Design optimization of induction motor by genetic algorithm and comparison with existing motor

Mathematical and Computational Applications · Ocak 2006

YÖKSİS Kayıtları — ISSN Eşleşmesi

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2003 ISSN: 1300-686X EI

Prof. Dr. FATİH BAŞÇİFTÇİ →

Solution Of The System Of Ordinary Differential Equations By Combined Laplace Transform Adomian Decomposition Method

2012 ISSN: 1300-686X MathSciNet

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2011 ISSN: 1300-686X IET-AMS

Dr. Öğr. Üyesi ONUR KARAOĞLU →

https://doi.org/10.3390/mca16020507

The Approximate Solution of High-Order Linear Fractional Differential Equations with Variable Coefficients in Terms of Generalized Taylor Polynomials

2011 ISSN: 1300-686X IET-AMS

Dr. Öğr. Üyesi ONUR KARAOĞLU →

https://doi.org/10.3390/mca16030617

Makale Bilgileri

Dergi Mathematical and Computational Applications

ISSN1300686X

Yayın TarihiOcak 2006

Cilt / Sayfa11 · 193-203

DOI10.3390/mca11020193

Scopus ID2-s2.0-33847715968

Erişim🔓 Açık Erişim

Özet This paper presents an optimal design method to optimize three-phase induction motor in manufacturing process. The optimally designed motor is compared with an existing motor having the same ratings. The Genetic Algorithm is used for optimization and three objective functions namely torque, efficiency, and cost are considered. The motor design procedure consists of a system of non-linear equations, which imposes induction motor characteristics, motor performance, magnetic stresses and thermal limits. Computer simulation results are given to show the effectiveness of the proposed design process. © Association for Scientific Research.