Results 31 to 40 of about 1,700 (233)

A vibration reduction method based on smooth voltage PWM control of switched reluctance machines

Energy Reports, 2022
At the beginning of the demagnetization instant of Switched Reluctance Machines (SRMs), the terminal voltage of the phase winding varies from the positive value of power supply to its negative with a sudden change. And this produces a high change rate of
Man Zhang, Hongqin Xie, Weihao Hu, Jian Li, Qi Huang, Rongchuan Zhou   +5 more
doaj   +1 more source

RESEARCH AND DEVELOPMENT OF AN ELECTRIC TRACTION DRIVE BASED ON A SWITCHED RELUCTANCE MOTOR [PDF]

Transport Problems, 2018
In the most developed countries, intensive studies are being carried out to utilize various types of electric machines such as synchronous motors with permanent magnets and traction motors with non-traditional magnetic systems on traction electric drives.
Serhii BURIAKOVSKYI, Artem MASLII, Olga PASKO, Ihor DENYS   +3 more
doaj   +1 more source

A Review of the Power Converter Interfaces for Switched Reluctance Machines

Energies, 2020
The use of power electronic converters is essential for the operation of Switched Reluctance Machines (SRMs). Many topologies and structures have been developed over the last years considering several specific applications for this kind of machine ...
Vitor Fernão Pires, Armando José Pires, Armando Cordeiro, Daniel Foito   +3 more
doaj   +1 more source

Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines

Energies, 2017
This paper investigates a distributed, coordinated motion control network based on multiple direct-drive, linear switched reluctance machines (LSRMs). A hierarchical, two-level synchronization control strategy is proposed for the four LSRMs based motion ...
Bo Zhang, Jianping Yuan, Jianjun Luo, Xiaoyu Wu, Li Qiu, J.F. Pan   +5 more
doaj   +1 more source

Four-quadrant force control with minimal ripple for linear switched reluctance machines

CES Transactions on Electrical Machines and Systems, 2020
Linear switch reluctance machine (LSRM) has been tried to act as an alternative generator for direct drive linear wave energy converter (WEC). Many researchers have proposed new topologies of LSRM to improve the power density, efficiency and reliability.
Xuanrui Huang, Zechuan Lin, Xi Xiao
doaj   +1 more source

DESIGN EVALUATIONS OF DOUBLE ROTOR SWITCHED RELUCTANCE MACHINE [PDF]

Journal of Engineering Science and Technology, 2016
The absence of magnets makes the reluctance machine typical for low cogging operations with the torque depending on the stator rotor interaction area. The air gap between stator pole and rotor pole gives a huge effect on the reluctance variation.
C.V. ARAVIND, AIMAN SAJA, VIJAYSHANKAR
doaj  

Lumped parameter thermal model for segmental translator linear switched reluctance motor

IET Electric Power Applications, 2023
The segmental translator linear switched reluctance motor (STLSRM) is a special type of linear switched reluctance motor (LSRM) that has more output power than its conventional type. Therefore, it can be a good choice for certain applications.
Milad Golzarzadeh, Hashem Oraee, Babak Ganji   +2 more
doaj   +1 more source

Modelling and control of a variable-speed switched reluctance generator based wind turbine

, 2007
This paper studies the system modelling and control aspects of switched reluctance generator (SRG) based variable speed wind turbines. A control system is implemented to provide proper operation of the SRG as well as power tracking capabilities for ...
McSwiggan, D., Littler, Timothy; id_orcid, D. McSwiggan, Xu, L., T. Littler, Littler, T., L. Xu   +6 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source