Optimum geometry for torgue ripple minimization of switched reluctance motors
Anahtarlı relüktans motorlarında moment dalgacıklarını enazlama amaçlı tasarım
- Tez No: 56664
- Danışmanlar: DOÇ. DR. MEHMET KEMAL LEBLEBİCİOĞLU
- Tez Türü: Yüksek Lisans
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 1996
- Dil: İngilizce
- Üniversite: Orta Doğu Teknik Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Elektrik-Elektronik Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 225
Özet
Özet yok.
Özet (Çeviri)
For reducing torque ripple of SR motors two different approaches can be considered. Öne is to pursue a motor geometry which reduces torque ripple, the second is to manipulate motor current to improve performance. The second approach to the problem requires fast and costly microprocessors for control purposes. A number of papers reporting progress in this area exist. in any case, it is desirable to look for an ideal geometry even if following such an approach, further improvement is desireable. Determination of optimum geometry that minimizes torque ripple is extremely difficult and requires the abililty to predict SR motor performance for ali magnetic circuit parameters for a specified operating condition. Partly because of this reason, research in the literatüre concentrates on minimizing torque ripple for a specific üigeometry through shaping of the phase current The research reported in this thesis however presents a more general approach to the problem and inspects the effect of magnetic circuit parameters on the torque ripple \vhfle they are aflovved to vaıy in a \vide range. This is made posable since the authors have access to a set of dimensionless data, and a method vvhich pennits prediction of torque position and permeance position characteristics of a doubly-safient magnetic stracture as a function of exciting MMF for a specified tooth vvidth/tooth pitch (tA,), tooth pitch/airgap length (X/g) and normalized position (K»), in this study, a doübly salient geometry vvhich minimizes torque ripple at low speeds is sought. To simplify the problem at this stage the excitation is assumed to be avaüable vvithout any restriction due to \vinding space. The tools available for this purpose are a finite element field sohıtion program and a set of normalized data as described above. First the accuracy of the finite element program is tested. it is found that atthough accurate resuhs can be obtained, this approach is very lengthy for searching wide range of parameters. Than using the force and permeance data for the same purpose is investigated. A neural network based sofhvare is developed to extract the desired information from the data available. Than the problem of determining the optimum geometry is treated as a mathematical opthmzation problem. The resuhs indicated that irrespective of the excitation level, the optimum points occur for large X/g vahıes (about 250) and for ts/X (stator tooth vvidth/tooth pitch) about 0.4 and VX (rotor tooth vvidth/tooth pitch) about 0.5. To gam a phyâcal insight to the problem various parameters are fbced and variation of torque ripple \vith öne independent variable is also investigated. The resuhs are presented m a table vvhich identifies a range for each parameter vvhere torque ripple is quite near the global minimum.
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