Power Electronic Converter and Its Control: 2nd Edition
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F3: Power Electronics".
Deadline for manuscript submissions: 17 November 2026
Special Issue Editors
Interests: electrified transportation; power electronic grid; bio-electromagnetic
Special Issues, Collections and Topics in MDPI journals
Interests: model predictive control; traction power systems; modular multilevel converter control
Special Issues, Collections and Topics in MDPI journals
Interests: permanent magnetic motor design; motor insulation; motor system control
Special Issues, Collections and Topics in MDPI journals
Interests: dual active bridge converters; more electric aircraft; motor control
Special Issues, Collections and Topics in MDPI journals
Interests: motor design; deep-sea driving system; system reliability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A Special Issue of Energies, entitled “Power Electronic Converter and Its Control: 2nd Edition”, is now open for submissions. Model predictive control (MPC) for power converters and electrical drives is an advanced control solution that has gained attention in the research community and industry. In particular, MPC utilizes an explicit model of the converter to predict future plant behavior for all feasible switching state configurations and select the optimal input signals based on a user-predefined design criteria that defines the optimal performance of the system. Through this property, the power converters and electrical drives are directly driven using the desired control commands without intervention from a pulse-width modulation block. However, from a practical standpoint, uncertainties, such as unknown physical parameters, unmodeled dynamics, and environmental disturbances, exist in the control process of the described method. Hence, new data-driven robust MPC solutions for power converters and electrical drives are urgently needed. This Special Issue will provide an overview of the most recent advances in the field of advanced model-free predictive controls and their applications.
This Special Issue will share research findings and provide selected contributions on advances in power converters and electrical drives. Potential topics include, but are not limited to, the following:
- Robust predictive control solutions;
- Implementation in issues of MPC (e.g., FPGA, DSP, etc.);
- Data-driven (modeless) predictive control techniques;
- Artificial intelligence in predictive control frame;
- Related predictive control techniques in renewable energy devices or systems.
Dr. Lin Qiu
Dr. Xing Liu
Dr. Jien Ma
Dr. Chunyang Gu
Prof. Dr. Jian Zhang
Dr. Guanlong Jia
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
- robust predictive control solutions
- implementation in issues of MPC
- data-driven (modeless) predictive control techniques
- artificial intelligence in predictive control frame
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Related Special Issue
- Power Electronic Converter and Its Control in Energies (8 articles)
