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Energies
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Advanced Topologies and Control Strategies in Electric Machines and Drives
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Advanced Topologies and Control Strategies in Electric Machines and Drives

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 3386

Special Issue Editors

Dr. Quntao An

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Interests: permanent magnet synchronous motors and drives; high-power permanent magnet synchronous motor drive system (high voltage/multiphase); low-cost permanent magnet synchronous motor drive system; wide-bandgap-device-based motor drive system; high-reliability motor system (fault diagnosis/ redundancy/fault tolerance); linear motor drives
Special Issues, Collections and Topics in MDPI journals
Dr. Fei Yao

E-Mail Website
Guest Editor
Department of Electrical Engineering, School of Information Science and Technology, Donghua University, Shanghai 201620, China
Interests: motor drive and control; power electronics and power conversion technology; new motor design; electromagnetic field analysis and calculation

Special Issue Information

Dear Colleagues,

In the current era, in order to meet constantly emerging application needs, new topologies and control strategies are being developed for electric machines and drives. In particular, with the development of new energy technologies, such as electric vehicles, multi-electric aircrafts, and wind power generation, new structures, controls, algorithms, and design methods are being presented in electric machines and drives. The new electric machine and drive techniques include the design of new electric machine topologies and excitation systems, new calculation methods for the electromagnetic fields, new modeling methods, the monitoring of healthy information, novel control algorithms, high-efficiency modulation strategies, the application of new power devices, etc.

This Special Issue aims to present and disseminate the results of research into new topologies and control technologies in electric machines and drives and contribute to the next generation of electric machine and drive technology.

Topics of interest for publication include, but are not limited to:

  1. Design, modelling and analysis for electric machines with novel topologies;
  2. Multiphase machines and drives;
  3. Novel linear motor and drives;
  4. Advanced control algorithms for electric machine drives
  5. High-speed, high-power, low-cost electric machines and drives;
  6. New topologies for electric machine drives;
  7. Fault tolerance and reliability in electric machines and drives;
  8. Sensorless control for electric machines;
  9. Thermal issues of electric machines;
  10. Vibroacoustic issues of electric machines.

Dr. Quntao An
Dr. Fei Yao
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

  • electric machines
  • multiphase machines
  • linear machines
  • control strategy
  • sensorless control
  • predictive control
  • fault-tolerant machines
  • EMC of motor systems

Related Special Issue

Published Papers (6 papers)

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Research

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16 pages, 8651 KiB  
Article
Fault-Tolerant Direct Torque Control of Five-Phase Permanent Magnet Synchronous Motor under Single Open-Phase Fault Based on Virtual Vectors
by Changpan Zhou, Rundong Zhong, Guodong Sun, Dongdong Zhao, Xiaopeng Zhao and Guoxiu Jing
Energies 2024, 17(11), 2660; https://doi.org/10.3390/en17112660 - 30 May 2024
Viewed by 174
Abstract
In the existing literature, direct torque control (DTC) by synthesizing virtual vectors can effectively suppress low-order harmonic currents under the single open-phase fault (OPF) of the five-phase permanent magnet synchronous motor (PMSM), but the sectors and the look-up tables need to be redesigned, [...] Read more.
In the existing literature, direct torque control (DTC) by synthesizing virtual vectors can effectively suppress low-order harmonic currents under the single open-phase fault (OPF) of the five-phase permanent magnet synchronous motor (PMSM), but the sectors and the look-up tables need to be redesigned, which makes the control process more complicated. In order to solve this problem, an indirect correction method of virtual vectors is proposed, and the amplitudes of the virtual vectors are maximized. The fault-tolerant DTC strategy under the OPF ensures that there is no need to re-divide the sectors under the fault. And the selection rules of the look-up tables are consistent with the healthy operation. The difference is that the amplitudes of ten virtual vectors in the faulty operation are reduced, which simplifies the control process and is easy to implement. Finally, the correctness and effectiveness of the proposed control strategy were verified by experiments. Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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16 pages, 4909 KiB  
Article
Research on Sliding Mode Variable Structure Model Reference Adaptive System Speed Identification of Bearingless Induction Motor
by Wenshao Bu, Wenqing Tao and Youpeng Chen
Energies 2024, 17(11), 2615; https://doi.org/10.3390/en17112615 - 29 May 2024
Viewed by 189
Abstract
To improve the speed observation accuracy of the bearingless induction motor (BL-IM) and achieve its high-performance speed sensorless control, an improved sliding mode variable structure model reference adaptive system speed identification method based on sigmoid function (sigmoid-VS-MRAS) is proposed. Firstly, to overcome the [...] Read more.
To improve the speed observation accuracy of the bearingless induction motor (BL-IM) and achieve its high-performance speed sensorless control, an improved sliding mode variable structure model reference adaptive system speed identification method based on sigmoid function (sigmoid-VS-MRAS) is proposed. Firstly, to overcome the problem of initial values and cumulative errors in the pure integration link of the reference flux-linkage voltage model, the rotor flux-linkage reference voltage model has been improved by using an equivalent integrator instead of the pure integration link. Then, in order to improve the rapidity and robustness of speed identification, the sliding mode variable structure adaptive law is adopted instead of the PI adaptive law. In addition, in order to optimize the sliding mode variable structure adaptive law and overcome the sliding mode chattering problem, a sigmoid function with smooth continuity characteristics is used instead of the sign function. Finally, on the basis of the inverse system decoupling control of a BL-IM, simulation experiments were conducted to verify the sigmoid-VS-MRAS speed identification method. The research results indicate that when the proposed speed identification method is adopted, not only higher identification accuracy and rapidity can be achieved than traditional PI-MRAS methods, but it can also eliminate the problem of high-frequency vibration (with an amplitude of about 3.0 r/min) when using the sign-VS-MRAS method; meanwhile, the steady-state tracking speed with zero deviation can still be maintained after loading. Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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25 pages, 1989 KiB  
Article
Experimental Identification of a Coupled-Circuit Model for the Digital Twin of a Wound-Rotor Induction Machine
by Fatma Zohra Aboubi, Abdrahamane Maïga, Jérôme Cros and Innocent Kamwa
Energies 2024, 17(8), 1948; https://doi.org/10.3390/en17081948 - 19 Apr 2024
Viewed by 483
Abstract
The development of monitoring and diagnostic methods for electrical machines requires the use of transient models capable of operating in real time and producing signal signatures with high precision. In this context, coupled-circuit models offer numerous advantages due to their speed of execution [...] Read more.
The development of monitoring and diagnostic methods for electrical machines requires the use of transient models capable of operating in real time and producing signal signatures with high precision. In this context, coupled-circuit models offer numerous advantages due to their speed of execution and accuracy. They have been successfully employed to create real-time digital twins of electrical machines. The main challenge of this modeling method lies in the preparation of the model, which involves numerous preliminary calculations and takes time to identify all its parameters. This is particularly due to the variation in inductances based on the rotor position. To determine these inductance values with great precision, the classical approach involves using finite-element field calculation software. However, the computation time quickly becomes an issue due to the large number of values to calculate and simulations to perform. This article introduces an innovative experimental approach to identify a coupled-circuit model and develop a digital twin of a wound-rotor induction machine. This method relies solely on simple electrical measurements and tests conducted at extremely low rotation speeds (1 rpm) to obtain inductance variations as a function of the rotor position. By employing this technique, the need for analytical models or finite-element field calculation simulations, which typically require precise knowledge of the machine’s geometry and materials, is circumvented. The measurement processing employs optimization methods to extract the inductances as a function of the rotor position, which are then used as input data for the coupled-circuit model. The final parameters are specific to each machine and replicate all its manufacturing imperfections such as eccentricity and geometric or winding defects. This experimental identification method significantly enhances the model’s accuracy and reduces the usually required preliminary calculation time in a finite-element-based identification process. Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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17 pages, 17265 KiB  
Article
Design, Analysis and Experimental Verification of a Coreless Permanent Magnet Synchronous Motor
by Wojciech Szelag, Cezary Jedryczka, Mariusz Baranski and Milena Kurzawa
Energies 2024, 17(7), 1664; https://doi.org/10.3390/en17071664 - 30 Mar 2024
Viewed by 612
Abstract
The paper presents a new cost-effective magnetic circuit structure of a coreless permanent magnet synchronous motor (PMSM) with 16 poles and 12 coils for a mass production fan drive unit. 2D and 3D numerical models of the coreless PMSM were developed. Optimisation calculations [...] Read more.
The paper presents a new cost-effective magnetic circuit structure of a coreless permanent magnet synchronous motor (PMSM) with 16 poles and 12 coils for a mass production fan drive unit. 2D and 3D numerical models of the coreless PMSM were developed. Optimisation calculations were carried out using the field model of the machine. Multistage calculations were performed using the professional FEM package, ANSYS Maxwell and the author’s proprietary finite element method (FEM) code. On the basis of the conducted tests and analysis of the obtained results, the “optimal” magnetic circuit structure of the PMSM motor was selected. The prototype motor was subjected to measurement to verify the developed models and the proposed design approach that takes advantage of finite element analysis (FEA). Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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18 pages, 11942 KiB  
Article
Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox
by György Istenes and József Polák
Energies 2024, 17(5), 1203; https://doi.org/10.3390/en17051203 - 3 Mar 2024
Cited by 1 | Viewed by 919
Abstract
In this paper, a software framework is presented through an application that is able to jointly optimize an electric motor and a gearbox for the design of a drive system for electric vehicles. The framework employs a global optimization method and uses both [...] Read more.
In this paper, a software framework is presented through an application that is able to jointly optimize an electric motor and a gearbox for the design of a drive system for electric vehicles. The framework employs a global optimization method and uses both analytical and finite element method (FEM) models to evaluate the objective functions. The optimization process is supported by a statistical surrogate model, which allows a large reduction of runtime. An earlier version of this framework was only suitable for electric motor optimization. In the application presented in a previous paper, the motor of a belt-driven electric drive system was optimized. In this paper, the optimization of the same drive system is shown, but now with a combined optimization of a gear drive and motor. The objective functions of optimization are minimizing the total loss energy and the weight of the drive system. The optimization results are compared with previous results to demonstrate the further potential of joint optimization. Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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Review

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24 pages, 4249 KiB  
Review
Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications
by Razan Issa, Guy Clerc, Malorie Hologne-Carpentier, Ryan Michaud, Eric Lorca, Christophe Magnette and Anes Messadi
Energies 2024, 17(11), 2728; https://doi.org/10.3390/en17112728 - 4 Jun 2024
Viewed by 472
Abstract
Induction motors make up approximately 80% of the electric motors in the railway sector due to their robustness, high efficiency, and low maintenance cost. Nevertheless, these motors are subject to failures which can lead to costly downtime and service interruptions. In recent years, [...] Read more.
Induction motors make up approximately 80% of the electric motors in the railway sector due to their robustness, high efficiency, and low maintenance cost. Nevertheless, these motors are subject to failures which can lead to costly downtime and service interruptions. In recent years, there has been a growing interest in developing fault diagnosis systems for railway traction motors using advanced non-invasive detection and data analysis techniques. Implementing these methods in railway applications can prove challenging due to variable speed and low-load operating conditions, as well as the use of inverter-fed motor drives. This comprehensive review paper summarizes general methods of fault diagnosis for induction machines. It details the faults seen in induction motors, the most relevant signals measured for fault detection, the signal processing techniques for fault extraction as well as some classification algorithms for diagnosis purposes. By giving the advantages and drawbacks of each technique, it helps select the appropriate method that could address the challenges of railway applications. Full article
(This article belongs to the Special Issue Advanced Topologies and Control Strategies in Electric Machines and Drives)
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