Advancements in Flux Switching Machine Optimization: Applications and Future Prospects

被引:5
|
作者
Abunike, Chiweta E. [1 ,2 ]
Okoro, Ogbonnaya I.
Far, Aliakbar Jamshidi [3 ]
Aphale, Sumeet S. [3 ,4 ]
机构
[1] Univ Aberdeen, Sch Engn, Aberdeen AB24 3UE, Aberdeenshire, Scotland
[2] Michael Okpara Univ Agr, Dept Elect Elect Engn, Umudike 440101, Abia, Nigeria
[3] Univ Aberdeen, Aberdeen HVDC Ctr, Sch Engn, Aberdeen AB24 3UE, Aberdeenshire, Scotland
[4] Univ Aberdeen, Sch Engn, Artificial Intelligence Robot & Mechatron Syst Grp, Aberdeen AB24 3UE, Aberdeenshire, Scotland
关键词
Windings; Rotors; Stators; Stator windings; Optimization; Magnetic flux; Torque; Algorithm design and analysis; Design engineering; Electric vehicles; Energy efficiency; Machine learning; Prototypes; Renewable energy sources; Robustness; Algorithms; design optimization; electric machines; electric vehicles; energy efficiency; finite element analysis; machine learning; prototypes; renewable energy sources; robustness; torque; PERMANENT-MAGNET MACHINE; MULTIOBJECTIVE DESIGN OPTIMIZATION; ELECTRIC MACHINES; ELECTROMAGNETIC VIBRATION; SYNCHRONOUS MACHINES; PERFORMANCE ANALYSIS; POWER-GENERATION; PM MACHINES; RARE-EARTH; ROTOR;
D O I
10.1109/ACCESS.2023.3321862
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Flux switching machines play a crucial role in emerging sectors such as renewable energy, electric vehicles, and the aerospace industry. Recent advancements have underscored their potential for achieving high torque density, effective heat management, and flux-weakening capabilities. This paper provides a comprehensive review of the design optimization of these machines, offering a unique contribution, as no previous attempts have delved into a detailed exploration of various optimization techniques specific to this technology. Special attention is given to state-of-the-art technologies related to multi-objective optimization and the performance analysis of the three variants: permanent magnet, wound-field, and hybrid excited. The review highlights and compares several optimization strategies from recent research, revealing research gaps in integrating advanced control algorithms, thermal, vibroacoustic, and structural models into the optimization design process of these machines. Furthermore, this review identifies essential trends in optimization development, offering valuable insights and future perspectives for these machines across diverse applications.
引用
收藏
页码:110910 / 110942
页数:33
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