Finite-control-set model predictive control of permanent magnet synchronous motor drive systems—An overview

T Li, X Sun, G Lei, Y Guo, Z Yang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …

Robust design optimization and emerging technologies for electrical machines: Challenges and open problems

T Orosz, A Rassõlkin, A Kallaste, P Arsénio, D Pánek… - Applied Sciences, 2020 - mdpi.com
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical
machines. However, from the mathematical point of view, these problems belong to the most …

Machine learning for design optimization of electromagnetic devices: Recent developments and future directions

Y Li, G Lei, G Bramerdorfer, S Peng, X Sun, J Zhu - Applied Sciences, 2021 - mdpi.com
This paper reviews the recent developments of design optimization methods for
electromagnetic devices, with a focus on machine learning methods. First, the recent …

Torque analysis and dynamic performance improvement of a PMSM for EVs by skew angle optimization

Z Shi, X Sun, Y Cai, Z Yang, G Lei… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a permanent magnet synchronous machine (PMSM) for electric vehicles (EVs)
is studied. Since EVs need to face some low speed road conditions, it is necessary to drive …

Geometry and topology optimization of switched reluctance machines: A review

M Abdalmagid, E Sayed, MH Bakr, A Emadi - IEEE Access, 2022 - ieeexplore.ieee.org
Switched reluctance machines (SRMs) have recently attracted more interest in many
applications due to the volatile prices of rare-earth permanent magnets (PMs) used in …

A comprehensive review of conventional and intelligence-based approaches for the fault diagnosis and condition monitoring of induction motors

RR Kumar, M Andriollo, G Cirrincione, M Cirrincione… - Energies, 2022 - mdpi.com
This review paper looks briefly at conventional approaches and examines the intelligent
means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail …

Alternating current loss of superconductors applied to superconducting electrical machines

H Zhang, Z Wen, F Grilli, K Gyftakis, M Mueller - Energies, 2021 - mdpi.com
Superconductor technology has recently attracted increasing attention in power-generation-
and electrical-propulsion-related domains, as it provides a solution to the limited power …

Review of electromagnetic vibration in electrical machines

X Xu, Q Han, F Chu - Energies, 2018 - mdpi.com
Electrical machines are important devices that convert electric energy into mechanical work
and are widely used in industry and people's life. Undesired vibrations are harmful to their …

[PDF][PDF] Green innovations: Artificial intelligence and sustainable materials in production

SK Lodhi, AY Gill, HK Hussain - BULLET: Jurnal Multidisiplin Ilmu, 2024 - researchgate.net
This study examines the revolutionary potential of integrating artificial intelligence (AI) with
sustainable materials in production through a series of case studies, featuring innovations …

Performance analysis of suspension force and torque in an IBPMSM with V-shaped PMs for flywheel batteries

X Sun, B Su, S Wang, Z Yang, G Lei… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Due to the advantages such as high energy density, high power density, high cyclic life, and
environmentally friendly, the flywheel battery has the potential to solve the problem of …