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Recent Advances and Applications in Electric Machines Design, Modelling, Control,...
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Recent Advances and Applications in Electric Machines Design, Modelling, Control, and Operation, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 November 2025 | Viewed by 1294

Special Issue Editor

Dr. Omid Beik

E-Mail Website
Guest Editor
Electrical Engineering Department, Colorado School of Mines, Golden, CO 80401, USA
Interests: renewable power and energy systems; space power systems; electric propulsion systems; power electronics; electric machines
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electric machines play an important role in modern civilization with increasing applications in the electrification industry (EVs), aerospace, renewable energy systems (such as wind turbines), robotics, automation, and appliances. Each application has specific needs, with the power density, efficiency, fault tolerance, and reliability being among top features sought across different applications. To respond to the increasing needs of electric machines, research on the design, modelling, control, and operation of machines has increased in the past decade. Magnetic design, thermal analyses, new control techniques, and modelling approaches are being studied in different corners of academia and industry.

We have organized this Special Issue to cover all aspects of electric machines, including but not limited to:

  • Design, modelling, control, and operation of electric machines covering all types including induction machines, permanent magnet machines, switch reluctance machines, hybrid machines, and multiphase machines.
  • A wide range of applications, including renewable energy systems (wind turbines), power systems (synchronous generators), hybrid- and all-electric aircrafts, robotics and automation, and appliances.
  • Studies of electromagnetic, thermal, and mechanical aspects of electric machines as well as packaging and manufacturing.

We are seeking both original research as well as review papers.

Dr. Omid Beik
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. Electronics 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 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

  • control of electric machines
  • electric machine design
  • PM machine
  • PMSM
  • synchronous generators
  • wind turbine generators
  • aerospace machines
  • drives

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Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

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Research

24 pages, 3857 KB  
Article
Design of a Brushless DC Motor Drive System Controller Integrating the Zebra Optimization Algorithm and Sliding Mode Theory
by Kuei-Hsiang Chao, Kuo-Hua Huang and Yu-Hong Guo
Electronics 2025, 14(17), 3353; https://doi.org/10.3390/electronics14173353 - 22 Aug 2025
Viewed by 480
Abstract
This paper presents a novel speed controller design for a brushless DC motor (BLDCM) operating under field-oriented control (FOC). The proposed speed controller is developed by integrating the zebra optimization algorithm (ZOA) with sliding mode theory (SMT). In this approach, the parameter ranges [...] Read more.
This paper presents a novel speed controller design for a brushless DC motor (BLDCM) operating under field-oriented control (FOC). The proposed speed controller is developed by integrating the zebra optimization algorithm (ZOA) with sliding mode theory (SMT). In this approach, the parameter ranges of the sliding mode dynamic trajectory control gain, exponential reaching gain, and constant speed reaching gain—three key components of the exponential reaching law-based sliding mode controller (ERLSMC)—are defined as the research space for the ZOA. The feedback speed error and its rate of change are used as features to calculate the fitness value. Subsequently, the fitness value computed by the algorithm is compared with the current best fitness value to determine the optimal position coordinates. These coordinates correspond to the optimal set of gain parameters for the sliding mode speed controller. During the operation of the BLDCM, these optimized parameters are applied to the controller in real time. This enables the system to adjust the three gain parameters dynamically under different operating conditions, thereby reducing the overshoot commonly induced by the ERLSMC. As a result, the speed response of the BLDCM drive system can more accurately and rapidly track the speed command. Therefore, the proposed control strategy is not only characterized by a small number of parameters and ease of tuning, but also does not require large datasets for training, making it highly practical and easy to implement. Finally, the proposed control strategy is simulated using Matlab/Simulink (2024b version) and applied to the BLDCM drive system for experimental testing. Its performance is compared against three types of sliding mode controllers employing different reaching laws: the constant speed reaching law, the exponential reaching law, and the exponential reaching law combined with extension theory (ET). Simulation and experimental results confirm that the proposed novel speed controller outperforms the other three sliding mode controllers based on different reaching laws, both in terms of speed command tracking and load regulation response. Full article
(This article belongs to the Special Issue Recent Advances and Applications in Electric Machines Design, Modelling, Control, and Operation, 2nd Edition)
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19 pages, 8276 KB  
Article
Torque Ripple Suppression Strategy Based on Online Identification of Flux Linkage Harmonics
by Xin Gu, Bingzhi Zhang, Zhiqiang Wang, Xuefeng Jin, Guozheng Zhang and Zhichen Lin
Electronics 2025, 14(11), 2174; https://doi.org/10.3390/electronics14112174 - 27 May 2025
Viewed by 593
Abstract
Permanent magnet flux harmonics in Permanent Magnet Synchronous Motors (PMSMs) can cause torque ripple. Traditional torque ripple suppression methods based on analytical models are highly dependent on the accuracy of motor parameters, while existing flux harmonic identification techniques often suffer from limited precision, [...] Read more.
Permanent magnet flux harmonics in Permanent Magnet Synchronous Motors (PMSMs) can cause torque ripple. Traditional torque ripple suppression methods based on analytical models are highly dependent on the accuracy of motor parameters, while existing flux harmonic identification techniques often suffer from limited precision, compromising the effectiveness of ripple suppression. This paper proposes an online flux harmonic identification method that considers the dead-time effect of inverters. A dead-time compensation algorithm is introduced to effectively mitigate current harmonics induced by inverter dead-time. The current harmonic signals are extracted using a multi-synchronous rotating coordinate system. A harmonic controller is employed to suppress current harmonics, and its output voltage is used to identify the permanent magnet flux harmonics, from which a flux harmonic lookup table is constructed. Based on the identified flux harmonics, the torque ripple suppression strategy using analytical methods is further optimized. Experimental results validate the effectiveness of the proposed method in improving flux harmonic identification accuracy and reducing torque ripple. Full article
(This article belongs to the Special Issue Recent Advances and Applications in Electric Machines Design, Modelling, Control, and Operation, 2nd Edition)
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