2011 IEEE Energy Conversion Congress and Exposition 2011
DOI: 10.1109/ecce.2011.6064187
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Induction motor design methodology based on rotor diameter progressive growth

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Cited by 8 publications
(8 citation statements)
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“…Then, the motor is modeled and some of its dimensions are slightly varied taking advantage of electromagnetic transient analyses provided by Finite Element Method. The authors in [15], [12], [6], [8], [25] as well as the authors of this study agree that use of FEA should be to investigate the effectiveness of a motor geometry obtained by means of other suitable design tools less expensive from computation cost and time point of view, and then, FEA would be used solely as optimization tool .…”
Section: Fig 3 Objective Functions A) Torque Optimization B) Volumementioning
confidence: 67%
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“…Then, the motor is modeled and some of its dimensions are slightly varied taking advantage of electromagnetic transient analyses provided by Finite Element Method. The authors in [15], [12], [6], [8], [25] as well as the authors of this study agree that use of FEA should be to investigate the effectiveness of a motor geometry obtained by means of other suitable design tools less expensive from computation cost and time point of view, and then, FEA would be used solely as optimization tool .…”
Section: Fig 3 Objective Functions A) Torque Optimization B) Volumementioning
confidence: 67%
“…Every generation the algorithm selects a set of values for each geometry, and those individuals are validated according to (1) -(4), which are dependent on stator and rotor flux densities [20], [21], [15].…”
Section: Implementation Of De Algorithm In Designing Inverter-drimentioning
confidence: 99%
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“…Further, there are various motor types developed addressing different requirements. Among them, the induction motor (IM) has been deployed in many situations from early days due to its lower cost and ease of handling [3,4]. However, the permanent magnet synchronous motor (PMSM) has been gaining attention for its high performance in terms of efficiency, controllability and torque density even though it is relatively costly [5,6].…”
Section: Predictive Controlmentioning
confidence: 99%
“…Boglietti ve arkadaşları çalışmalarında asenkron motorun tasarım aşamalarını adım adım özetlemişlerdir. Hedeflenen moment değerini elde edinceye kadar rotor çapını artırmak suretiyle tasarım aşamalarını gerçekleştirmişlerdir [5]. Ortega yüksek lisans çalışmasında 55 kW' lık asenkron motoru Diferansiyel Gelişim Algoritması kullanarak motorun optimizasyonunu gerçekleştirmiştir [6].…”
Section: Gi̇ri̇ş (Introduction)unclassified