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Energies
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Design and Control of Electrical Machines and Drives
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Design and Control of Electrical Machines and Drives

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 7988

Special Issue Editors

Prof. Dr. Bojan Štumberger

E-Mail Website
Guest Editor
Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
Interests: electric machines design; modeling and control of electric machines and drives; finite element analysis; energy efficiency; renewable energy sources
Prof. Dr. Miralem Hadžiselimović

E-Mail Website
Guest Editor
Head of the Applied Electrical Engineering Laboratory, Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
Interests: electric machines design; nonlinear dynamic modeling; experimental methods; renewable energy sources; energy efficiency
Prof. Dr. Sebastijan Seme

E-Mail Website
Guest Editor
Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
Interests: modeling and optimization; energy efficiency; power electronics; photovoltaic systems; renewable energy sources

Special Issue Information

Dear Colleagues,

Climate changes and significant efforts to decrease greenhouse emissions in transport and in electric power generation demand the use of innovative electric machines with lower energy consumption and development of the enhanced control methods for their usage. Innovative design of electric machines should follow the next main targets: high energy efficiency during energy conversion, reliability of operation, controllability, simplicity, rugged construction, low production price, low maintenance cost and recyclability of used materials. Full utilization of electric drives features is possible only with simultaneous development of both electrical machines and control methods.

This Special Issue focuses on, but is not limited to, the following topics:

  • Electromagnetic and thermal design methods for electric machines;
  • Multi-objective optimization of electric machines and drives;
  • Core loss analysis and advanced core loss calculation methods;
  • Design of line-start permanent magnet and line-start permanent magnet-free machines;
  • Nonlinear models of electric machines with concentrated parameters;
  • Development of electric machines for electric propulsion;
  • Dual-rotor PM machines for electrical variable transmission;
  • Development of highly-efficient electric machines for general applications;
  • Of-line and on-line methods for identification of electric machine parameters;
  • Development of enhanced control methods for electric machines and drives (field oriented control, direct torque control, model predictive control, model-free predictive control);
  • Advanced control system strategies for wind power generation systems.

Prof. Dr. Bojan Štumberger
Prof. Dr. Miralem Hadžiselimović
Prof. Dr. Sebastijan Seme
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. Energies 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 2600 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.

Keywords

  • Electric machines
  • Electric drives
  • Energy efficiency
  • Advanced control methods
  • Industrial applications
  • Electric propulsion
  • Power generation systems

Published Papers (4 papers)

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Research

25 pages, 17006 KiB  
Article
Space Vector Modulation (SVM)-Based Common-Mode Current (CMC) Reduction Method of H8 Inverter for Permanent Magnet Synchronous Motor (PMSM) Drives
by Won-Sang Jeong, Yoon-Seong Lee, Jung-Hyo Lee, Chang-Hee Lee and Chung-Yuen Won
Energies 2022, 15(1), 266; https://0-doi-org.brum.beds.ac.uk/10.3390/en15010266 - 31 Dec 2021
Cited by 5 | Viewed by 2028
Abstract
This paper proposes a space vector modulation (SVM)-based common-mode (CM) currents reduction method of an H8 inverter for permanent magnet synchronous motor (PMSM) drives. There are power quality issues in the PMSM drive systems, such as current distortions and CM electromagnetic interference (EMI) [...] Read more.
This paper proposes a space vector modulation (SVM)-based common-mode (CM) currents reduction method of an H8 inverter for permanent magnet synchronous motor (PMSM) drives. There are power quality issues in the PMSM drive systems, such as current distortions and CM electromagnetic interference (EMI) due to the fast-switching operation of the inverter. These issues are related to CM voltage (CMV) and CM current (CMC). Although several studies have been conducted to reduce the CMV and CMC, some CMV variations and CMCs are still generated in the real implementation. Unlike conventional methods, the proposed method selects the voltage vectors with similar CMV levels and arranges them considering the series-connected switch operation of the H8 inverter in a voltage vector modulation sequence. At a low modulation index (MI), the proposed method completely restricts the CMV variations into six times. At high MI, the proposed method synthesizes the reference voltage vector differently, depending on the position of the reference vector, to reduce both current distortions and CMCs. The validity of the proposed method is verified through simulations and experimental results. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines and Drives)
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19 pages, 8594 KiB  
Article
Comparative Analysis of Control Methods with Model Reference Adaptive System Estimators of a Seven-Phase Induction Motor with Encoder Failure
by Jacek Listwan and Krzysztof Pieńkowski
Energies 2021, 14(4), 1147; https://0-doi-org.brum.beds.ac.uk/10.3390/en14041147 - 21 Feb 2021
Cited by 7 | Viewed by 1710
Abstract
This article presents a comparative analysis of the direct torque control with space vector modulation method for seven-phase squirrel-cage induction motor during the encoder failure. The direct torque control with space vector modulation method with model reference adaptive system with current model and [...] Read more.
This article presents a comparative analysis of the direct torque control with space vector modulation method for seven-phase squirrel-cage induction motor during the encoder failure. The direct torque control with space vector modulation method with model reference adaptive system with current model and current estimator and model reference adaptive system—flux based estimator applied in the control loop of the motor speed have been analyzed. The mathematical model of the seven-phase induction motor and model reference adaptive system-type estimators have been described. The method of space vector modulation applied to the seven-phase voltage source inverter, controlled seven-phase induction motor, has been described. The operation of direct torque control with space vector modulation has been verified via simulation tests, and the results of performed simulation studies have been analyzed and presented. The authors’ original contribution and work novelty includes comparison studies of the performance of the direct torque control method with space vector modulation of a seven-phase induction motor with two estimators: model reference adaptive system—flux based estimator and the novel model reference adaptive system with current model and current estimator. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines and Drives)
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29 pages, 8815 KiB  
Article
Research on the Non-Magnetic Conductor of a PMSM Based on the Principle of Variable Exciting Magnetic Reluctance
by Chunyan Li, Fei Guo, Baoquan Kou and Tao Meng
Energies 2021, 14(2), 318; https://0-doi-org.brum.beds.ac.uk/10.3390/en14020318 - 08 Jan 2021
Cited by 1 | Viewed by 1532
Abstract
A permanent magnet synchronous motor (PMSM) based on the principle of variable exciting magnetic reluctance (VMRPMSM) is presented. The motor is equipped with symmetrical non-magnetic conductors on both sides of the tangential magnetized permanent magnets (PMs). By placing the non-magnetic conductor (NMC), the [...] Read more.
A permanent magnet synchronous motor (PMSM) based on the principle of variable exciting magnetic reluctance (VMRPMSM) is presented. The motor is equipped with symmetrical non-magnetic conductors on both sides of the tangential magnetized permanent magnets (PMs). By placing the non-magnetic conductor (NMC), the magnetic reluctance in the exciting circuit is adjusted, and the flux weakening (FW) of the motor is realized. Hence, the NMC is studied comprehensively. On the basis of introducing the motor structure, the FW principle of this PMSM is described. The shape of the NMC is determined by analyzing and calculating the electromagnetic force (EF) acting on the PMs. We calculate the magnetic reluctance of the NMC and research on the effects of the NMC on electromagnetic force, d-axis and q-axis inductance and FW performance. The critical speeds from the test of the no-load back electromotive force (EMF) verify the correctness of the NMC design. The analysis is corresponding to the test result which lays the foundation of design for this kind of new PMSM. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines and Drives)
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15 pages, 7032 KiB  
Article
Super-Twisting Algorithm Applied to Velocity Control of DC Motor without Mechanical Sensors Dependence
by Fredy A. Valenzuela, Reymundo Ramírez, Fermín Martínez, Onofre A. Morfín and Carlos E. Castañeda
Energies 2020, 13(22), 6041; https://0-doi-org.brum.beds.ac.uk/10.3390/en13226041 - 19 Nov 2020
Cited by 5 | Viewed by 1825
Abstract
A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we propose a robust [...] Read more.
A DC motor velocity control in feedback systems usually requires a velocity sensor, which increases the controller cost. Additionally, the velocity sensor used in industrial applications presents several disadvantages such as maintenance requirements and signal conditioning. In this work, we propose a robust velocity control scheme applied to a DC motor based on estimation strategies using a sliding-mode observer. This means that measurements with mechanical sensors are not required in the controller design. The proposed observer estimates the rotational velocity and load torque of the motor. The controller design applies the exact-linearization technique combined with the super-twisting algorithm to achieve robust performance in the closed-loop system. The controller validation was carried out by experimental tests using a workbench, which is composed of a control and data acquisition Digital Signal Proccessor board, a DC-DC electronic converter, an interface board for signals conditioning, and a DC electric generator connected to an adjustable resistive load. The simulation and experimental results show a significant performance of the proposed control scheme. During tests, the accuracy, robustness, and speed response on the controller were evaluated and the experimental results were compared with a classic proportional-integral controller, which uses a conventional encoder. Full article
(This article belongs to the Special Issue Design and Control of Electrical Machines and Drives)
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