Composite and Adaptive Sliding Mode Control Schemes for Electrical Machines
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 1948
Special Issue Editors
Interests: analysis and design of intelligent energy conversion system
Special Issue Information
Dear Colleagues,
The robust control of electrical machines have achieved rapid development and been widely used in many applications, such as in assistance, manufacturing, electric vehicles, renewable energy applications, etc. The types of electrical machines include synchronous machines, permanent-magnet machines, interior permanent-magnet synchronous machines, synchronous reluctance machine, permanent-magnet flux-switching machines, linear machines, induction machines, permanent-magnet vernier machines, etc. The rapid development of the market has put forward higher requirements for robust control of these machines. Over the past few decades, there have been numerous advancements in the robust control schemes like sliding mode control, model predictive control, intelligent control, adaptive control, etc. However, several new challenges still exist which require innovative techniques and solutions. The adaptiveness and autonomy of sliding mode controllers are not fully exploited in the current industrial systems. Therefore, we are seeking more advanced sliding mode control approaches to promote the applications of machines in industry and academia.
The main objective of this Special Issue is to bring together researchers from both the academia and industry areas to present recent advancements and challenges in the field of sliding mode control for electrical machines in various applications using artificial intelligence algorithms like artificial neural networks, fuzzy control theory and deep reinforcement learning methods, model predictive control algorithms, , adaptive control methods, high order control methods and other composite control structures.
This Special Issue is meant to cover topics related to mathematical modeling, machine learning, artificial intelligence, optimization, and numerical methods aiming at improving the performance of both integer and fractional order sliding mode control schemes for electrical machines.
Dr. Irfan Sami
Dr. Jong-Suk Ro
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
- sliding mode control
- fractional order sliding mode control
- artificial intelligence
- fuzzy logic control
- optimization
