Optimization of the skew angle of rotor magnetic poles in permanent magnet machines based on the inverse problem method
الملخص
This paper presents optimization of the skew angle of rotor magnetic poles in permanent magnet class of machines. The skew angle optimization is achieved using the gradient based inverse problem methodology. The paper introduces the armature winding flux linkages and associated induced emfs for the first time as the object function. In the mean time, this object function involves the use of stored energy and excitation perturbation techniques. An example 1.2 hp permanent magnet brushless dc machine is used to demonstrate the validity and usefulness of the method.
المجموعات
- الهندسة الكهربائية [2685 items ]
وثائق ذات صلة
عرض الوثائق المتصلة بواسطة: العنوان، المؤلف، المنشئ والموضوع.
-
Synthesis of Podlike Magnetic Mesoporous Silica Nanochains for Use as Enzyme Support and Nanostirrer in Biocatalysis
Zhang, Tong; Huang, Biaotong; Elzatahry, Ahmed A.; Alghamdi, Abdulaziz; Yue, Qin; Deng, Yonghui... more authors ... less authors ( American Chemical Society , 2020 , Article)Magnetic mesoporous materials have attracted great interest due to their combined property of magnetic nanomaterials and mesoporous materials as well as their potential applications in catalysis, bioenrichment, drug delivery, ... -
Structural and magnetic studies of La2BMnO6 (B=Ni and Co) nanoparticles prepared by microwave sintering approach
P., Reddy M.; A., Shakoor R.; A., Mohamed A. M. ( Elsevier Ltd , 2016 , Article)Double perovskite La2BMnO6 (B=Ni and Co) nanoparticles were successfully synthesized by microwave sintering approach (MWS). The crystal structure properties of LBMO nanoparticles were systematically investigated using X-ray ... -
Enhanced block-sparse adaptive Bayesian algorithm based control strategy of superconducting magnetic energy storage units for wind farms power ripple minimization
Hasanien, H. M.; Turky, R. A.; Tostado-Veliz, M.; Muyeen, S.M.; Jurado, F. ( Elsevier Ltd , 2022 , Article)This article presents a novel enhanced block-sparse adaptive Bayesian algorithm (EBSABA) to fully control proportional-integral (PI) controllers of superconducting magnetic energy storage (SMES) units. The main goal is to ...