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Advances in the Field of Electrical Machines and Drives 2022

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 6973

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Special Issue Editor

Dr. Athanasios Karlis

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Guest Editor

Department of Electrical and Computer Engineering Democritus University of Thrace, 67100 Komotini, Greece
Interests: electrical machines and drives; diagnostics of electrical machines; renewable energies and smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions for a Special Issue of Energies on the subject area of "Advances in the Field of Electrical Machines and Drives". Electrical machines and drives are dominating our everyday life, as they have numerous applications in industry, power production, home appliances, and transportation systems, e.g., electric or hybrid electric vehicles, ships, aircrafts, etc. Their development follows the rapid advances in science, engineering, and technology. Electrical machines and drives are being extensively investigated by researchers around the world due to their reliability, efficiency, performance, and fault-tolerant structure, with a focus on the importance of the integration of these new trends in their technology for energy saving and reduction of greenhouse gas emissions. This Special Issue aims to provide an opportunity for researchers to present their recent work on the advances in the field of electrical machines and drives. We welcome any article dealing with: new design trends of electrical machines and drives including special machines and their applications, new materials including the insulation of electrical machines; new trends in the diagnostics and condition monitoring; power electronics, control schemes, and algorithms for electrical drives; new topologies; and innovative applications.

Dr. Athanasios Karlis
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 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

rotating machines
special machines
new design trends of electrical machines and drives
new materials in electrical machines
diagnostics and condition monitoring
electrical drives
new control schemes for electrical drives
new power electronics for electrical drives
new topologies of electrical machines and drives
innovative manufacturing techniques

Published Papers (4 papers)

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Research

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18 pages, 6700 KiB

Open AccessFeature PaperArticle

AC Distributed Winding with Low Higher Spatial Harmonics Content in Mmf Distribution

by Jan Staszak

Energies 2023, 16(14), 5430; https://0-doi-org.brum.beds.ac.uk/10.3390/en16145430 - 17 Jul 2023

Viewed by 1267

Abstract

This paper presents a new winding with a low higher spatial harmonics content. This winding enables the elimination of the fifth harmonic, as the most significant, in three-phase winding and the third harmonic in two-phase symmetrical winding. The suppression of higher spatial harmonics is particularly evident with the number of slots per pole per phase q_s = 2. The winding factors for the higher spatial harmonics of the order ν = 6 k ± 1 in the case of three-phase winding, and ν = 4 k ± 1 in the case of two-phase winding, for k = 1, 3, 5, …, will be equal to zero. A two-phase measurement winding, with the number of slots per pole per phase q_s = 1, was used to evaluate the higher spatial harmonics content in the magnetic field in the air gap of the machine. Experimental verification of the designed winding was carried out. Full article

(This article belongs to the Special Issue Advances in the Field of Electrical Machines and Drives 2022)

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18 pages, 3715 KiB

Open AccessArticle

Comparative Investigation of Three Diagnostic Methods Applied to Direct-Drive Permanent Magnet Machines Suffering from Demagnetization

by Syidy Ab Rasid, Konstantinos N. Gyftakis and Markus Mueller

Energies 2023, 16(6), 2767; https://0-doi-org.brum.beds.ac.uk/10.3390/en16062767 - 16 Mar 2023

Viewed by 1089

Abstract

Direct-drive permanent magnet machines are ideal candidates for remote renewable applications, due to their independence from gearboxes and minimization of maintenance needs. However, faults may still appear in the generator of such a machine and affect its operation and production. Not only can demagnetization cause a catastrophic breakdown if left unchecked, but it also directly impacts the output quality of generators. As such, demagnetization is a topic of great interest. This paper investigated the sensitivity of three diagnostic methods—current signature analysis (CSA), Park’s vector approach (PVA), and extended Park’s vector approach (EPVA)—for demagnetization fault detection on a coreless permanent magnet generator. Full article

(This article belongs to the Special Issue Advances in the Field of Electrical Machines and Drives 2022)

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26 pages, 19306 KiB

Open AccessArticle

Autonomous Electric-Vehicle Control Using Speed Planning Algorithm and Back-Stepping Approach

by Sofiane Bacha, Ramzi Saadi, Mohamed Yacine Ayad, Mohamed Sahraoui, Khaled Laadjal and Antonio J. Marques Cardoso

Energies 2023, 16(5), 2459; https://0-doi-org.brum.beds.ac.uk/10.3390/en16052459 - 04 Mar 2023

Cited by 3 | Viewed by 1375

Abstract

Autonomous electric vehicles (AEVs) have garnered increasing attention in recent years as they hold significant promise for transforming the transportation sector. However, despite advances in the field, effective vehicle drive control remains a critical challenge that must be addressed to realize the full potential of AEVs. This study presents a novel approach to AEV drive control for concurrently generating a suitable speed profile and controlling the vehicle drive speed along a planned path that takes into account various driving circumstances that mimic real-world driving. The designed strategy is divided into two parts: The first part presents a proposed speed planning algorithm (SPA) that works on developing an adequate speed profile for vehicle navigation; first, the algorithm uses an approach for identifying sharp curves on the predefined trajectory; secondly, based on the dynamic properties of these curves, it generates an appropriate speed profile to ensure smooth vehicle travel across the entire trajectory with varying velocities. The second part proposes a new back-stepping control technique with a space vector modulation (SVM) strategy to control the speed of an induction motor (IM) as a traction part of the AEV. A load torque observer has been designed to enhance the speed-tracking task, while the system stability has been proven using Lyapunov theory. Through a series of experiments and simulations using MATLAB/Simulink software and the dSPACE 1104 real-time interface, we demonstrate the effectiveness of the SPA combined with the back-stepping control technique and highlight its potential to advance the field of AEV technology. Our findings have important implications for the design and implementation of AEVs and provide a foundation for future research in this exciting area of study. Full article

(This article belongs to the Special Issue Advances in the Field of Electrical Machines and Drives 2022)

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Review

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26 pages, 5228 KiB

Open AccessReview

Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model

by Lin Liu, Youguang Guo, Wenliang Yin, Gang Lei and Jianguo Zhu

Energies 2022, 15(17), 6186; https://0-doi-org.brum.beds.ac.uk/10.3390/en15176186 - 25 Aug 2022

Cited by 12 | Viewed by 2534

Abstract

One of the keys to the success of the fourth industrial revolution (Industry 4.0) is to empower machinery with cyber–physical systems connectivity. The digital twin (DT) offers a promising solution to tackle the challenges for realizing digital and smart manufacturing which has been successfully projected in many scenes. Electrical machines and drive systems, as the core power providers in many appliances and industrial equipment, are supposed to be reinforced on the verge of Industry 4.0 in the fields of design optimization, fault prognostic and coordinated control. Therefore, this paper aims to investigate the DT modelling method and the applications in electrical drive systems. Firstly, taking the high-speed permanent-magnet machine drive system as an example, multi-disciplinary design fundamentals and technologies, aiming at building initial mechanism and simulation models, are reviewed. The state-of-the-art of DT technologies is figured out to serve for high-precision and multi-scale dynamic modelling, by which a framework for DT models of electrical drive systems is presented. More importantly, fault diagnosis and optimization strategies of electrical drive systems in the decision and application layer are also discussed for the DT models, followed by the conclusions presenting open questions and possible directions. Full article

(This article belongs to the Special Issue Advances in the Field of Electrical Machines and Drives 2022)

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