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Electronics
Special Issues
Control and Optimization of Power Converters and Drives
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Control and Optimization of Power Converters and Drives

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

Deadline for manuscript submissions: 15 June 2024 | Viewed by 2163

Special Issue Editors

Dr. Qiao Zhang

E-Mail Website
Guest Editor
School of Automation, Wuhan University of Technology, Wuhan 430070, China
Interests: power converters; motor drive; control optimization
Dr. Run Min

E-Mail Website
Guest Editor
School of Integrated Circuit, Huazhong University of Science and Technology, Wuhan 430070, China
Interests: power electronics; model predictive control; PoL power supply

Special Issue Information

Dear Colleagues,

With the booming development of electric vehicles, data centers, cloud computing, and artificial intelligence, the demand for high-performance power supplies and power inverters is increasing rapidly. Meanwhile, strict requirements are placed on the performance of power converters and inverters. First, the ever-increasing use of power electronics in high-tech applications requires non-conventional solutions to increase efficiency, as well to allow stronger integration of the various components that form power electronic systems. Second, the dynamic power demands of modern devices continue to increase, posing strict requirements on the transient response of power converters and inverters. Managing transient behavior and analyzing stability in complex systems is still challenging, and numerous research efforts have been made towards addressing these, ranging from wide-bandgap semiconductor devices and power converter topologies to converter/system modeling and control strategies. Nevertheless, many interesting aspects still require more investigation.

This Special Issue is devoted to identifying the technical barriers and latest progress in high-performance power electronics systems. Original research articles and reviews are welcome addressing topics such as (but not limited to) the following:

  • High-frequency power converters;
  • Switch capacitor converters;
  • WBG devices in power electronic converters;
  • Gate driver and device protection;
  • Modeling methodologies for high-frequency converters, including dynamical modeling and accurate power loss characterization;
  • Control optimization for power electronic converters;
  • Advanced control in motor drive;
  • PMSM design optimization.

Dr. Qiao Zhang
Dr. Run Min
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

  • power converter
  • DC-DC
  • DC-AC
  • AC-DC
  • motor drive
  • gate driver
  • control optimization
  • modeling

Published Papers (4 papers)

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Research

16 pages, 6041 KiB  
Article
Fractional-Order Least-Mean-Square-Based Active Control for an Electro–Hydraulic Composite Engine Mounts
by Lida Wang, Rongjun Ding, Kan Liu, Jun Yang, Xingwu Ding and Renping Li
Electronics 2024, 13(10), 1974; https://doi.org/10.3390/electronics13101974 - 17 May 2024
Viewed by 260
Abstract
For the vibration of automobile powertrain, this paper designs electro–hydraulic composite engine mounts. Subsequently, the dynamic characteristics of the hydraulic mount and the electromagnetic actuator were analyzed and experimentally studied separately. Due to the strong nonlinearity of the hybrid electromechanical engine mount, a [...] Read more.
For the vibration of automobile powertrain, this paper designs electro–hydraulic composite engine mounts. Subsequently, the dynamic characteristics of the hydraulic mount and the electromagnetic actuator were analyzed and experimentally studied separately. Due to the strong nonlinearity of the hybrid electromechanical engine mount, a Fractional-Order Least-Mean-Square (FGO-LMS) algorithm was proposed to model its secondary path identification. To validate the vibration reduction effect, a rapid control prototype test platform was established, and vibration active control experiments were conducted based on the Multiple–Input Multiple–Output Filter-x Least-Mean-Square (MIMO-FxLMS) algorithm. The results indicate that, under various operating conditions, the vibration transmitted to the chassis from the powertrain was significantly suppressed. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters and Drives)
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19 pages, 10133 KiB  
Article
Research on the Identification of Nonlinear Wheel–Rail Adhesion Characteristics Model Parameters in Electric Traction System Based on the Improved TLBO Algorithm
by Weiwei Gan, Xufeng Zhao, Dong Wei, Zhonghao Bai, Rongjun Ding, Kan Liu and Xueming Li
Electronics 2024, 13(9), 1789; https://doi.org/10.3390/electronics13091789 - 6 May 2024
Viewed by 377
Abstract
The wheel–rail adhesion is one of the key factors limiting the traction performance of railway vehicles. To meet the adhesion optimization needs and rapidly obtain wheel–rail creep characteristics under specific operating conditions, an engineering identification method for wheel–rail adhesion characteristics based on a [...] Read more.
The wheel–rail adhesion is one of the key factors limiting the traction performance of railway vehicles. To meet the adhesion optimization needs and rapidly obtain wheel–rail creep characteristics under specific operating conditions, an engineering identification method for wheel–rail adhesion characteristics based on a nonlinear model is proposed. The proposed method, built upon the traditional Teaching-Learning-Based Optimization (TLBO) algorithm, has been adapted to the specific nature of nonlinear wheel–rail adhesion model parameters identification, enhancing both the search speed in the early stages and the search accuracy in the later stages of the algorithm. The proposed identification algorithm is validated using experimental data from the South African 22E dual-flow locomotive. The validation results demonstrate that the proposed identification algorithm can obtain a nonlinear wheel–rail adhesion characteristics model with an average adhesion coefficient error of around 0.01 within 50 iteration steps. These validation results indicate promising prospects for the engineering practice of the proposed algorithm. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters and Drives)
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17 pages, 2774 KiB  
Article
Parameter Identification for Maximum Torque per Ampere Control of Permanent Magnet Synchronous Machines under Magnetic Saturation
by Mingyu Yan, Bisheng Wen, Qing Cui and Xiaoyan Peng
Electronics 2024, 13(4), 699; https://doi.org/10.3390/electronics13040699 - 8 Feb 2024
Cited by 1 | Viewed by 608
Abstract
This paper applies the identified parameters of permanent magnet synchronous machines (PMSMs) for the maximum torque per ampere control (MTPA) under magnetic saturation. The variation in magnet flux with current is determined using a position offset approach while the variation in q-axis [...] Read more.
This paper applies the identified parameters of permanent magnet synchronous machines (PMSMs) for the maximum torque per ampere control (MTPA) under magnetic saturation. The variation in magnet flux with current is determined using a position offset approach while the variation in q-axis inductance with the current is estimated from the d-axis voltage equation afterward. In addition, the d-axis inductance is estimated at standstill by the injection of a small amplitude of high frequency d-axis current. The curve-fitted results of estimated parameters under different saturation conditions are then employed to aid the derivation of MTPA control law. The proposed method is experimentally verified on two prototype PMSMs. Experimental results show that compared with conventional MTPA schemes using fixed values of magnetic parameters, the proposed method can increase maximum output torque by 2.1% and 3.2% on two prototype PMSMs, respectively. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters and Drives)
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22 pages, 18510 KiB  
Article
A Transient Event-Capturing Circuit and Adaptive PI Control for a Voltage Mode Superbuck Converter
by Yinyu Wang, Baoqiang Huang, Yuanxun Wang, Haoran Xu, Desheng Zhang and Qiaoling Tong
Electronics 2024, 13(1), 107; https://doi.org/10.3390/electronics13010107 - 26 Dec 2023
Viewed by 580
Abstract
This paper proposes a transient event-capturing circuit and adaptive PI control to monitor and improve the transient response of a superbuck converter. The transient event-capturing circuit is composed of coupling and capturing circuits. The coupling circuit converts the output voltage to the sensed [...] Read more.
This paper proposes a transient event-capturing circuit and adaptive PI control to monitor and improve the transient response of a superbuck converter. The transient event-capturing circuit is composed of coupling and capturing circuits. The coupling circuit converts the output voltage to the sensed voltage, whereas the DC and ripple components are eliminated. By counting the up-crossing and down-crossing numbers of the sensed voltage, the capturing circuit classifies the output voltage response into different transient events according to oscillation cycles. The transient events carry the stability information that can be used to adjust the bandwidth and phase margin. Finally, an adaptive PI controller is implemented with the proposed transient event-capturing circuit to improve the stability and transient response. Experimental results of the 100 W superbuck converter verify the effectiveness of the adaptive PI controller for improving the transient response and stability. The adaptive PI controller eliminates the oscillations due to deviated parameters and operating conditions. The maximum oscillation amplitude is reduced from 2 V to 400 mV at the reference voltage change. Full article
(This article belongs to the Special Issue Control and Optimization of Power Converters and Drives)
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