Tamjis, Mohamad Rom and Mat Hanafiah, Mohd Ariff and Ahmad Aizan, Zulkefle and Ibrahim, Mazree and Syed Salim, Syed Najib and Ab. Ghani, Mohd Ruddin and Ab.Rahman, Puteri Nur Suhaila and S. N. M. Shahril and Ahmed, Dawood Saleem and Mohamed Khairuddin, Mohamed Syafiq Akmal and Baharudin, Zikri Abadi and Abdul Rahman, Ahmad Idil and Zainon, Maslan and Abu Shah, Ismail and Mohd Ibrahim, Imran and Raja Abd Rahman, Raja Roslan and Wan Adnan, Wan Azizun (2016) Permeance based algorithm for computation of flux linkage characteristics of non-linear 6/4 Switched Reluctance Motor (SRM). ARPN Journal of Engineering and Applied Sciences, 11 (14). pp. 8897-8901. ISSN 1819-6608
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Permeance Based Algorithm For Computation Of Flux Linkage Characteristics Of Non-Linear 6 4 Switched Reluctance Motor (SRM).pdf Download (239kB) |
Abstract
The concept of permeance is used in the analysis of flux linkage of 6/4 SRM. The aim of this paper is to develop an efficient algorithm exploiting the nonlinear feature of the 6/4 SRM using the aforementioned concept of permeance. The first step is to generate the relevant equations related to permeances of the 6/4 SRM under study. The 6/4 SRM’s magnetization curve is then derived from the summation of mmf drops at various blocks representing the motor. The air gap permeances are derived at various angles and 3-D leakage effects are taken into account. These permeances are used for the mmf drop computation. The algorithm is capable of efficiently computing mmf drop at every block to consequently yield a complete accurate nonlinear flux linkage feature of the 6/4 switched reluctance motor. In this way, the capability of the SRM to produce the expected four times the specific output torque due to operation in high saturation region compared to an equivalent induction motor as special the attribute of the SRM is demonstrated.
Item Type: | Article |
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Uncontrolled Keywords: | Switched reluctance motor, Assumed flux pathway, Energy saving, Environment. |
Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Electrical Engineering |
Depositing User: | Mohd Hannif Jamaludin |
Date Deposited: | 24 Aug 2016 03:41 |
Last Modified: | 06 Jun 2023 13:09 |
URI: | http://eprints.utem.edu.my/id/eprint/17078 |
Statistic Details: | View Download Statistic |
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