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Machines
Special Issues
Electrical Machines, Power Electronics, and Motor Drives: Opportunities and Challenges
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Electrical Machines, Power Electronics, and Motor Drives: Opportunities and Challenges

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 2852

Special Issue Editors

Dr. Ningfei Jiao

E-Mail Website
Guest Editor
Department of Electrical Engineering, Northwestern Polytechnical University, Xi’an 710129, China
Interests: integrated starter generator; PMSM; motor drive; fault diagnosis; position-sensorless control
Dr. Ji Pang

E-Mail Website
Guest Editor
Department of Electrical Engineering, Xi’an University of Posts & Telecommunications, Xi’an 710061, China
Interests: PM machines; aircraft starter/generator; motor drives and fault diagnosis

Special Issue Information

Dear Colleagues,

Recently, advanced electrical machines, power electronics, and motor drives are playing more and more important roles in almost all energy conversion applications, including high-end equipment, industrial and household appliances, aerospace application, transportation application, robotics, etc. Higher performance requirements and the harsher operating environment of the aforementioned applications have brought new opportunities and challenges for electrical machines, power electronics, and motor drives, such as higher power density, higher operating efficiency, and higher operating reliability. Aiming at these opportunities and challenges, this Special Issue focuses on gathering and disseminating the latest research and advanced technologies in the field of electrical machines, power electronics, and motor drives, including new theoretical developments, novel topologies, and control methods.

In this Special Issue, original research articles and reviews are welcome. Topics of interest for publication include but are not limited to the following:

  • New topologies of electrical machines and power electronic converters;
  • Multi-physics design and modeling for electrical machines;
  • High power density and high reliability design for electrical machines and power converters;
  • Fault diagnosis and fault-tolerant control for electrical machines, power electronics, and motor drives;
  • Advanced control in power electronics and motor drives;
  • State variable estimation for electrical machines and power electronic converters;
  • Electrical machines, power electronics, and motor drives in special applications.

Dr. Ningfei Jiao
Dr. Ji Pang
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. Machines is an international peer-reviewed open access monthly 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

  • electrical machines
  • power electronic converters
  • motor drives
  • novel topologies
  • high power density
  • high reliability
  • parameter estimation
  • advanced control
  • fault diagnosis
  • fault-tolerant control

Published Papers (2 papers)

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Research

17 pages, 4093 KiB  
Article
Speed Regulation and Optimization of Sensorless System of Permanent Magnet Synchronous Motor
by Yan Zhang, Huacai Lu, Minghu Li and Xiang Liu
Machines 2023, 11(6), 656; https://doi.org/10.3390/machines11060656 - 18 Jun 2023
Viewed by 844
Abstract
Aiming at the problems of speed overshoot, slow convergence and poor anti-interference in the control of permanent-magnet synchronous motors (PMSMs) without a position sensor, a pulse vibration high-frequency signal injection method for a permanent-magnet synchronous motor with an improved sliding mode control was [...] Read more.
Aiming at the problems of speed overshoot, slow convergence and poor anti-interference in the control of permanent-magnet synchronous motors (PMSMs) without a position sensor, a pulse vibration high-frequency signal injection method for a permanent-magnet synchronous motor with an improved sliding mode control was designed. Firstly, the improved approach rate function is combined with the improved non-singular fast terminal sliding mode surface to design the non-singular fast terminal sliding mode controller (NFTSMC), which is used in the speed loop to improve the speed convergence ability and reduce its overshoot. Secondly, in order to eliminate the influence of the band-pass filter on the system bandwidth in the traditional high-frequency injection method, a pulse vibration high-frequency signal injection method that injects high-frequency voltage signals and synchronous current signals into the d^ axis of the estimated two-phase rotation coordinate system d^q^ and the αβ axis of the two-phase stationary coordinate system αβ was designed to estimate the motor position and speed to achieve sensorless control. Finally, the above control strategy was compared with the speed loop PI and the traditional sliding mode controller (SMC) of the speed loop, respectively. The simulation and experimental results show that whether it is a no-load variable speed or fixed speed loading, the above control strategy can effectively reduce the speed overshoot, accelerate the speed convergence and improve the load capacity of the system. Full article
(This article belongs to the Special Issue Electrical Machines, Power Electronics, and Motor Drives: Opportunities and Challenges)
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18 pages, 7275 KiB  
Article
An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation
by Saad Khadar, Almoataz Y. Abdelaziz, Zakaria M. Salem Elbarbary and Mahmoud A. Mossa
Machines 2023, 11(4), 469; https://doi.org/10.3390/machines11040469 - 11 Apr 2023
Cited by 2 | Viewed by 1340
Abstract
This paper introduces a sensorless nonlinear control scheme based on feedback linearization control (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by a dual neutral point clamped (NPC) inverter. The suggested sensorless control is combined with the sliding mode (SM) [...] Read more.
This paper introduces a sensorless nonlinear control scheme based on feedback linearization control (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by a dual neutral point clamped (NPC) inverter. The suggested sensorless control is combined with the sliding mode (SM) controller to improve the dynamic performance (i.e., rising time, overshoot, etc.) of the studied motor. Furthermore, a stator-current-based model reference adaptive system (SC-MRAS) estimator is designed for the estimation of the rotor flux and the motor speed. In parallel, to enhance the robustness of the designed sensorless control against motor parameter changes, an adaptive estimation method is suggested to estimate the rotor and stator resistances during low-speed ranges. The estimation method of motor resistances is associated with the suggested sensorless control to further improve the speed estimation accuracy and minimize the speed estimation error. Finally, the effectiveness and correctness of the suggested control with the examined estimators are validated in real-time implementation using a hardware-in-the-loop (HIL) based on the dSpace 1103 board. Full article
(This article belongs to the Special Issue Electrical Machines, Power Electronics, and Motor Drives: Opportunities and Challenges)
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