article · Greater South Information System · 2023
Advancements in Flux Switching Machine Optimization: Applications and Future Prospects
Chiweta E. Abunike, Ogbonnaya I. Okoro, Ali Far, Sumeet S. Aphale
Cited by 0Open access
Abstract
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.
Cite this paper
Abunike, C. E., Okoro, O. I., Far, A., & Aphale, S. S. (2023). Advancements in Flux Switching Machine Optimization: Applications and Future Prospects. Greater South Information System. https://doi.org/10.60692/rxxbg-an946
Abunike, Chiweta E., et al. “Advancements in Flux Switching Machine Optimization: Applications and Future Prospects.” Greater South Information System, 2023, https://doi.org/10.60692/rxxbg-an946.
Abunike, Chiweta E., Ogbonnaya I. Okoro, Ali Far, and Sumeet S. Aphale. 2023. “Advancements in Flux Switching Machine Optimization: Applications and Future Prospects.” Greater South Information System. https://doi.org/10.60692/rxxbg-an946.
Abunike, C.E. et al. (2023) ‘Advancements in Flux Switching Machine Optimization: Applications and Future Prospects’, Greater South Information System. Available at: https://doi.org/10.60692/rxxbg-an946.
@article{abunike2023advancements,
title = {{Advancements in Flux Switching Machine Optimization: Applications and Future Prospects}},
author = {Abunike, Chiweta E. and Okoro, Ogbonnaya I. and Far, Ali and Aphale, Sumeet S.},
journal = {Greater South Information System},
year = {2023},
doi = {10.60692/rxxbg-an946}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.