Genetic Algorithm and Fuzzy Based on The Taguchi Optimization to Improve The Torque Behavior of An Outer-Rotor Permanent-Magnet Machine

Yusuf ÖZOĞLU

Makale detayları

Genetic Algorithm and Fuzzy Based on The Taguchi Optimization to Improve The Torque Behavior of An Outer-Rotor Permanent-Magnet Machine

Yazarlar:

Yusuf ÖZOĞLU

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2018 Vol.31 Issue 1, pp.82-98

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000428253

eISSN:

2147-1762

Özet:

 
















The torque behavior of
an outer-rotor surface-mounted permanent-magnet machine is improved by
identifying seven pertinent design variables, including rotor height. The
optimal design variables are revealed by analyzing 18 experiments determined by
the Taguchi method for the minimum torque ripple, minimum total harmonic
distortion of the induced voltage, and maximum average torque. In addition, the
optimal design variables are obtained very quickly by using fuzzy inference mechanism
and genetic algorithm based on the Taguchi method with the single response of the
multi-response performance index instead of multiple responses. A considerable
amount of multi-response improvement is achieved according to the results of the
two optimizations. Performance improvements of 20.3%, 32.8%, and 25.2% are
obtained for the average torque, the torque ripple, and the total harmonic
distortion of the back-EMF, respectively.    

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Makale detayları

Genetic Algorithm and Fuzzy Based on The Taguchi Optimization to Improve The Torque Behavior of An Outer-Rotor Permanent-Magnet Machine

Yazarlar: Yusuf ÖZOĞLU

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2018 Vol.31 Issue 1, pp.82-98

Belge Tipi: Makale

Yayın Tarihi: 2/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000428253

eISSN: 2147-1762

Sayı

Yazarlar:

Yusuf ÖZOĞLU

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2018 Vol.31 Issue 1, pp.82-98

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000428253

eISSN:

2147-1762