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Energies
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Advanced Synchronous Machines and Drive Technologies
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Advanced Synchronous Machines and Drive Technologies

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

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 3514

Special Issue Editors

Dr. Yuan Xin

E-Mail Website
Guest Editor
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China
Interests: permanent magnet synchronous motor; synchronous motor drive; digital control; model predictive control; multi-phase motor control
Dr. Christopher H.T. Lee

E-Mail Website
Guest Editor
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Interests: electric motor and drives; renewable energy systems; electromechanical propulsion technologies
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Kwok Tong Chau

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: electric vehicle technologies; renewable energy systems; machines and drives; power electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

So far, climate change has been raising the main issues in the world. Most of the countries have pushed corresponding policies to accelerate and scale up action to realize universal access to clean, affordable energy by 2030 and net-zero emissions by 2050. In this case, it is significant to develop electric machines and drive technologies, which contain a series of characteristics in high-power density, high torque density, high tolerant capability, low cost, low torque ripples, and high dynamic response performance.

This Special Issue aims to offer a timely opportunity for academic researchers and industrial engineers to present, discuss, and exchange the latest results and findings of technologies on the electrical machine design, motor control algorithms, sensorless control, parameter identification, and motor drive topologies.

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

  • Model predictive control in motor drives;
  • Digital motor control;
  • Design, modelling, and analysis of electrical machines;
  • New topologies of power electronics;
  • Fault-tolerant electric motor drive systems;
  • Condition monitoring and fault diagnosis;
  • Parameter identification and sensorless control;
  • Multi-phase motor control.

Dr. Yuan Xin
Dr. Christopher Lee
Prof. Dr. K. T. Chau
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 machines
  • motor drives
  • model predictive control
  • digital control
  • multi-phase motor
  • fault-tolerant
  • parameter identification
  • sensorless control

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Published Papers (2 papers)

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Research

14 pages, 4583 KiB  
Article
Enhanced Dual–Vector Model Predictive Control for PMSM Drives Using the Optimal Vector Selection Principle
by Zhen Huang, Qiang Wei, Xuechun Xiao, Yonghong Xia, Marco Rivera and Patrick Wheeler
Energies 2023, 16(22), 7482; https://doi.org/10.3390/en16227482 - 7 Nov 2023
Cited by 1 | Viewed by 1402
Abstract
The Dual–Vector model predictive control (DV–MPC) method can improve the steady–state control performance of motor drives compared to using the single–vector method in one switching cycle. However, this performance enhancement generally increases the computational burden due to the exponential increase in the number [...] Read more.
The Dual–Vector model predictive control (DV–MPC) method can improve the steady–state control performance of motor drives compared to using the single–vector method in one switching cycle. However, this performance enhancement generally increases the computational burden due to the exponential increase in the number of vector selections, lowering the system’s dynamic response. Alternatively, limiting the vector combinations will sacrifice system steady–state performance. To address this issue, this paper proposes an enhanced DV–MPC method that can determine the optimal vector combinations along with their duration time within minimized calculation times. Compared to the existing DV–MPC methods, the proposed enhanced technique can achieve excellent steady–state performance while maintaining a low computational burden. These benefits have been demonstrated in the results from a 2.5k rpm permanent magnet synchronous motor drive. Full article
(This article belongs to the Special Issue Advanced Synchronous Machines and Drive Technologies)
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17 pages, 8332 KiB  
Article
Research on Rotor Loss and Rotor Structure Optimization of Rare Earth Permanent Magnet Synchronous Motors in the Weak Field Area
by Guohui Yang, Hao Wu, Danyang Wang, Peng Zhang, Shuaiqi Jiang and Yang Zhang
Energies 2023, 16(21), 7423; https://doi.org/10.3390/en16217423 - 3 Nov 2023
Viewed by 1427
Abstract
The rotor loss of rare earth permanent magnet synchronous motor (PMSM) affects the efficiency and reliability of the motor and is an important research direction of rare earth permanent magnet synchronous motors. In this paper, the influence of rotational speed on the loss [...] Read more.
The rotor loss of rare earth permanent magnet synchronous motor (PMSM) affects the efficiency and reliability of the motor and is an important research direction of rare earth permanent magnet synchronous motors. In this paper, the influence of rotational speed on the loss of the rotor core and the permanent magnet is analyzed through the analysis of the motor magnetic field and rotor loss calculation. Specifically, with the increase in rotational speed, the weak magnetic current increases, the amplitude of flux density change in the rotor core decreases, and the loss of the rotor core also decreases. The greater the influence of the harmonic current magnetic field on the outside of the rotor, the greater the loss. The core loss on the rotor is mainly distributed on the outside of the rotor. For further engineering applications, this paper analyzes the loss composition of three kinds of motors with different rotor structures and judges the optimal scheme based on the minimum loss. Finally, the correctness of this research is verified by comparing the experimental and simulation results of two kinds of motors with different rotor structures. The research content of this paper can provide a reference for the loss analysis and optimization and rotor structure selection of rare earth permanent magnet synchronous motor rotor design. Full article
(This article belongs to the Special Issue Advanced Synchronous Machines and Drive Technologies)
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