research topic in control theory and industrial applications such as electric cars. However, the availability to buy them in the market is limited or null. For this reason, it is common to rewind it from a three-phase commercial machine. In this context, the aim of this paper is two-fold. First, to introduce a straightforward procedure to rewind a nine-phase induction machine from a three-phase one. For that purpose, a study of the three-phase induction motor was performed, which included selecting a new winding design, calculating stator coils, and simulating tests with ANSYS Maxwell software to validate the design. Secondly, a performance analysis comparing the power losses through experimental tests performed to obtain the electrical parameters of both nine-phase and three-phase topologies is presented.
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3

Markovic, Nenad, Jeroslav Zivanic, Zoran Lazarevic, and Bratislav Iricanin. "The mathematical model for analysis and evaluation of the transient process of the three-phase asynchronous machine performance." Serbian Journal of Electrical Engineering 15, no. 3 (2018): 319–37. http://dx.doi.org/10.2298/sjee1803319m.

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This paper describes an adopted method which could be used in transient process modelling of three-phase asynchronous machines on the computer. Converter asynchronous electric machine feeding requires a detailed research of the transient process influence and the dynamic states of energy exchange between the electrical circuit feeding and the machine itself. A mathematical model has been formulated in order to solve the transient process of the three-phase asynchronous electric machine referring to the two asynchronous machines and containing two matrix models defined by Park?s d - q components. In the system of symmetrical components the state and the operation of the first machine was defined based on relations and operation conditions of a direct sequence system and of other machines based on relations and operation conditions of an inverse sequence system. The new method has been derived from the existing psbpwm MATLAB package. The new model simulates the state and operation of a single machine with identical parameters through the state and operation of the two machines with identical parameters: the first in a direct sequence system and the others in an inverse sequence system. Operation analysis of the three-phase induction machine is limited to a transient process occurring in the right angled shape of voltage feeding. The new presented model can, with certain limitations, be applied not only to a three-phase asynchronous machine model but to other alternating current machines which have a stator and a rotor. The experiment has been performed following an example of asymmetrical feeding followed by inverse component phenomena of electrical and mechanical values in the machine.
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Bollen, Math. "Book Review: Three-phase Electrical Machine Systems: Computer Simulation:." International Journal of Electrical Engineering & Education 31, no. 4 (October 1994): 356. http://dx.doi.org/10.1177/002072099403100411.

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5

Wang, C., S. A. Nasar, and I. Boldea. "Three-phase flux reversal machine (FRM)." IEE Proceedings - Electric Power Applications 146, no. 2 (1999): 139. http://dx.doi.org/10.1049/ip-epa:19990114.

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6

Zhu, Ziqiang, Shensheng Wang, Bo Shao, Luocheng Yan, Peilin Xu, and Yuan Ren. "Advances in Dual-Three-Phase Permanent Magnet Synchronous Machines and Control Techniques." Energies 14, no. 22 (November 10, 2021): 7508. http://dx.doi.org/10.3390/en14227508.

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Multiphase electrical machines are advantageous for many industrial applications that require a high power rating, smooth torque, power/torque sharing capability, and fault-tolerant capability, compared with conventional single three-phase electrical machines. Consequently, a significant number of studies of multiphase machines has been published in recent years. This paper presents an overview of the recent advances in multiphase permanent magnet synchronous machines (PMSMs) and drive control techniques, with a focus on dual-three-phase PMSMs. It includes an extensive overview of the machine topologies, as well as their modelling methods, pulse-width-modulation techniques, field-oriented control, direct torque control, model predictive control, sensorless control, and fault-tolerant control, together with the newest control strategies for suppressing current harmonics and torque ripples, as well as carrier phase shift techniques, all with worked examples.
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7

Graffeo, Federica, Silvio Vaschetto, Alessio Miotto, Fabio Carbone, Alberto Tenconi, and Andrea Cavagnino. "Lumped-Parameters Thermal Network of PM Synchronous Machines for Automotive Brake-by-Wire Systems." Energies 14, no. 18 (September 8, 2021): 5652. http://dx.doi.org/10.3390/en14185652.

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Thermal analysis represents a key factor in electrical machine design due to the impact of temperature increase on insulation lifetime. In this context, there has been a wide investigation on thermal modeling, particularly for machines used in harsh working conditions. In this perspective, brake-by-wire (BBW) systems represent one of the most challenging applications for electrical machines used for automotive smart actuators. Indeed, electro-actuated braking systems are required to repeatedly operate the electric machine in high overload conditions in order to limit the actuator response time, as well as to enhance gravimetric and volumetric specific performance indexes. Moreover, BBW systems often impose unconventional supply conditions to the electric machine, consisting of dc currents in three-phase windings to keep the rotor fixed during the braking intervals. However, a dc supply leads to uneven temperature distributions in the machine, and simplified thermal models may not accurately represent the temperature variations for the different machine parts. Considering such unconventional supply conditions, this paper initially investigates the applicability of a conventional lumped-parameters thermal network (LPTN) based on symmetry assumptions for the heat paths and suitable for surface-mounted PM synchronous machines used in BBW systems. An extensive test campaign consisting of pulses and load cycle tests representative of the real machine operations was conducted on a prototype equipped with several temperature sensors. The comparison between measurements and predicted average temperatures, together with insights on the unbalanced heat distribution under the dc supply obtained by means of finite element analyses (FEA), paved the way for the proposal of a phase-split LPTN with optimized parameters. The paper also includes a critical analysis of the optimized parameters, proposing a simplified, phase-split lumped-parameters thermal model suitable to predict the temperature variations in the different machine parts for PM synchronous electric machines used in BBW systems.
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8

Gutierrez-Reina, Daniel, Federico Barrero, Jose Riveros, Ignacio Gonzalez-Prieto, Sergio Toral, and Mario Duran. "Interest and Applicability of Meta-Heuristic Algorithms in the Electrical Parameter Identification of Multiphase Machines." Energies 12, no. 2 (January 19, 2019): 314. http://dx.doi.org/10.3390/en12020314.

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Multiphase machines are complex multi-variable electro-mechanical systems that are receiving special attention from industry due to their better fault tolerance and power-per-phase splitting characteristics compared with conventional three-phase machines. Their utility and interest are restricted to the definition of high-performance controllers, which strongly depends on the knowledge of the electrical parameters used in the multiphase machine model. This work presents the proof-of-concept of a new method based on particle swarm optimization and standstill time-domain tests. This proposed method is tested to estimate the electrical parameters of a five-phase induction machine. A reduction of the estimation error higher than 2.5% is obtained compared with gradient-based approaches.
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9

Gámez Medina, José Manuel, Jorge de la Torre y Ramos, Francisco Eneldo López Monteagudo, Leticia del Carmen Ríos Rodríguez, Diego Esparza, Jesús Manuel Rivas, Leonel Ruvalcaba Arredondo, and Alejandra Ariadna Romero Moyano. "Power Factor Prediction in Three Phase Electrical Power Systems Using Machine Learning." Sustainability 14, no. 15 (July 25, 2022): 9113. http://dx.doi.org/10.3390/su14159113.

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The power factor in electrical power systems is of paramount importance because of the influence on the economic cost of energy consumption as well as the power quality requested by the grid. Low power factor affects both electrical consumers and suppliers due to an increase in current requirements for the installation, bigger sizing of industrial equipment, bigger conductor wiring that can sustain higher currents, and additional voltage regulators for the equipment. In this work, we present a technique for predicting power factor variations in three phase electrical power systems, using machine learning algorithms. The proposed model was developed and tested in medium voltage installations and was found to be fairly accurate thus representing a cost reduced approach for power quality monitoring. The model can be modified to predict the variation of the power factor, taking into account removable energy sources connected to the grid. This new way of analyzing the behavior of the power factor through prediction has the potential to facilitate decision-making by customers, reduce maintenance costs, reduce the probability of injecting disturbances into the network, and above all affords a reliable model of behavior without the need for real-time monitoring, which represents a potential cost reduction for the consumer.
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10

Stepanov, Anatoly N. "SIMULATION OF THE EXTERNAL MAGNETIC FIELD OF A THREE-PHASE ELECTRICAL MACHINE." Scholarly Notes of Komsomolsk-na-Amure State Technical University 1, no. 7 (September 30, 2011): 13–20. http://dx.doi.org/10.17084/2011.iii-1(7).2.

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11

Boughanmi, W., J. P. Manata, D. Roger, T. Jacq, and F. Streiff. "Life cycle assessment of a three-phase electrical machine in continuous operation." IET Electric Power Applications 6, no. 5 (2012): 277. http://dx.doi.org/10.1049/iet-epa.2011.0219.

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12

Rezk, Hegazy, Asmaa A. Elghany, Mujahed Al-Dhaifallah, Abo Hashema M. El Sayed, and Mohamed N. Ibrahim. "Numerical Estimation and Experimental Verification of Optimal Parameter Identification Based on Modern Optimization of a Three Phase Induction Motor." Mathematics 7, no. 12 (November 21, 2019): 1135. http://dx.doi.org/10.3390/math7121135.

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The parameters of electric machines play a substantial role in the control system which, in turn, has a great impact on machine performance. In this paper, a proposed optimal estimation method for the electrical parameters of induction motors is presented. The proposed method uses the particle swarm optimization (PSO) technique. Further, it also considers the influence of temperature on the stator resistance. A complete experimental setup was constructed to validate the proposed method. The estimated electrical parameters of a 3.8-hp induction motor are compared with the measured values. A heat run test was performed to compare the effect of temperature on the stator resistance based on the proposed estimation method and the experimental measurements at the same conditions. It is shown that acceptable accuracy between the simulated results and the experimental measurements has been achieved.
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13

Wang, Yu, Zhi Quan Deng, and Xiao Lin Wang. "A Novel 12/10 Electrical Excitation Flux-Switching Machine." Advanced Materials Research 383-390 (November 2011): 7306–11. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7306.

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A three phase, electrical excitation flux-switching (EEFS) brushless ac machine is proposed, its electromagnetic performance, viz., the phase flux-linkage and back-EMF waveforms, the torque density, the electromagnetic torque, and the torque-current characteristic, are evaluated based on finite element analysis. An EEFS machine exhibits sinusoidal flux-linkage and back-EMF waveforms. Compared with a hybrid excitation flux-switching (HEFS) machine, when de-excitation at fault is needed, the torque density of EEFS machine is ~20% larger than that of a HEFS machine with the same armature and field current copper loss.
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14

Kang, Ye Gu, Kang Min Lee, and Gilsu Choi. "Rapid Prototyping of Three-Phase AC Machine Drive System with Subtractive and Additive Manufacturing." Energies 16, no. 5 (February 27, 2023): 2266. http://dx.doi.org/10.3390/en16052266.

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We propose a method for rapid prototyping of a three-phase AC drive system for educational purposes. The proposed method allows college students to design and manufacture a drive system comprising three-phase inverters, a permanent-magnet (PM) machine, a controller, and sensors within a semester. The rapid prototyping process, which requires less than a day, enables efficient iteration and testing during the development process. In addition to addressing the electrical design considerations, this study also addresses the mechanical aspects of the drive system, including the use of coreless PM machines fabricated, using additive manufacturing technology, and the inverter manufacturing process, utilizing an auto-milling machine. Finally, we provide details of the rapid prototyping of closed-loop control, based on sensor feedback to regulate the rotating magnetic fields and output torque.
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15

Yu, Hsing-Cheng, Hung-Wei Lai, Li-Jhen Chen, and Cheng-Kai Lin. "Low cogging torque design and simplified model-free predictive current control for radial-flux dual three-phase permanent magnet electric machines." Advances in Mechanical Engineering 11, no. 12 (December 2019): 168781401989164. http://dx.doi.org/10.1177/1687814019891644.

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This study presents two improved designs of eccentric-shaped permanent magnets and teeth-shaped stators in radial-flux dual three-phase permanent magnet electric machines to reduce cogging torque and torque ripple. The finite element analysis (ANSYS Electromagnetics) has been adopted in simulation, and real radial-flux dual three-phase permanent magnet electric machines have been fabricated in experiment to verify the study. Using the radial-flux dual three-phase permanent magnet electric machines in electric machine systems can improve the reliability and obtain higher output torque. In electrical drives and control, a simplified model-free predictive current control method has been proposed and implemented to drive the radial-flux dual three-phase permanent magnet electric machines, and the control law has been achieved by a TMS320F28377S microcontroller of Texas Instruments. The simplified model-free predictive current control method is senseless to parameter variations and back electromotive force of the permanent magnet electric machines, and only needs current sensors to detect six-phase current. The optimal one has been chosen by 14 various switching modes, which has the minimum cost function, and then the converter can be directly driven and controlled in the next sampling period. The features of the simplified model-free predictive current control method can reduce the algorithm calculation and avoid the defect of conventional model-based predictive current control scheme. A proportional-integral speed controller has also been designed to achieve the speed response of the fixed-speed tracking effect. Finally, the feasibility and effectiveness of the proposed simplified model-free predictive current control method for the dual three-phase permanent magnet electric machines can be verified in the experimental and quantitative results.
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16

Shevchenko, Andrei A., Zoya S. Temlyakova, Dmitriy M. Toporkov, and Anton A. Temlyakov. "Automation of the three-phase double-speed asynchronous motor design." Proceedings of the Russian higher school Academy of sciences, no. 3 (October 29, 2021): 52–71. http://dx.doi.org/10.17212/1727-2769-2021-3-52-71.

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The subject of research is double-speed asynchronous motors of the type produced by SPA ELSIB PJSC with two independent windings in the stator designed to drive the main circulating pumps of nuclear power plants as well as similar mechanisms in other sectors of the national economy. The article deals with specific issues of the full cycle of calculating the considered electric ma-chine. We propose a method of research on mutual influence of stator windings when the motor works based on the fundamental positions of the theory of electrical machines using numerical modeling. Also, a method of choosing an air cooler to be used in thermal calculation taking into account the features of the machine type under investigation is proposed. The research purpose is to optimize the full cycle of calculating a new motor of this type under development. This is due to the occurrence of additional heating in one stator winding due to the operation of the other, which increases labor costs caused by the need to take into account an additional heat source during thermal calculation. In addi-tion, the existing empirical dependencies do not fully reflect the entire physical picture of the ongoing processes. The originality of the research lies in the fact that based on the known provisions the algo-rithm for calculating the applied air cooler has been modified due to automation, which contributes to correct protection against thermal overheating effects. It is shown that by numerical modeling it is possible to minimize labor costs for determining the parameters taken into account in the subsequent thermal calculation that arise as a result of the mutual influence of the selected machine type stator windings. The research results are tried out in SPA ELSIB PJSC manufacture and presented by the motor specific example.
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17

Lucas, Guilherme B., Bruno A. de Castro, Marco A. Rocha, and Andre L. Andreoli. "Study of a Low-Cost Piezoelectric Sensor for Three Phase Induction Motor Load Estimation." Proceedings 4, no. 1 (February 11, 2019): 46. http://dx.doi.org/10.3390/ecsa-5-05723.

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Due the complexity of control and automation networks in modern industries, sensor-based systems stand out as effective approaches for failure detection in electrical and mechanical machines. This kind of intervention has a high operational value in industrial scenarios, once it can avoid corrective maintenance stops, i.e., before the failure reaches a high level of severity and compromises the machine. Consequently, the development of sensors applied to non-destructive techniques (NDT) for failure monitoring in electrical machines has become a recurrent theme in recent studies. In this context, this paper investigates the application of low-cost piezoelectric sensors for vibration analysis, which is an NDT that has already proved to be efficient for the detection of many structural anomalies in induction motors. Further, the proposed work presents a low-cost alternative approach for expensive commercial sensors, which will make this NDT more attractive for industrial applications. To describe the piezoelectric sensor frequency response, a pencil lead break (PLB) test was performed. After this validation, the Root Mean Square (RMS) value from the voltage samples obtained in the test bench was used as a signal processing method. A comparison between the results for different levels of mechanical load attached to the machine shaft indicated not only the successful performance of the low-cost sensors for load estimation purposes, but also showed that oversized motors may present higher vibration levels in some components that could cause mechanical wearing.
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18

Sun, Jian, and Lei Xing. "Parameterization of Three-Phase Electric Machine Models for EMI Simulation." IEEE Transactions on Power Electronics 29, no. 1 (January 2014): 36–41. http://dx.doi.org/10.1109/tpel.2013.2264750.

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19

Jacobina, Cursino BrandÃo, Euzeli Cipriano dos Santos, Edison Roberto Cabral da Silva, Mauricio BeltrÃo de Rossiter Correa, Antonio Marcus Nogueira Lima, and Talvanes Meneses Oliveira. "Reduced Switch Count Multiple Three-Phase AC Machine Drive Systems." IEEE Transactions on Power Electronics 23, no. 2 (March 2008): 966–76. http://dx.doi.org/10.1109/tpel.2007.915027.

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20

Bermúdez, Mario, Federico Barrero, Cristina Martín, and Manuel Perales. "Performance Analysis of Direct Torque Controllers in Five-Phase Electrical Drives." Applied Sciences 11, no. 24 (December 16, 2021): 11964. http://dx.doi.org/10.3390/app112411964.

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The industrial application of electric machines has grown in the last decades, thanks to the development of microprocessors and power converters, which have permitted their use as variable-speed drives. Although three-phase machines are the common trend, the interest of the research community has recently focused on machines with more than three phases, known as multiphase machines. The principal reason lies in the exploitation of their advantages in terms of reliability, i.e., post-fault operating capability. Additionally, multiphase machines provide a better current distribution among phases, and lower current harmonic production in the power converter, than conventional three-phase machines. However, multiphase drive applications require the development of complex controllers to regulate the torque (or speed) and flux of the machine. In this regard, direct torque controllers have appeared as a viable alternative due to their easy formulation and high flexibility to incorporate control objectives. However, these controllers face some peculiarities and limitations in their use that require attention. This work aims to tackle direct torque control as a viable alternative for the regulation of multiphase drives. Special attention will be paid to the development of the control technique and the expected benefits and limitations in the obtained results. Case examples based on symmetrical five-phase induction machines with distributed windings in the motoring mode of operation will be used to this end.
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Cablea, Georgia, Pierre Granjon, and Christophe Bérenguer. "Three-phase electrical signals analysis for mechanical faults monitoring in rotating machine systems." Mechanical Systems and Signal Processing 92 (August 2017): 278–92. http://dx.doi.org/10.1016/j.ymssp.2017.01.030.

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22

Staszak, Jan. "Determination of slot leakage inductance for three-phase induction motor winding using an analytical method." Archives of Electrical Engineering 62, no. 4 (December 1, 2013): 569–91. http://dx.doi.org/10.2478/aee-2013-0046.

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Abstract The article introduced some expressions for self- and mutual slot leakage inductance of phase windings for the mathematical model of an induction machine in the natural phase coordinate system and for dq0 model and in an arbitrary coordinate frame. Calculation of self- and mutual slot leakage inductance have been performed for threephase double-layer, delta and delta-modified winding connections. Introduced expressions may be useful in the design of windings and in the analysis of dynamic states of AC electrical machines.
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Lee, Kahyun, Yongsu Han, and Jung-Ik Ha. "Wound Rotor Machine With Single-Phase Stator and Three-Phase Rotor Windings Controlled by Isolated Three-Phase Inverter." IEEE Transactions on Energy Conversion 30, no. 2 (June 2015): 558–68. http://dx.doi.org/10.1109/tec.2015.2394807.

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ÖZÜPAK, Yıldırım. "Design and Analysis of a Synchronous Generator Using Finite Element Method Based ANSYS-Maxwell." International Journal of Engineering and Applied Sciences 14, no. 2 (December 10, 2022): 66–76. http://dx.doi.org/10.24107/ijeas.1163134.

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The most basic electrical machine that converts mechanical energy into electrical energy is synchronous machines. Synchronous machines can be operated at high speeds and low speeds for different power plants. In terms of system planning, it is important to examine the operating characteristics of the machine at idle and variable load conditions in these cycles. It is very important that generators, which are the basic components of turbines in power plants, have high efficiency when they are designed. While synchronous generators are being designed, many parameters that are compatible with each other must be arranged in an appropriate way. The efficiency of generators can vary greatly by changing very important parameters in the design. In this study, the analysis, design and analysis of the characteristic parameters of a synchronous generator are carried out with the ANSYS-Maxwell-Rmxprt integrated design and simulation program based on Finite Element Method (FEM). In this paper, parameters such as efficiency, induced voltage, phase currents and voltages and output torque of a three-phase synchronous machine were obtained depending on the electrical angle change.
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Gong, Jinlin, Benteng Zhao, Youxi Huang, Eric Semail, and Ngac Ky Nguyen. "Quantitative Comparisons of Outer-Rotor Permanent Magnet Machines of Different Structures/Phases for In-Wheel Electrical Vehicle Application." Energies 15, no. 18 (September 13, 2022): 6688. http://dx.doi.org/10.3390/en15186688.

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As one of the key components, low-speed direct-drive in-wheel machines with high compact volume and high torque density are important for the traction system of electric vehicles (EVs). This paper introduces four different types of outer-rotor permanent magnet motors for EVs, including one five-phase SPM machine, one three-phase IPM machine with V-shaped PMs, one seven-phase axial flux machine (AFM) of sandwich structure and finally one hybrid flux (radial and axial) machine with a third rotor with V-shaped PMs added to the AFM. Firstly, the design criteria and basic operation principle are compared and discussed. Then, the key properties are analyzed using the Finite Element Method (FEM). The electromagnetic properties of the four fractional slot tooth concentrated winding in-wheel motors with similar dimensions are quantitatively compared, including air-gap flux density, electromotive force, field weakening capability, torque density, losses, and fault tolerant capability. The results show that the multi-phase motors have high torque density and high fault tolerance and are suitable for direct drive applications in EVs.
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Muteba, Mbika, Adisa A. Jimoh, and Dan V. Nicolae. "Performance Analysis of Induction Machines with Unconventional Winding Configurations." Applied Mechanics and Materials 260-261 (December 2012): 337–41. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.337.

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This paper presents the performance of fractional slots distributed windings (FSDW) and fractional slots concentrated windings (FSCW) of three-phase squirrel cage induction machines. The different windings have been designed and modeled using the same machine physical and electrical parameters. The Finite Element Model (FEM) of the machine for the different windings has been carried out. The results for the machine with FSDW and FSCW are compared to the results of the conventional double layer (CDL) with 8/9 chorded coil.
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Demeianto, Bobby, Riki Peri Ramadani, Iskandar Musa, and Yuniar Endri Priharanto. "ANALISA PEMBEBANAN PADA GENERATOR LISTRIK KAPAL PENANGKAP IKAN STUDI KASUS PADA KM. MARADONA." Aurelia Journal 2, no. 1 (November 27, 2020): 63. http://dx.doi.org/10.15578/aj.v2i1.9425.

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Efficiency value is a measure that can inform us that a machine that operates can be said to be efficient or not. This study aims to find the efficiency value of the electric generator on the fishing vessel KM. Maradona. In addition, this study also aims to find the average percentage value of electric current on each phase of the generator and also to find the average value of the percentage imbalance of load sharing in three-phase electrical installations in KM. Maradona. From the calculation, it is found that the percentage of imbalance of three-phase electrical installations KM. Maradona when the generator operates can reach 31.11%. From the calculation, it is also found that the average percentage load on the electric generator of KM. Maradona maximum value is 22.35% with an average current value of 25.50 Ampere. Directly proportional to the maximum average current value, the maximum electrical power value of KM. Maradona is only at 16.80 kVA with an efficiency value of 22.40%.
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Mini, Youssouf, Ngac Ky Nguyen, and Eric Semail. "Sensorless Control for Non-Sinusoidal Five-Phase Interior PMSM Based on Sliding Mode Observer." European Journal of Electrical Engineering 23, no. 6 (December 31, 2021): 445–54. http://dx.doi.org/10.18280/ejee.230604.

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This paper proposes a sensorless control strategy based on Sliding Mode Observer (SMO) for a Five-phase Interior Permanent Magnet Synchronous Machine (FIPMSM), with a consideration of the third harmonic component. Compared to conventional three-phase machines, the third harmonic of back electromotive force (back-EMF) contains more information. Thus, in this paper, the first and third harmonic components of the five-phase machine are considered to estimate the rotor position which is necessary for the vector control. Simulation results are shown to verify the feasibility and the robustness of the proposed sensorless control strategy.
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29

Bakhach, E., and C. Guehmann. "Monitoring of the electrical resistance of a three phase machine applied for the vehicle." Journal of Physics: Conference Series 1065 (August 2018): 102005. http://dx.doi.org/10.1088/1742-6596/1065/10/102005.

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30

Islam, Ziaul, Faisal Khan, Basharat Ullah, Ahmad H. Milyani, and Abdullah Ahmed Azhari. "Design and Analysis of Three Phase Axial Flux Permanent Magnet Machine with Different PM Shapes for Electric Vehicles." Energies 15, no. 20 (October 12, 2022): 7533. http://dx.doi.org/10.3390/en15207533.

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Axial flux permanent magnet (AFPM) machines are good candidates for electric vehicle applications due to their high torque density, improved efficiency, and better flux distribution; thus, they are often used. A dual-rotor single-stator AFPM machine with four differently shaped permanent magnet (PM) rotors is investigated. The main aim of this paper is to enhance the average torque while minimizing the cogging torque and torque ripples at the expense of low PM volume. The proposed machines are analyzed in terms of flux linkage, back-EMF, cogging torque, average torque, and torque ripples. The analysis reveals that the machine with an arc-shaped PM rotor performs better than the others. In addition, the trapozoidal arc-shaped PM used in the AFPM machine outperforms the hexagonal, skew arc, and traditional trapezoidal PMs. The torque density of the trapezoidal-shaped PM machine is 40.23 (KNm/m3), while that of the hexagonal shape is 32.46 (KNm/m3), that of the skew arc shape is 39.78 (KNm/m3), and that of the arc shape is 50.38 (KNm/m3).
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31

Chan, T. F., and L. L. Lai. "A Novel Single-Phase Self-Regulated Self-Excited Induction Generator Using a Three-Phase Machine." IEEE Power Engineering Review 21, no. 5 (May 2001): 62. http://dx.doi.org/10.1109/mper.2001.4311378.

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32

Drabek, Tomasz, Piotr Kapustka, Tomasz Lerch, and Jerzy Skwarczyński. "A Novel Approach to Transverse Flux Machine Construction." Energies 14, no. 22 (November 17, 2021): 7690. http://dx.doi.org/10.3390/en14227690.

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The article presents a concept for a new design of the well-known Transverse Flux Machine (TFM) made with the use of a flat core used in classical electrical machines. The proposed design was first analytically verified and was subsequently verified using the finite element method, which fully corroborated the results. The simulations show that a set of three single-phase TFM machines with slotted flat rotor yokes generates a torque over three times greater than that of an induction motor and twice as large as Fractional Slot Concentrated Winding—Permanent Magnet Synchronous Machines (FSCW-PMSM). The performed comparative calculations confirmed that the torque generated by machines operating on principles similar to TFM can generate a torque much greater than those currently in common use.
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33

Saed, Nejat, Stefan Leitner, Felix Krall, and Annette Muetze. "Noise and vibration characteristics of sub-fractional horsepower single-phase BLDC drives." e & i Elektrotechnik und Informationstechnik 139, no. 2 (March 30, 2022): 260–70. http://dx.doi.org/10.1007/s00502-022-01012-5.

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AbstractSingle-phase brushless DC (BLDC) drives are a cost-effective alternative for three-phase sub-fractional horsepower drives in automotive auxiliary applications. Inherent features of single-phase permanent magnet machines, such as high cogging torque and torque ripple, can, however, make them more audible than their three-phase counterparts. As some of these auxiliary drives are close to the passengers, where even a small amount of noise can be disturbing, the investigation into noise sources is essential to further address this challenge. In this paper, the dominant noise and vibration characteristics of single-phase BLDC machines are investigated for two different stator structures, i.e., salient-pole and claw-pole, and compared. Magnetic force density waves and finite element (FE) analyses are performed to analyze the electromagnetic forces resulting from the open-circuit condition as well as different switching strategies in the load condition. Structural analyses show that due to the mechanical structure’s lower stiffness and natural frequencies in the audible range, the example case machine with the claw-pole stator develops higher structure- and air-borne noise than the machine with the salient-pole stator.
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34

Abdel-Khalik, Ayman S., Ahmed M. Massoud, and Shehab Ahmed. "Application of Standard Three-Phase Stator Frames in Prime Phase Order Multiphase Machine Construction." IEEE Transactions on Industrial Electronics 66, no. 4 (April 2019): 2506–17. http://dx.doi.org/10.1109/tie.2018.2840497.

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35

More, D. S., and B. G. Fernandes. "Power density improvement of three phase flux reversal machine with distributed winding." IET Electric Power Applications 4, no. 2 (2010): 109. http://dx.doi.org/10.1049/iet-epa.2009.0003.

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36

JONG, H. C. J. DE. "END-WINDING INFLUENCE ON HOMOPOLAR EFFECTS IN ASYMMETRICAL THREE-PHASE MACHINE WINDINGS." Electric Machines & Power Systems 19, no. 4 (July 1991): 527–31. http://dx.doi.org/10.1080/07313569108909542.

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37

Gargiulo, Federico, Annalisa Liccardo, and Rosario Schiano Lo Moriello. "A Non-Invasive Method Based on AI and Current Measurements for the Detection of Faults in Three-Phase Motors." Energies 15, no. 12 (June 16, 2022): 4407. http://dx.doi.org/10.3390/en15124407.

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Three-phase motors are commonly adopted in several industrial contexts and their failures can result in costly downtime causing undesired service outages; therefore, motor diagnostics is an issue that assumes great importance. To prevent their failures and face the considered service outages in a timely manner, a non-invasive method to identify electrical and mechanical faults in three-phase asynchronous electric motors is proposed in the paper. In particular, a measurement strategy along with a machine learning algorithm based on an artificial neural network is exploited to properly classify failures. In particular, digitized current samples of each motor phase are first processed by means of FFT and PSD in order to estimate the associated spectrum. Suitable features (in terms of frequency and amplitude of the spectral components) are then singled out to either train or feed a neural network acting as a classifier. The method is preliminarily validated on a set of 28 electric motors, and its performance is compared with common state-of-the-art machine learning techniques. The obtained results show that the proposed methodology is able to reach accuracy levels greater than 98% in identifying anomalous conditions of three-phase asynchronous motors.
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38

Wang, Wei, Jinghao Zhang, Ming Cheng, and Shihua Li. "Fault-Tolerant Control of Dual Three-Phase Permanent-Magnet Synchronous Machine Drives Under Open-Phase Faults." IEEE Transactions on Power Electronics 32, no. 3 (March 2017): 2052–63. http://dx.doi.org/10.1109/tpel.2016.2559498.

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39

Raherimihaja, Henri Josephson, Qianfan Zhang, Tuopu Na, Meng Shao, and Jinxin Wang. "A Three-Phase Integrated Battery Charger for EVs Based on Six-Phase Open-End Winding Machine." IEEE Transactions on Power Electronics 35, no. 11 (November 2020): 12122–32. http://dx.doi.org/10.1109/tpel.2020.2986798.

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40

Valencia, Fausto, Hugo Arcos, and Franklin Quilumba. "Comparison of Machine Learning Algorithms for the Prediction of Mechanical Stress in Three-Phase Power Transformer Winding Conductors." Journal of Electrical and Computer Engineering 2021 (November 26, 2021): 1–9. http://dx.doi.org/10.1155/2021/4657696.

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This research compares four machine learning techniques: linear regression, support vector regression, random forests, and artificial neural networks, with regard to the determination of mechanical stress in power transformer winding conductors due to three-phase electrical faults. The accuracy compared with finite element results was evaluated for each model. The input data were the transient electrical fault currents of power system equivalents with impedances from low to high values. The output data were the mechanical stress in the conductors located in the middle of the winding. To simplify the design, only one hyperparameter was varied on each machine learning technique. The random forests technique had the most accurate results. The highest errors were found for low-stress values, mainly due to the high difference between maximum and minimum stresses, which made the training of the machine learning models difficult. In the end, an accurate model that could be used in the continuous monitoring of mechanical stress was obtained.
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41

Furtat, Igor, Pavel Gushchin, Evgeny Tupichin, and Alexey Peregudin. "Control study of multi-machine power systems under variations of mechanical input power and communication delay." Cybernetics and Physics, Volume 8, 2019, Number 4 (December 30, 2019): 235–43. http://dx.doi.org/10.35470/2226-4116-2019-8-4-235-243.

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The paper studies the robust control for multi-machine power systems under parametric uncertainties, perturbed mechanical input power and unknown variable communication time-delay. Only relative speed of each electrical generator is available for measurement. The theoretical investigations show that the proposed algorithm synchronizes the multi-machine power system with the required accuracy in the normal mode and under symmetrical 3-phase short circuit faults which occur on ransmission lines. Numerical investigations illustrate the efficiency of the proposed scheme for the three machines and the New England Power system benchmark.
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42

Batista Lopes Gonçalves Junior, João, Livia Da Silva Oliveira, David Barbosa de Alencar, and Jorge De Almeida Brito Junior. "Electric Energy Reuse of Plastic Injection Machine Motors for Lighting Circuit in a Manaus-Amazonas Industrial Pole Company." International Journal for Innovation Education and Research 7, no. 10 (October 31, 2019): 637–45. http://dx.doi.org/10.31686/ijier.vol7.iss10.1810.

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This work aims to reuse the electric energy used in three-phase induction motors of an industrial plastic injector for the lighting circuit of the same warehouse where the injectors are located, thus eliminating the need to use the energy of the electric company. Any resource that reuses electricity with better efficiency becomes essential today, making it a solution for industries that are thinking of saving the energy used in the productive processes in the manufacture of goods.This project uses a synchronous generator coupled to a three-phase induction motor of a plastic injector, which will reuse the electrical energy used of the induction motor to mechanically drive the synchronous generator, that will be able to generate enough electrical power in its coils for a 47-light shed lighting circuit, thus eliminating the need to use utility power, saving a portion of the energy usage costs on the monthly bill. This installation of the synchronous generator was performed on equipment of the company Moto Honda da Amazônia, which has a 24-hour operating regime for six days a week.
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43

Anđelić, Nikola, Ivan Lorencin, Matko Glučina, and Zlatan Car. "Mean Phase Voltages and Duty Cycles Estimation of a Three-Phase Inverter in a Drive System Using Machine Learning Algorithms." Electronics 11, no. 16 (August 21, 2022): 2623. http://dx.doi.org/10.3390/electronics11162623.

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To achieve an accurate, efficient, and high dynamic control performance of electric motor drives, precise phase voltage information is required. However, measuring the phase voltages of electrical motor drives online is expensive and potentially contains measurement errors, so they are estimated by inverter models. In this paper, the idea is to investigate if various machine learning (ML) algorithms could be used to estimate the mean phase voltages and duty cycles of the black-box inverter model and black-box inverter compensation scheme with high accuracy using a publicly available dataset. Initially, nine ML algorithms were trained and tested using default parameters. Then, the randomized hyper-parameter search was developed and implemented alongside a 5-fold cross-validation procedure on each ML algorithm to find the hyper-parameters that will achieve high estimation accuracy on both the training and testing part of a dataset. Based on obtained estimation accuracies, the eight ML algorithms from all nine were chosen and used to build the stacking ensemble. The best mean estimation accuracy values achieved with stacking ensemble in the black-box inverter model are R¯2=0.9998, MAE¯=1.03, and RMSE¯=1.54, and in the case of the black-box inverter compensation scheme R¯2=0.9991, MAE¯=0.0042, and RMSE¯=0.0063, respectively.
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44

Adam, Edriss Eisa Babikir, and A. Sathesh. "Three Phase Coil based Optimized Wireless Charging System for Electric Vehicles." September 2021 3, no. 3 (November 25, 2021): 182–95. http://dx.doi.org/10.36548/jsws.2021.3.005.

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With modernization and technology enhancements on a global scale, environmental consciousness has also been increasing in recent days. Various technologies and automobile industries are vandalized with sustainable solutions and green technologies. Transportation via roadways is mostly preferred for distant travel as well, despite the advancements in airways and railways, due to less capital outlay, door to door service possibility in rural areas etc. The conventional fuel vehicles are a huge contributor to environmental pollution. Electric vehicles are an optimal solution to this issue. The lives of the common masses are not impacted largely by the electric vehicles despite their market commercialization since a few decades. It is due to certain challenges associated with the electrical vehicles. A 100% efficient perpetual machine does not exist yet. Predominantly, challenges related to charging, hinders the success of e-vehicles. Frequent charging is required in case of long-distance travel and other scenarios in the existing vehicles. Based on the respective governments, extensive changes are made in the infrastructure to overcome the issues at the charging stations. In this paper, an enhanced wireless charging module for electric vehicles is presented. The use of multiple coils is emphasized for building up energy and transmitting it. The inductive power transfer mechanism and efficiency of the system are improved with the design of a three-phase coil. The mechanism for assessment of the energy consumed in e-vehicles is also discussed.
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45

Prastyaningrum, Ihtiari, and Hendrik Pratama. "Problem-Based Learning Model for Three-Phase Induction Motor." Jurnal Penelitian Fisika dan Aplikasinya (JPFA) 9, no. 1 (June 30, 2019): 55. http://dx.doi.org/10.26740/jpfa.v9n1.p55-64.

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This study aims to examine the Problem-Based Learning(PBL) model to improve the understanding of electromagnetic induction material in three-phase induction motor. Most of the students attending the Electrical Machine course have low understanding upon the working principles of the three-phase induction motor, in particular the basic theory of the relationship between the electromagnetic field and the three-phase induction motor. This study involved seventeen students of Electrical Engineering Education Study Program of Universitas PGRI Madiun in East Java. Data were collected through observation and tests, with the statistical test of research using paired sample t-test. This quasi-experimentresearch employed one-group pre-test and post-test design. The results showed that the application of PBL model with video simulation and practicesimprove students’understanding of the materials. The learning process by utilizing simulated animation video and the practices of unloading three-phase induction motors directly, the students’understanding of the working principles of three-phase induction motors increases with the average of N-Gain score. These results indicate the use of video and hands-on practice become effective way to deliver complex and abstract material to students. It is also believed that the learning on electromagnetic induction can be carried out more efficiently. Additionally, such learning model is believed to ease physics education.
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46

Perahia, J., and C. V. Nayar. "Generalized Machine Theory Applied to a Three Phase Twin Stator Squirrel-Cage Induction Motor." International Journal of Electrical Engineering & Education 31, no. 2 (April 1994): 167–83. http://dx.doi.org/10.1177/002072099403100210.

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Generalized machine theory applied to a three phase twin stator squirrel-cage induction motor This paper uses generalized machine theory to develop an equivalent circuit model of a three phase induction motor comprised of two independently housed stator windings with one stator housing moveable, and a single squirrel-cage rotor whose bars extend the full length of the two stators.
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47

Salih, Nahla Abdul Jalil, Hayder Tareq Rajab Altaie, Waleed Khalid Al-Azzawi, and Mohannad Jabbar Mnati. "Design and implementation of a driver circuit for three-phase induction motor based on STM32F103C8T6." Bulletin of Electrical Engineering and Informatics 12, no. 1 (February 1, 2023): 42–50. http://dx.doi.org/10.11591/eei.v12i1.4276.

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A three-phase induction motor is an electrical machine that can be used for many industrial applications. A three-phase driver circuit, also known as a three-wire series circuit or three-wire delta circuit is an electrical power system. These motors typically rely on power supplied using electric cables, which carry alternating currents. The three-phase motor inverter driver circuit is a simple circuit consisting of three half-wave rectifiers, which are connected in a bridge. When the input voltage level of the DC power supply to the inverter is high enough, this arrangement can provide a large current through the induction motor. This paper will show how to build a three-phase inverter driver circuit from scratch for a threephase induction motor by using (transistors and diodes) for photovoltaic application. The paper will guide people through each step with diagrams and schematics that make it easy for anyone to understand every part of this project and ensure people's safety by learning how these components work before putting them into their own design. The focus of this project will be on the use of STM32F103C8T6 as microcontrollers to generate the pulse width modulation (PWM) signals.
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48

Быкова, Валентина Прохоровна, and Valentina Prokhorovna Bykova. "Application of training and methodological complex Electrical Engineering." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2019, no. 4 (November 15, 2019): 130–40. http://dx.doi.org/10.24143/2073-1574-2019-4-130-140.

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The paper presents the laboratory practicum on electrical engineering and physics worked out on the basis of the teaching guide on electrical engineering including 5 test benches. It includes 24 laboratory works with elements of independent research. The detailed and illustrated test benches of the training complex are the following: Electrical Engineering and Electronics, Electric Machines and Electric Drive, Electric Machine Assembly, Electric Energy, its Transmission and Quality, Principles of Electrical Safety. Some stands are connected to a software and hardware complex designed for measuring the studied values, reflection and processing of analog signals. The compactness and versatility of the training complex Electrical Engineering are noted; one can do 6–9 laboratory works on electrical engineering and physics at one stand. Mathematical calculations of the readings are recommended to perform in Mathcad computer algebra system. A manual based on the laboratory works, which contains general safety rules, guidelines for per-forming tasks and requirements for their processing, is now under consideration. The advantages of the elaborated laboratory workshop have been listed; the educational, developmental, pedagogical tasks for solving at the lesson have been analyzed; a laboratory work “Three-phase circuit connection in star scheme” is given as an example. The diagram of a star connection is presented; a vector diagram of linear and phase voltages relations in a star connection is built. The oscillo-grams of currents under symmetrical load are illustrated. It has been noted that the individual tasks have an exploratory nature, they develop cognitive, independent and creative skills of students. The proposed methodological guidelines are recommended for specialists and bachelors in such areas as “Ship and Power Plants”, “Shipbuilding”, “Heat and Power Engineering and Heat Engineering”, etc., and can be used by teachers of general engineering disciplines
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49

Ramana, T. V., S. S. Manaktala, K. Valarmathi, Nitika Vats Doohan, Dasharathraj K. Shetty, Harish Kumar, and Reynah Akwafo. "Energy Auditing in Three-Phase Brushless DC Motor Drive Output for Electrical Vehicle Communication Using Machine Learning Technique." Wireless Communications and Mobile Computing 2022 (April 18, 2022): 1–14. http://dx.doi.org/10.1155/2022/9644795.

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Using predictive nonlinear optimal control, this model examines the output power of a three-phase brushless DC motor (BLDC) drive to ensure that it is stabilized (PNOC). A BLDC is a kind of electric motor that is used in a variety of applications and is one of the models of electric motors that are utilized in constant speed applications. In this motor, the movable component of the rotor created torque and the rotor rotated in a position of low reluctance; the location of the rotor is determined by the motor’s maximum inductance value. The BLDC drive controls the motor via the converter circuit, and the converter circuit ensures that the motor receives the appropriate output power. The project manager should have a thorough discussion with the team about the demagnetization of the malfunctioning BLDC motor before beginning this job. It is possible to model a machine using many existing technologies, such as electrical equivalent circuit diagram (EEC), which are based on a number of assumptions that make the analysis process or the analysis approach simpler. Despite numerical methodologies, these approach scenarios give frequency domain loop (FDL) precision frequency domain, using a suitable weight strategy to deliver high power solution creation (NM). The purpose of this essay is to integrate these two technologies in order to make contributions via the development of a new hybrid EEC-FDL model closed-loop brushless DC motor. PNOC is a driving system that uses predictive nonlinear optimal control (PNOC). The generated model is subjected to simulations under both healthy and incorrect settings, respectively. MATLAB software is utilized to construct the simulation of the control circuit, and simulation outputs are validated by experimental findings. Predictive nonlinear optimal control (PNOC) is employed to eliminate torque ripple and improve system stability.
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50

Shuraiji, Ahlam Luaibi. "The effect of static and dynamic eccentricities on the performance of flux reversal permanent magnet machine." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (June 1, 2020): 634. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp634-640.

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This study investigates the effect of static and dynamic eccentricities on the performances of flux reversal permanent magnet (FRPM) machine with even rotor pole number, i.e. FRPM machine with 12/10 stator/rotor combination. No-load and load performances of the machine are investigated under three rotor operating conditions including centricity, static eccentricity and dynamic eccentricity. The investigation has been carried out using 2D-FEA. It has been revealed that the 12/10 FRPM machine under normal operating condition has no unbalanced magnetic force, due to the even pole number of the rotor. On the other hand, such undesirable feature would be presented in the 12/10 FRPM machine as a result of the existing of static and dynamic eccentricities. Both static and dynamic eccentric machines exhibit unbalanced three-phase flux linkage as well as back-EMF. Moreover, three operating conditions of the investigated machine have the same fundamental cogging torque harmonic. However, low order harmonics are existed in the static and dynamic centric machines and are not found in the centric machine. Furthermore, about 16% less torque ripple delivered by the centric machine compared with both static and dynamic counterparts.
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