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Energies
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Developments in Automatic Control in Drives and Power Electronics
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Developments in Automatic Control in Drives and Power Electronics

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

Deadline for manuscript submissions: closed (10 April 2025) | Viewed by 1171

Special Issue Editors

Dr. Tomasz Tarczewski

E-Mail Website
Guest Editor
Institute of Engineering and Technology, Faculty of Physics Astronomy and Informatics, Nicolaus Copernicus University in Torun, ul. Grudziadzka 5, 87-100 Torun, Poland
Interests: electrical drives; optimal control; adaptive control; nature-inspired optimization algorithms; estimation techniques; mobile robots
Special Issues, Collections and Topics in MDPI journals
Dr. Marcin Kaminski

E-Mail Website
Guest Editor
Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Interests: neural networks; adaptive control; fuzzy logic; optimization of control structures using nature-inspired techniques; hardware implementations (FPGA, DSP, microcontrollers) of algorithms based on artificial intelligence; electrical drives
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Guest Editors are inviting submissions for the Special Issue “Developments in Automatic Control in Drives and Power Electronics”. It is the second volume of SI  "Frontiers in Automatic Control in Drives and Power Electronics", in which 7 papers were published.

Electrical drives and power electronics converters are commonly used in industrial applications, transportation systems, power generation and transmission, and home appliances. Their performance, effectiveness, and reliability strictly depend on the control algorithm used. This Special Issue aims to provide an opportunity for researchers to present their recent work in the field of automatic control in drives and power electronics. Topics related to novel control strategies, trends, problems, and challenges linked to synthesis and analysis will be presented. Papers within (but not limited to) the scopes mentioned below are welcome.

  • Advanced control strategies for electrical drives and power converters.
  • Modern optimization methods (including nature-inspired algorithms) in identification, tuning, and control.
  • Fault tolerant control of electrical machines and power converters.
  • Advanced observers and sensorless control.
  • Diagnosis, monitoring, and predictive maintenance in drives and power electronics.
  • Innovative hardware solutions (e.g., novel drive construction, the implementation of algorithms in programmable devices, etc.) and communication protocols in power electronics and drives. 

Dr. Tomasz Tarczewski
Dr. Marcin Kaminski
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 drives
  • power converters
  • new control algorithms
  • optimization and estimation
  • diagnosis, monitoring, and maintenance
  • innovative hardware solutions

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Published Papers (1 paper)

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Research

14 pages, 5559 KiB  
Article
Classification of Rolling Bearing Defects Based on the Direct Analysis of Phase Currents
by Oliwia Frankiewicz, Maciej Skowron, Jeremi Jan Jarosz, Sebastien Weisse, Jerome Valire and Krzysztof Szabat
Energies 2025, 18(10), 2645; https://doi.org/10.3390/en18102645 - 20 May 2025
Viewed by 464
Abstract
Electric machines are gaining popularity in transport and replacing internal combustion engines. However, the diagnosis of their faults remains an ongoing problem. Traditional diagnostic methods, such as vibration, sound, and temperature analysis, have limitations in practical applications, particularly because of external interference and [...] Read more.
Electric machines are gaining popularity in transport and replacing internal combustion engines. However, the diagnosis of their faults remains an ongoing problem. Traditional diagnostic methods, such as vibration, sound, and temperature analysis, have limitations in practical applications, particularly because of external interference and the need for additional sensors. This paper presents a new diagnostic approach based on convolutional neural networks (CNNs) and direct analysis of current signals. The proposed solution allows for a significant reduction in the number of samples required for effective diagnostics. The neural network, operating on 500 signal samples, achieved a classification efficiency of 99.85–100% for each category of damage investigated. Tests were conducted to determine the effect of noise on the accuracy of the system. This study compares applications based on mechanical vibration signals and the proposed algorithm based on phase current signals. The results indicate that the proposed approach can be successfully applied to real-world monitoring systems for electrical machinery, offering a high-efficiency diagnostic tool while fulfilling the limitations of demanding measurement systems. Full article
(This article belongs to the Special Issue Developments in Automatic Control in Drives and Power Electronics)
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