Design and Analysis of Brushless Doubly Fed Induction Machine with 2/6 pole Configuration
Resmi R1, V Vanitha2
1Resmi R, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
2V Vanitha, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore (Tamil Nadu), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1967-1972 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5895058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the recent years, generation of electricity with the help of renewable energy sources has gained more importance because of the minimal environmental impacts. Brushless Doubly Fed Induction Machine (BDFIM) is one of the upcoming machines that can be used in wind power generation, especially in offshore wind farms due to the lack of brushes and slip rings which make the system maintenance free. High torque ripple due to the complex structure of BDFIM is the major problem which prevents commercialization of the machine. In this paper, 3.5 kW Brushless Doubly Fed Induction Machine (BDFIM) is designed for 2/6 pole configuration. The analysis is carried out for all modes of operation of BDFIM using ANSYS MAXWELL software, which is an effective tool to design and analyze electrical machines. The different modes of operation are simple induction mode, cascade induction mode and synchronous mode. With the advancement in technologies, the superiority of BDFM over the conventional machines will be proved soon and in few years, these machines will be used in most of the applications.
Keyword: Brushless Doubly Fed Induction Machine (BDFIM), Simple Induction Mode, Cascade Induction Mode, Synchronous Mode.
Scope of the Article: Natural Language Processing and Machine Translation.