Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines
Arabian Journal for Science and Engineering · Ağustos 2020
YÖKSİS Kayıtları
Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING · 2020 SCI-Expanded
Prof. Dr. MEHMET ÇUNKAŞ →
Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING · 2020 SCI-Expanded
Doç. Dr. MEHMET AKİF ŞAHMAN →
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Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines
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Makale Bilgileri
ISSN2193567X
Yayın TarihiAğustos 2020
Cilt / Sayfa45 · 6751-6767
Scopus ID2-s2.0-85086705051
Özet
This paper aims to provide a smart design to improve the efficiency of surface permanent magnet synchronous motor. An efficient design strategy involving penalty approaches are considered for extracting all the possible parameter combinations and the solutions in the infeasible region. We compare the performance of tree heuristic optimization algorithms and six penalty methods. The heuristic optimization algorithms are: particle swarm optimization, differential search algorithm, and tree seed algorithm. The penalty methods are: three of which are static penalty approaches, two of dynamic penalty approaches, and Deb’s rule. Besides, the optimized motor design is tested with finite element analysis. Two conclusions were drawn from the experiments. First, heuristic algorithms using penalty approaches had significantly better performance compared to standard and popular heuristic algorithms. This emphasizes the importance of using heuristic algorithms with penalty approaches in SPMSM design optimization. Second, the compatibility of design optimization and numerical analysis results are acceptable and highly satisfactory for surface permanent magnet synchronous motor design. According to the analytical design, a 4% improvement in efficiency was achieved with the proposed approach.
Yazarlar (3)
1
Mümtaz Mutluer
2
Mehmet Akif Şahman
3
Mehmet Çunkaş
Anahtar Kelimeler
Constrained optimization
Finite element analysis
Heuristic algorithms
Penalty function
SPMSM
Kurumlar
Necmettin Erbakan Üniversitesi
Meram Turkey
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Arabian Journal for Science and Engineering
Q1
SJR Skoru0,545
H-Index89
ÜlkeGermany
Multidisciplinary (Q1)
Metrikler
22
Atıf
3
Yazar
5
Anahtar Kelime