Data-Driven Control of Permanent Magnet Synchronous Motor (PMSM) Drives
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electrical Machines and Drives".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 2080
Special Issue Editors
Interests: control systems; power electronics; grid forming converters; microgrids; mechatronics; motion control; electrical machines
Special Issue Information
Dear Colleagues,
We are excited to announce a new Special Issue in Machines, “Data-Driven Control of Permanent Magnet Synchronous Motor (PMSM) Drives”.
Permanent magnet synchronous motors (PMSMs) are being increasingly used in various applications, such as electric vehicles, wind turbines, robotics, and industrial automation. This Special Issue aims to provide an overview of the latest research and developments regarding the data-driven control technology of PMSM drives.
We seek original research papers covering a wide range of topics, including, but not limited to, the following:
- Data-Driven Predictive Control: Optimization-based and Predictive Control strategies utilizing data-driven approaches for PMSM drives.
- System Identification: Data-driven identification and parameter estimation methods for PMSM systems.
- Adaptive and Learning Control: Adaptive control strategies and machine learning-based approaches utilizing real-time data.
- Reliability and Lifecycle Optimization: Strategies to enhance system robustness, extend the operational lifespan, and improve the overall reliability of PMSM drives.
- Efficiency and Performance Optimization: Data-driven methods aimed at enhancing the overall performance of PMSM systems.
We welcome submissions from researchers, engineers, and practitioners in academia, industry, and government. We look forward to receiving your contributions and making this Special Issue a success.
Dr. Catalin Arghir
Dr. Paolo Gherardo Carlet
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.
