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Electronics
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Robust Design Optimization of Electrical Machines and Devices
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Robust Design Optimization of Electrical Machines and Devices

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (27 March 2022) | Viewed by 33732

Printed Edition Available!
A printed edition of this Special Issue is available here.

Special Issue Editors

Dr. Tamás Orosz

E-Mail Website
Guest Editor
Department of Power Electronics and Drives, Széchenyi István University, 9026 Győr, Hungary
Interests: optimization; robust design optimization; modeling; numerical analysis; electrical machines; transformers; applied and computational mathematics
Special Issues, Collections and Topics in MDPI journals
Dr. David Pánek

E-Mail Website
Guest Editor
Department of Theory of Electrical Engineering, University of West Bohemia, 30614 Pilsen, Czech Republic
Interests: optimization; robust design optimization; modeling; numerical analysis; electrical machines; applied and computational mathematics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Anton Rassõlkin

E-Mail Website
Guest Editor
Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
Interests: electrical drives; mechatronics; electric vehicles; electrical machines
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Miklos Kuczmann

E-Mail Website
Guest Editor
Department of Automation, Széchenyi István University, H-9026 Győr, Hungary
Interests: control system synthesis; computer-aided instruction; electrical machines; finite element analysis; magnetic hysteresis; nonlinear control systems; state–space methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Optimization is an essential part of research and design for any mechatronic device, especially electrical machines. Finding the optimal solutions may lead to cheaper, more economical products, faster and more efficient production, or more sustainable solutions. However, optimizing such a complex system as an electrical machine is a computationally expensive optimization problem, where many physical domains should be considered together. However, a good, practical design needs to consider the electrical device’s design parameters; nevertheless, it should be insensitive to parameter changes or manufacturing tolerances.   This Special Issue focuses on papers which show how modern artificial intelligence tools can be used for robust design optimization of electric machines and electrical devices, or how these tools can be benchmarked, or the correctness of the result validated. 

Topics of interest for this Special Issue include but are not limited to:

  • System-level modeling, multidomain automatic analysis tools, co-simulations, etc.;
  • New numerical and analytical modeling techniques;
  • Advanced modeling (electromagnetic, thermal, NVH, mechanical, EMC, insulation, etc.);
  • Advanced models for diagnosis;
  • Electromagnetic materials, iron losses, additional losses;
  • Optimization techniques;
  • Advanced testing (multiphysics performances, standard tests, life accelerated testing, etc.);
  • Optimization and learning under uncertainty
  • Model-based software development and validation of optimization of electrical machines or electric devices;
  • Surrogate and reduced-order modeling of electric machines and electric devices.

Dr. Tamás Orosz
Dr. David Pánek
Prof. Dr. Anton Rassõlkin
Prof. Dr. Miklos Kuczmann
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (15 papers)

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Editorial

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4 pages, 176 KiB  
Editorial
Robust Design Optimization of Electrical Machines and Devices
by Tamás Orosz, David Pánek, Anton Rassõlkin and Miklós Kuczmann
Electronics 2022, 11(9), 1427; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11091427 - 29 Apr 2022
Cited by 1 | Viewed by 1238
Abstract
This article introduces a Special Issue (SI) that contains fourteen chosen articles from robust design optimization of electrical machines and devices [...] Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)

Research

Jump to: Editorial

17 pages, 994 KiB  
Article
Performance Comparison of Quantized Control Synthesis Methods of Antenna Arrays
by David Pánek, Tamás Orosz, Pavel Karban, Deubauh Cedrick D. Gnawa and Hamid Keshmiri Neghab
Electronics 2022, 11(7), 994; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11070994 - 23 Mar 2022
Cited by 5 | Viewed by 1651
Abstract
There is a great potential in small satellite technology for testing new sensors, processes, and technologies for space applications. Antennas need careful design when developing a small satellite to establish stable communication between the ground station and the satellite. This work is motivated [...] Read more.
There is a great potential in small satellite technology for testing new sensors, processes, and technologies for space applications. Antennas need careful design when developing a small satellite to establish stable communication between the ground station and the satellite. This work is motivated by the design of an antenna array for a future rotatorless base station for the VZLUSAT group of Czech nano-satellites. The realized antenna array must cover a relatively broad range of elevation and azimuth angles, and the control must be fast enough to track the satellite in low Earth orbits. The paper deals with possibilities of synthesis of quantized control of the antenna array. It compares quantization influence for well-known deterministic synthesis methods. It shows the method for decreasing computational cost of synthesis using optimization approach and presents the multi-criteria optimization as a tool for reaching required radiation pattern shape and low sensitivity to quantization at the same time. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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14 pages, 5514 KiB  
Article
A Computationally Efficient Model Predictive Current Control of Synchronous Reluctance Motors Based on Hysteresis Comparators
by Wagner Benjamim, Imed Jlassi and Antonio J. Marques Cardoso
Electronics 2022, 11(3), 379; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11030379 - 27 Jan 2022
Cited by 4 | Viewed by 2382
Abstract
Model predictive current control (MPCC) has recently become a powerful advanced control technology in industrial drives. However, current prediction in MPCC requires a high number of voltage vectors (VVs) synthesizable by the converter, thus being computationally demanding. Accordingly, in this paper, a computationally [...] Read more.
Model predictive current control (MPCC) has recently become a powerful advanced control technology in industrial drives. However, current prediction in MPCC requires a high number of voltage vectors (VVs) synthesizable by the converter, thus being computationally demanding. Accordingly, in this paper, a computationally efficient MPCC of synchronous reluctance motors (SynRMs) that reduces the number of VVs used for prediction is proposed. By making the most of the simplicity of hysteresis current control (HCC) and integrating it with the MPCC scheme, only four out of eight predictions are needed to determine the best VV, dramatically reducing algorithm computations. The experimental results show that the execution time can be shortened by 20% while maintaining the highest control efficiency. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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14 pages, 5989 KiB  
Article
Assessment of Thermophysical Performance of Ester-Based Nanofluids for Enhanced Insulation Cooling in Transformers
by Suhaib Ahmad Khan, Mohd Tariq, Asfar Ali Khan, Basem Alamri and Lucian Mihet-Popa
Electronics 2022, 11(3), 376; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11030376 - 26 Jan 2022
Cited by 10 | Viewed by 2783
Abstract
Nanotechnology provides an effective way to upgrade the thermophysical characteristics of dielectric oils and creates optimal transformer design. The properties of insulation materials have a significant effect on the optimal transformer design. Ester-based nanofluids (NF) are introduced as an energy-efficient alternative to conventional [...] Read more.
Nanotechnology provides an effective way to upgrade the thermophysical characteristics of dielectric oils and creates optimal transformer design. The properties of insulation materials have a significant effect on the optimal transformer design. Ester-based nanofluids (NF) are introduced as an energy-efficient alternative to conventional mineral oils, prepared by dispersing nanoparticles in the base oil. This study presents the effect of nanoparticles on the thermophysical properties of pure natural ester (NE) and synthetic ester (SE) oils with temperature varied from ambient temperature up to 80 °C. A range of concentrations of graphene oxide (GO) and TiO2 nanoparticles were used in the study to upgrade the thermophysical properties of ester-based oils. The experiments for thermal conductivity and viscosity were performed using a TC-4 apparatus that follows Debby’s concept and a redwood viscometer apparatus that follows the ASTM-D445 experimental standard, respectively. The experimental results show that nanoparticles have a positive effect on the thermal conductivity and viscosity of oils which reduces with an increase in temperature. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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25 pages, 3833 KiB  
Article
Power Quality Monitoring Strategy Based on an Optimized Multi-Domain Feature Selection for the Detection and Classification of Disturbances in Wind Generators
by David A. Elvira-Ortiz, Juan J. Saucedo-Dorantes, Roque A. Osornio-Rios, Daniel Morinigo-Sotelo and Jose A. Antonino-Daviu
Electronics 2022, 11(2), 287; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11020287 - 17 Jan 2022
Cited by 8 | Viewed by 1901
Abstract
Wind generation has recently become an essential renewable power supply option. Wind generators are integrated with electrical machines that require correct functionality. However, the increasing use of non-linear loads introduces undesired disturbances that may compromise the integrity of the electrical machines inside the [...] Read more.
Wind generation has recently become an essential renewable power supply option. Wind generators are integrated with electrical machines that require correct functionality. However, the increasing use of non-linear loads introduces undesired disturbances that may compromise the integrity of the electrical machines inside the wind generator. Therefore, this work proposes a five-step methodology for power quality disturbance detection in grids with injection of wind farm energy. First, a database with synthetic signals is generated, to be used in the training process. Then, a multi-domain feature estimation is carried out. To reduce the problematic dimensionality, the features that provide redundant information are eliminated through an optimized feature selection performed by means of a genetic algorithm and the principal component analysis. Additionally, each one of the characteristic feature matrices of every considered condition are modeled through a specific self-organizing map neuron grid so they can be shown in a 2-D representation. Since the SOM model provides a pattern of the behavior of every disturbance, they are used as inputs of the classifier, based in a softmax layer neural network that performs the power quality disturbance detection of six different conditions: healthy or normal, sag or swell voltages, transients, voltage fluctuations and harmonic distortion. Thus, the proposed method is validated using a set of synthetic signals and is then tested using two different sets of real signals from an IEEE workgroup and from a wind park located in Spain. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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11 pages, 1985 KiB  
Article
The Structural and Dielectric Properties of Bi3−xNdxTi1.5W0.5O9 (x = 0.25, 0.5, 0.75, 1.0)
by Sergei V. Zubkov, Ivan A. Parinov and Yulia A. Kuprina
Electronics 2022, 11(2), 277; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11020277 - 16 Jan 2022
Cited by 3 | Viewed by 1406
Abstract
A new series of layered perovskite-like oxides Bi3−xNdxTi1.5W0.5O9 (x = 0.25, 0.5, 0.75, 1.0) was synthesized by the method of high-temperature solid-state reaction, in which partial substitution of bismuth (Bi) atoms in the dodecahedra [...] Read more.
A new series of layered perovskite-like oxides Bi3−xNdxTi1.5W0.5O9 (x = 0.25, 0.5, 0.75, 1.0) was synthesized by the method of high-temperature solid-state reaction, in which partial substitution of bismuth (Bi) atoms in the dodecahedra of the perovskite layer (A-positions) by Nd atoms takes place. X-ray structural studies have shown that all compounds are single-phase and have the structure of Aurivillius phases (APs), with close parameters of orthorhombic unit cells corresponding to space group A21am. The dependences of the relative permittivity ε/ε0 and the tangent of loss tgσ at different frequencies on temperature were measured. The piezoelectric constant d33 was measured for Bi3−xNdxTi1.5W0.5O9 (x = 0.25, 0.5, 0.75) compounds of the synthesized series. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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15 pages, 7488 KiB  
Article
On the Optimal Selection of Flux Barrier Reconfiguration for a Five-Phase Permanent Magnet Assisted Synchronous Reluctance Machine for Low-Torque Ripple Application
by Hamidreza Ghorbani, Mohammadreza Moradian and Mohamed Benbouzid
Electronics 2022, 11(1), 41; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11010041 - 23 Dec 2021
Cited by 3 | Viewed by 2821
Abstract
This paper aims to investigate the reconfigurations of rotor flux barriers for a five-phase Permanent Magnet Assisted Synchronous Reluctance Machine (PMASynRM). To precisely study the performance of the proposed configurations, a conventional PMASynRM with double-layer flux barriers is included in the study. Since [...] Read more.
This paper aims to investigate the reconfigurations of rotor flux barriers for a five-phase Permanent Magnet Assisted Synchronous Reluctance Machine (PMASynRM). To precisely study the performance of the proposed configurations, a conventional PMASynRM with double-layer flux barriers is included in the study. Since the novel rotor schemes consume the same amount of rare-earth magnets, steel sheet materials, and copper wire, resulting in no extra manufacturing costs, the optimal reconfiguration should be determined, providing developed electromagnetic characteristics. Thus, all the proposed models are designed and analyzed under the same condition. The Lumped Parameter Model (LPM) is exported to the Finite Element Method (FEM) for precise analysis to reach developed torque and lower values of torque ripple. Based on the FEM results the model presenting the lowest torque fluctuations is selected as the optimal model and dynamically investigated. According to the results, in comparison with the conventional model, the introduced rotor designs provide a much lower value of torque fluctuations with a desirable amount of electromagnetic torque and power. In addition, the optimal model presents high values of power factor and efficiency, making it a vital alternative for low-torque ripple high-speed operations with no extra cost to the implementation process. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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13 pages, 5025 KiB  
Article
A Multi-Objective Design Optimization for a Permanent Magnet Synchronous Machine with Hairpin Winding Intended for Transport Applications
by Mohammad Soltani, Stefano Nuzzo, Davide Barater and Giovanni Franceschini
Electronics 2021, 10(24), 3162; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10243162 - 18 Dec 2021
Cited by 8 | Viewed by 2454
Abstract
Nowadays, interest in electric propulsion is increasing due to the need to decarbonize society. Electric drives and their components play a key role in this electrification trend. The electrical machine, in particular, is seeing an ever-increasing development and extensive research is currently being [...] Read more.
Nowadays, interest in electric propulsion is increasing due to the need to decarbonize society. Electric drives and their components play a key role in this electrification trend. The electrical machine, in particular, is seeing an ever-increasing development and extensive research is currently being dedicated to the improvement of its efficiency and torque/power density. Among the winding methods, hairpin technologies are gaining extensive attention due to their inherently high slot fill factor, good heat dissipation, strong rigidity, and short end-winding length. These features make hairpin windings a potential candidate for some traction applications which require high power and/or torque densities. However, they also have some drawbacks, such as high losses at high frequency operations due to skin and proximity effects. In this paper, a multi-objective design optimization is proposed aiming to provide a fast and useful tool to enhance the exploitation of the hairpin technology in electrical machines. Efficiency and volume power density are considered as main design objectives. Analytical and finite element evaluations are performed to support the proposed methodology. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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15 pages, 8009 KiB  
Article
Comparison of Mechanical and Low-Frequency Dielectric Properties of Thermally and Thermo-Mechanically Aged Low Voltage CSPE/XLPE Nuclear Power Plant Cables
by Ramy S. A. Afia, Ehtasham Mustafa and Zoltán Ádám Tamus
Electronics 2021, 10(22), 2728; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10222728 - 09 Nov 2021
Cited by 6 | Viewed by 1777
Abstract
During the service period of low-voltage nuclear cables, multiple stresses influence the aging of polymeric materials of cables. Thermal and radiation stresses are considered service aging factors in qualification tests, while the standards usually do not prescribe mechanical stress. CSPE/XLPE insulated nuclear cable [...] Read more.
During the service period of low-voltage nuclear cables, multiple stresses influence the aging of polymeric materials of cables. Thermal and radiation stresses are considered service aging factors in qualification tests, while the standards usually do not prescribe mechanical stress. CSPE/XLPE insulated nuclear cable samples were exposed to thermal and combined thermo-mechanical aging for more than 1200 h at 120 °C. The real and imaginary parts of permittivity were measured in the 200 μHz to 50 mHz range as dielectric properties. The Shore D hardness of the samples was measured to analyze the mechanical characteristics of the cable. To characterize the dielectric spectrum, derived quantities, namely central real and imaginary permittivities and real and imaginary permittivities’ central frequencies were calculated. The change of dielectric spectra did not show a clear trend with aging, but the imaginary permittivity’s central frequency was higher by 0.5 mHz in the case of thermo-mechanically aged samples. The Shore D hardness was also higher on the thermo-mechanically aged samples. These findings show the combined aging has a higher impact on the insulation properties. Hence, involving the mechanical stress in the aging procedure of cable qualification enables the design of more robust cables in a harsh environment. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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15 pages, 10127 KiB  
Article
Robust and Multi-Objective Pareto Design of a Solenoid
by Krisztián Gadó and Tamás Orosz
Electronics 2021, 10(17), 2139; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10172139 - 02 Sep 2021
Cited by 5 | Viewed by 1897
Abstract
The optimization of the design of a practical electromagnetic device involves many challenging tasks for new algorithms, especially those involving numerical modeling codes in which objective function calls must be minimized for practical design processes. The Compumag Society provides openly accessible, challenging benchmark [...] Read more.
The optimization of the design of a practical electromagnetic device involves many challenging tasks for new algorithms, especially those involving numerical modeling codes in which objective function calls must be minimized for practical design processes. The Compumag Society provides openly accessible, challenging benchmark problems (TEAM problems) for testing novel numerical solvers. This paper deals with a novel solution for the multi-objective TEAM benchmark problem. This solenoid design test problem aims to search for the optimal shape of a coil, which ensures a uniform field distribution in the control region, while the sensitivity and the mass/DC loss of the coil are also considered in the context of robust design. The main differences from the previously published solutions are that the proposed methodology optimizes all three objectives together, not only as two independent two-dimensional sub-problems. We considered the asymmetrical cases in the solution and found that the symmetrical solutions always produced better uniformity and sensitivity measures. However, the difference between the symmetrical and asymmetrical solutions is insignificant for these objectives. Despite the fact that the cheapest solutions are symmetrical setups, they perform worse than the cheapest asymmetric ones in these uniformity and sensitivity criteria. Therefore, some asymmetric solutions that were previously neglected from the solution space can be competitive and interesting for practical design. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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9 pages, 7135 KiB  
Article
Analytical Study and Comparison of Electromagnetic Characteristics of 8-Pole 9-Slot and 8-Pole 12-Slot Permanent Magnet Synchronous Machines Considering Rotor Eccentricity
by Hoon-Ki Lee, Tae-Kyoung Bang, Jeong-In Lee, Jong-Hyeon Woo, Hyo-Seob Shin, Ick-Jae Yoon and Jang-Young Choi
Electronics 2021, 10(16), 2036; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10162036 - 23 Aug 2021
Cited by 3 | Viewed by 2248
Abstract
In this study, a magnetic field is analyzed using an analytical method and compared with the electromagnetic characteristics of 8-pole 9-slot and 8-pole 12-slot permanent magnet synchronous machines considering rotor eccentricity. The magnetic flux density and back electromotive force (EMF) are derived using [...] Read more.
In this study, a magnetic field is analyzed using an analytical method and compared with the electromagnetic characteristics of 8-pole 9-slot and 8-pole 12-slot permanent magnet synchronous machines considering rotor eccentricity. The magnetic flux density and back electromotive force (EMF) are derived using perturbation theory and electromagnetic theory. First, the Fourier modeling of a permanent magnet is performed through magnetization modeling, and two analysis regions are set based on several assumptions for applying the analytical method. Accordingly, the governing equations of the analysis regions are derived in the form of Poisson and Laplace equations. In addition, the undefined coefficients of the general solutions are calculated through general solutions and appropriate boundary conditions, and the magnetic flux density and back EMF of the air gap region are derived based on the definition of the magnetic vector potential. The results obtained using the analytical method are compared with the finite element method and experimental results. In addition, we perform a torque analysis considering rotor eccentricity and analyze the torque ripple based on rotor eccentricity for two cases involving the pole/slot combination. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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13 pages, 37291 KiB  
Article
Application of Particle Swarm Optimization in the Design of an ICT High-Voltage Power Supply with Dummy Primary Winding
by Can Jiang, Jun Yang and Mingwu Fan
Electronics 2021, 10(15), 1866; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10151866 - 03 Aug 2021
Cited by 3 | Viewed by 1577
Abstract
The distribution of disk output voltage is a key factor for the design of an insulated core transformer (ICT) high-voltage power supply. The development of an ICT involves the design and optimization of many parameters, which greatly affect the uniformity of disk output [...] Read more.
The distribution of disk output voltage is a key factor for the design of an insulated core transformer (ICT) high-voltage power supply. The development of an ICT involves the design and optimization of many parameters, which greatly affect the uniformity of disk output voltage. A new ICT structure with dummy primary windings can compensate for the disk output voltage, which aims to improve uniformity. In this work, an optimization method based on a particle swarm optimization (PSO) algorithm was used to optimize the design parameters of an ICT with dummy primary windings. It achieved an optimal uniformity of disk output voltage and load regulation. The design parameters, including the number of secondary winding turns and the compensation capacitance, were optimized based on the finite-element method (FEM) and Simulink circuit simulation. The results show that the maximum non-uniformity of the disk output voltage is reduced from 11.1% to 4.4% from no-load to a full load for a 200 kV/20 mA HUST-ICT prototype. Moreover, the load regulation is greatly reduced from 14.3% to 9.6%. The method improves the stability and reliability of the ICT high voltage power supply and greatly reduces the design time. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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15 pages, 2555 KiB  
Article
A Novel, Improved Equivalent Circuit Model for Double-Sided Linear Induction Motor
by Qian Zhang, Huijuan Liu, Tengfei Song and Zhenyang Zhang
Electronics 2021, 10(14), 1644; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10141644 - 10 Jul 2021
Cited by 5 | Viewed by 2197
Abstract
A novel, improved equivalent circuit model of double-sided linear induction motors (DLIMs) is proposed, which takes the skin effect and the nonzero leakage reactance of the secondary, longitudinal, and transverse end effects into consideration. Firstly, the traditional equivalent circuit with longitudinal and transverse [...] Read more.
A novel, improved equivalent circuit model of double-sided linear induction motors (DLIMs) is proposed, which takes the skin effect and the nonzero leakage reactance of the secondary, longitudinal, and transverse end effects into consideration. Firstly, the traditional equivalent circuit with longitudinal and transverse end effects are briefly reviewed. Additionally, the correction coefficients for longitudinal and transverse end effects derived by one-dimensional analysis models are given. Secondly, correction factors for skin effect, which reflects the inhomogeneous air gap magnetic field vertically, and the secondary leakage reactance are derived by the quasi-two-dimensional analysis model. Then, the proposed equivalent circuit is presented, and the excitation reactance and secondary resistance are modified by the correction coefficients derived from the three analytical models. Finally, a three-dimensional (3D) finite element model is used to verify the proposed equivalent circuit model under varying air gap width and frequency, and the results are also compared with that of the traditional equivalent circuit models. The calculated thrust characteristics by the proposed equivalent circuit and 3D finite element model are experimentally validated under a constant voltage–frequency drive. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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14 pages, 2910 KiB  
Article
A Modified Dynamic Model of Single-Sided Linear Induction Motors Considering Longitudinal and Transversal Effects
by Hamidreza Heidari, Anton Rassõlkin, Arash Razzaghi, Toomas Vaimann, Ants Kallaste, Ekaterina Andriushchenko, Anouar Belahcen and Dmitry V. Lukichev
Electronics 2021, 10(8), 933; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10080933 - 14 Apr 2021
Cited by 8 | Viewed by 2295
Abstract
This paper proposes a modified dynamic equivalent circuit model for a linear induction motor considering both longitudinal end effect and transverse edge effect. The dynamic end effect (speed-dependent end effect) is based on conventional Duncan’s approach. The transverse edge effect is investigated by [...] Read more.
This paper proposes a modified dynamic equivalent circuit model for a linear induction motor considering both longitudinal end effect and transverse edge effect. The dynamic end effect (speed-dependent end effect) is based on conventional Duncan’s approach. The transverse edge effect is investigated by using three correction factors applied to the secondary resistance and magnetizing inductance. Moreover, the iron saturation effect, the skin effect, and the air-gap leakage effect are incorporated into the proposed model by using the field-analysis method. A new topology of the steady-state and space-vector model of linear induction, regarding all mentioned phenomena, is presented. The parameters of this model are calculated using both field analysis and the finite-element method. The steady-state performance of the model is first validated using the finite-element method. Additionally, the dynamic performance of the proposed model is studied. The results prove that the proposed equivalent circuit model can precisely predict the dynamic and steady-state performances of the linear induction. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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16 pages, 7001 KiB  
Article
Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method
by Ekaterina Andriushchenko, Ants Kallaste, Anouar Belahcen, Toomas Vaimann, Anton Rassõlkin, Hamidreza Heidari and Hans Tiismus
Electronics 2021, 10(4), 494; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10040494 - 20 Feb 2021
Cited by 14 | Viewed by 2698
Abstract
In recent decades, the genetic algorithm (GA) has been extensively used in the design optimization of electromagnetic devices. Despite the great merits possessed by the GA, its processing procedure is highly time-consuming. On the contrary, the widely applied Taguchi optimization method is faster [...] Read more.
In recent decades, the genetic algorithm (GA) has been extensively used in the design optimization of electromagnetic devices. Despite the great merits possessed by the GA, its processing procedure is highly time-consuming. On the contrary, the widely applied Taguchi optimization method is faster with comparable effectiveness in certain optimization problems. This study explores the abilities of both methods within the optimization of a permanent magnet coupling, where the optimization objectives are the minimization of coupling volume and maximization of transmitted torque. The optimal geometry of the coupling and the obtained characteristics achieved by both methods are nearly identical. The magnetic torque density is enhanced by more than 20%, while the volume is reduced by 17%. Yet, the Taguchi method is found to be more time-efficient and effective within the considered optimization problem. Thanks to the additive manufacturing techniques, the initial design and the sophisticated geometry of the Taguchi optimal designs are precisely fabricated. The performances of the coupling designs are validated using an experimental setup. Full article
(This article belongs to the Special Issue Robust Design Optimization of Electrical Machines and Devices)
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