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Advances in High-Reliability Design, Fault Diagnosis and Fault-Tolerant Control of...
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Advances in High-Reliability Design, Fault Diagnosis and Fault-Tolerant Control of AC Motors

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (15 October 2023) | Viewed by 1998

Special Issue Editors

Dr. Wei Wang

E-Mail Website
Guest Editor
School of Electrical Engineering, Southeast University, Nanjing 210096, China
Interests: motor drives; servo control; fault-tolerant control and fault diagnosis of AC machines; electrified transportation
Dr. Jun Hang

E-Mail Website
Guest Editor
School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Interests: condition monitoring; fault diagnosis and reliability assessment of AC motors

Special Issue Information

Dear Colleagues,

High-reliability operation is vital for applications such as electrified transportation, servo and industry applications. Therefore, high-reliability design, fault diagnosis and fault-tolerant control of AC motors have received increasing attention. The aim of this Special Issue is to encourage scientists to publish their theoretical, simulation and experimental research related to a wide range of topics connected to high-reliability design, fault diagnosis and fault-tolerant control of AC motors, as well as descriptions of the latest solutions in this field. Experts in this field are encouraged to share their latest discoveries in the form of original research papers.

The focuses of this Special Issue include, but are not limited to, the following themes:

  • New trends and solutions in motor drives;
  • High-reliability design of AC motors;
  • Fault diagnosis of AC motors;
  • Fault-tolerant control of AC motors;
  • Vehicle systems;
  • Industry applications;
  • Automotive applications;
  • Servo applications.

It is our pleasure to invite you to submit your original work to our Special Issue. We look forward to receiving your outstanding research.

Dr. Wei Wang
Dr. Jun Hang
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. 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

  • new trends and solutions in motor drives
  • high-reliability design of AC motors
  • fault diagnosis of AC motors
  • fault-tolerant control of AC motors
  • vehicle systems
  • industry applications
  • automotive applications
  • servo applications

Published Papers (2 papers)

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Research

18 pages, 6084 KiB  
Article
Demagnetization Fault Diagnosis of a PMSM for Electric Drilling Tools Using GAF and CNN
by Qingxue Zhang, Junguo Cui, Wensheng Xiao, Lianpeng Mei and Xiaolong Yu
Electronics 2024, 13(1), 189; https://doi.org/10.3390/electronics13010189 - 1 Jan 2024
Viewed by 1023
Abstract
Permanent magnets (PMs) provide high efficiency for synchronous motors used for driving drilling tools. Demagnetization is a special fault that reduces the efficiency of the permanent magnet synchronous motor (PMSM) and thus affects the performance of the drilling tools. Therefore, early detection of [...] Read more.
Permanent magnets (PMs) provide high efficiency for synchronous motors used for driving drilling tools. Demagnetization is a special fault that reduces the efficiency of the permanent magnet synchronous motor (PMSM) and thus affects the performance of the drilling tools. Therefore, early detection of demagnetization is important for safe and efficient operation. However, it is difficult to detect multiple demagnetization types at the same time using traditional fault diagnosis methods, and the recognition accuracy cannot be guaranteed. To solve the above problem, this article proposes a method combining Gramian angular field (GAF) transform and convolutional neural network (CNN) to recognize and classify different types of demagnetization faults based on output torque signal. Firstly, the thermal demagnetization model of PM was obtained by experiments, and the finite element model (FEM) of PMSM for electric drilling tools was established to analyze the torque, back electromotive force (BEMF), and air gap flux density under different demagnetization faults. Then, the acquired one-dimensional torque signals were transformed into two-dimensional gray images based on the GAF method to enhance the fault features. To improve the generalization ability of the CNN, these gray images were augmented through increasing noise. Finally, the CNN structure was designed and trained with a training accuracy of 98.33%, and the effectiveness of the method was verified by the demagnetization fault experiment. The results show that the testing accuracy of the CNN model was 97.41%, indicating the proposed method can diagnose various demagnetization faults effectively, and that it is immune to loads. Full article
(This article belongs to the Special Issue Advances in High-Reliability Design, Fault Diagnosis and Fault-Tolerant Control of AC Motors)
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13 pages, 4262 KiB  
Article
A Fault-Tolerant Control Method for a PMSM Servo Drive System with a Four-Leg Inverter
by Peijuan Cui, Zaiping Zheng, Jie Fu, Qianfan Zhang and Linxue An
Electronics 2023, 12(18), 3857; https://doi.org/10.3390/electronics12183857 - 12 Sep 2023
Cited by 2 | Viewed by 739
Abstract
In this paper, a fault tolerant control method is proposed for a permeant magnet synchronous motor (PMSM) servo drive system with four leg inverters to cope with the open phase fault. As one of common faults in the motor drive system, the open [...] Read more.
In this paper, a fault tolerant control method is proposed for a permeant magnet synchronous motor (PMSM) servo drive system with four leg inverters to cope with the open phase fault. As one of common faults in the motor drive system, the open phase fault will degrade the control performance and efficiency. Even serious damage is caused in some extreme cases. Hence, it is meaningful to realize the fault tolerance of the drive system with open phase fault. The proposed method includes three parts: a torque-producing current calculator, phase voltage determination and voltage distributor. The torque-producing current calculator is designed by taking the third harmonic flux into consideration to calculate the torque-producing current. In the phase voltage determination, it is proved that the third harmonic flux has no influence on the line voltage equation. For healthy operation and fault operation, the voltage requirements in remaining healthy phases are determined based on the line voltages. Finally, two voltage distributors are designed to distributor the phase voltages into remaining inverter leg. The main difference of two voltage distributors is the polarity of two remaining voltage. Compared to the conventional method, the proposed method can reduce the torque ripple under a postfault condition. In addition, the controller structure will not be changed under a pre-fault and postfault condition. The proposed method has been validated by simulated results and experimental results. Full article
(This article belongs to the Special Issue Advances in High-Reliability Design, Fault Diagnosis and Fault-Tolerant Control of AC Motors)
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