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Energies
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Recent Advances in Electrical Machines and Drives
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Recent Advances in Electrical Machines and Drives

A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (10 August 2021) | Viewed by 3206

Special Issue Editors

Prof. Dr. Antonino Oscar Di Tommaso

E-Mail Website
Guest Editor
Department of Engineering, University of Palermo, Palermo, Italy
Interests: electric machines; electric drives; power electronics; programming, design and fabrication of electronic control boards; theoretical physics
Special Issues, Collections and Topics in MDPI journals
Dr. Massimo Caruso

E-Mail Website
Guest Editor
Department of Engineering, University of Palermo, viale delle Scienze, Building nr. 9, 90128 Palermo, Italy
Interests: design, simulation, and experimental development of electrical machines and drives for industrial and sustainable energy applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the last few decades, the field of electric drives has faced a significant evolution, thanks to the technological innovation of electric motors, sensors, power converters and their control strategies. Nowadays, the energy consumption determined by electric drives corresponds to 46% of the global energy demand and, therefore, new optimization techniques and control algorithms have been developed in order to either maximize the efficiency or reduce the harmonic content of the whole drive, maintaining the same performance. Moreover, advanced and high-accuracy measurement equipment is needed in order to allow the performance improvement of the power drive system.
Therefore, this Special Issue, entitled “Recent Advances in Electrical Machines and Drives,” aims to present and disseminate the most recent advances and future perspectives related to the theory, design, modelling, application, and control of both traditional and unconventional electric machines and drives.
Topics of interest include, but are not limited to:

  • Parameter characterization of new and traditional electric machines
  • Winding design for innovative electric machines
  • Development of multiphase machines and drives
  • Efficiency measurement of motors, modules and converters, and power drive systems
  • Techniques for the power loss minimization in electric drives
  • Diagnosis and fault prediction in electric machines and drives
  • Simulation tools, modelling, and analysis of electrical machines
  • Design, development and control of innovative power converters for electric drives and renewable generation systems
  • Sensors for electric drive applications

Prof. Dr. Antonino Oscar Di Tommaso
Dr. Massimo Caruso
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

  • Electrical machines
  • Electrical drives
  • Multiphase motors and generators
  • Winding design
  • Power converters
  • Efficiency enhancement
  • Fault tolerant drives
  • Finite Element Analysis Permanent Magnet Machines
  • Induction machines
  • Power loss minimization

Published Papers (1 paper)

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Research

23 pages, 5280 KiB  
Article
Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems
by Ibrahim Farouk Bouguenna, Ahmed Tahour, Ralph Kennel and Mohamed Abdelrahem
Energies 2021, 14(6), 1727; https://doi.org/10.3390/en14061727 - 20 Mar 2021
Cited by 16 | Viewed by 2728
Abstract
This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter’s real voltage vectors are utilized along [...] Read more.
This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter’s real voltage vectors are utilized along with new virtual voltage vectors to form switching sequences for each sampling period in order to improve the steady-state performance. Furthermore, to obtain the reference voltage vector (VV) directly from the reference current and to reduce the calculation load of the proposed MV-FCS-MPC technique, a deadbeat function (DB) is added. Subsequently, the best real or virtual voltage vector to be applied in the next sampling instant is selected based on a certain cost function. Moreover, a fuzzy logic controller is employed in the outer loop for controlling the speed of the rotor. Accordingly, the dynamic response of the speed is improved and the difficulty of the proportional-integral (PI) controller tuning is avoided. The response of the suggested technique is verified by simulation results and compared with that of the conventional FCS-MPC. Full article
(This article belongs to the Special Issue Recent Advances in Electrical Machines and Drives)
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