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Machines
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Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition
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Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 3091

Special Issue Editor

Dr. Kotb Basem Tawfiq

E-Mail Website
Guest Editor
Department of Electromechanical, Systems, and Metal Engineering, Ghent University, 9000 Ghent, Belgium
Interests: matrix converter; inverter; space vector modulation; symmetrical sequence algorithm; wind energy conversion system; synchronous reluctance machine; multiphase machine; vector control; winding function; harmonic analysis; star-pentagon and optimization techniques
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

It is my pleasure to invite you to submit your original research or review papers to this Special Issue, entitled “Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition”. The power electronic converter is the main part in an electrical drive system and it is used in many applications, such as electrical vehicles, as well as hospital and military applications. The type of control method and the switching frequency of the power converter have a great impact on the obtained machine’s performance. The efficiency and torque density of the drive system are greatly dependent on power converter switching. With the rapid progress being made in power electronics, this impact could be minimized. This Special Issue will include the most recent and advanced scientific studies, with a special emphasis on the development and practical concerns for power electronic controlling techniques and their configuration; however, this is not limited to the type of machine or the type of power converter of the control methods. The topics of interest include, but are not limited to, the following:

  • Power converter topologies and associated control and modulation techniques.
  • Modeling and switching enhancement techniques for power converters.
  • The design and modeling of the drive system.
  • New power electronics technology.
  • New technologies in multi-phase drives.
  • Switching losses in power converters.

Dr. Kotb Basem Tawfiq
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Machines is an international peer-reviewed open access monthly 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.

Keywords

  • power converter
  • inverters
  • three-phase drives
  • multi-phase drives
  • switching losses
  • fault tolerance control
  • modulation techniques

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Related Special Issue

Published Papers (3 papers)

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Research

19 pages, 2384 KB  
Article
Promoting the Green Transformation of Traditional Ships in Anhui Province: A Model Prediction Cost Analysis Algorithm for a New Electrification Transformation Scheme Using Lithium Iron Phosphate Battery
by Xiaoqing Zhou, Risha Na and Jun Tao
Machines 2025, 13(10), 938; https://doi.org/10.3390/machines13100938 - 11 Oct 2025
Cited by 1 | Viewed by 628
Abstract
Promoting the green transformation of traditional diesel-powered ships is crucial for achieving carbon peaking and carbon neutrality goals. This study focuses on diesel-engine ships operating in the inland river areas of Anhui Province, China. It proposes two electrification retrofit schemes based mainly on [...] Read more.
Promoting the green transformation of traditional diesel-powered ships is crucial for achieving carbon peaking and carbon neutrality goals. This study focuses on diesel-engine ships operating in the inland river areas of Anhui Province, China. It proposes two electrification retrofit schemes based mainly on lithium iron phosphate (LIP) batteries: full electrification and diesel-engine redundancy. The economic and environmental impacts of these schemes are analyzed and compared with those of conventional diesel-powered ships. A cost prediction algorithm based on model prediction is proposed, supported by a mathematical model for cost analysis. Results indicate that for electric tankers to become economically viable, battery costs must decrease through yearly improvements in energy density and reduced degradation rates. Additionally, government support is essential, such as raising carbon prices and providing subsidies—either an annual operational subsidy of CNY 80,000 or an initial construction subsidy of CNY 500,000. The study concludes that continued advances in battery technology, together with policy and financial support, will accelerate the large-scale electrification of ships. Full article
(This article belongs to the Special Issue Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition)
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24 pages, 5544 KB  
Article
Novel Model Predictive Control Strategies for PMSM Drives: Reducing Computational Burden and Enhancing Real-Time Implementation
by Mohamed Salah, Kotb B. Tawfiq, Arafa S. Mansour and Ahmed Farhan
Machines 2025, 13(10), 908; https://doi.org/10.3390/machines13100908 - 2 Oct 2025
Cited by 1 | Viewed by 1026
Abstract
Model predictive control (MPC) has emerged as a favorable control approach for PMSM drives, though its practical deployment is frequently hindered by superior computational complexity and execution burden. This paper presents four finite control set MPC (FCS-MPC) techniques applied to a two-level inverter-fed [...] Read more.
Model predictive control (MPC) has emerged as a favorable control approach for PMSM drives, though its practical deployment is frequently hindered by superior computational complexity and execution burden. This paper presents four finite control set MPC (FCS-MPC) techniques applied to a two-level inverter-fed PMSM drive. Two of the approaches are conventional methods, while the other two are novel developed strategies proposed in this paper. The novel techniques focus on significantly decreasing computational burdens by employing an efficient space-vector selection mechanism that quickly selects the optimum switching vector without exhaustive evaluation. A comprehensive comparative assessment of all four control methods is conducted under various operating conditions, evaluating their dynamic and steady-state performance, computational requirements, and real-time feasibility. Simulation results demonstrate that the proposed techniques achieve a significant reduction in computational effort and faster processing, up to 39.65% faster than conventional full-state evaluation, while maintaining control performances comparable to conventional techniques. These results highlight the potential of the proposed MPC approaches to bridge the gap between advanced control theory and practical implementation in real-time PMSM drive systems, providing effective solutions for installing high-performance PMSM drives on hardware with limited resources. Full article
(This article belongs to the Special Issue Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition)
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23 pages, 11166 KB  
Article
Small-Signal Input Impedance Modeling of PWM Induction Motor Drives and Interactive Stability Assessment with DC Link
by Dirui Yang, Zhewen Kan, Yuewu Wang, Wenlong Ren, Yebin Yang and Kun Xia
Machines 2025, 13(7), 580; https://doi.org/10.3390/machines13070580 - 4 Jul 2025
Viewed by 958
Abstract
DC link power supply systems that integrate power electronic converters are increasingly being adopted. In particular, emerging “source–load” systems, in which the DC link interfaces with converters, have attracted increasing research interest due to concerns about power quality and system stability. This paper [...] Read more.
DC link power supply systems that integrate power electronic converters are increasingly being adopted. In particular, emerging “source–load” systems, in which the DC link interfaces with converters, have attracted increasing research interest due to concerns about power quality and system stability. This paper addresses mid- and low-frequency oscillation issues in DC link voltage supplied induction motor drives (IMDs). It begins by constructing a multiple-input multiple-output (MIMO) state-space model of the induction motor. For the first time, the dq-axis control system is represented as an equivalent admittance model that forms two single-input single-output (SISO) loops. The PI controller and induction motor are integrated into the inverter’s input impedance model; Furthermore, the effectiveness and accuracy of the derived impedance model are experimentally validated under various operating conditions of the induction motor using a custom-built test platform. The experimental results offer a practical reference for system enhancement and stability evaluation. Full article
(This article belongs to the Special Issue Advanced Power Electronic Technologies in Electric Drive Systems, 2nd Edition)
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