UPM Institutional Repository

Computation of magnetic characteristics for the double rotor switched reluctance motor using flux tube analysis.


Citation

Vaithilingam, Chockalingam Aravind and Misron, Norhisam and Raja Othman, Raja Nor Firdaus Kashfi and Aris, Ishak and Marhaban, Mohammad Hamiruce and Nirei, Masami (2012) Computation of magnetic characteristics for the double rotor switched reluctance motor using flux tube analysis. In: The 2012 Asia-Pacific Symposium on Applied Electromagnetics & Mechanics , 25-27 Jul. 2012, Ho Chi Minh, Vietnam. . (Unpublished)

Abstract

The introduction of the oscillatory torque inside the reluctance machine during its operation with the reduction the air-gap length is a major tumble it as a high torque density machine. A double rotor structure that embeds the dual air gap structure to maximize the flux linkage and thereby the torque generating capability is proposed. For efficient operation the machine needs to operate close to saturation, and hence the estimation of magnetic and mechanical parameters is extremely cumbersome. Electromagnetic analysis of different positions on the machine to develop the flux linkage characteristics of the double rotor structure is presented. Pertaining equations of calculations for the magnetic components of the full overlap, partial overlap and full non-overlap positions are presented. The mechanical torque characteristics obtained from this analytical computation method is compared with that of the finite element analysis. The proposed technique of electromagnetic analysis can be applied to any type of electrical machine.


Download File

[img] PDF
ID 27307.pdf
Restricted to Repository staff only

Download (325kB)

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Notes: Full text are available at Special Collection Division Office
Keywords: Reluctance machine; Double rotor.
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 28 Feb 2014 10:08
Last Modified: 22 Sep 2014 14:35
URI: http://psasir.upm.edu.my/id/eprint/27307
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item