AN EFFICIENT NUMERICAL SCHEME FOR STATIC TORQUE PROFILING OF SWITCHED RELUCTANCE MACHINE WITH EXPERIMENTAL VALIDATIO

Author:

Mahar Sanam Rehman

Abstract

In AC and DC drives, the use of switched reluctance machine (SRM) is becoming popular as it has a few preferences over AC and DC drives in a simple and robust construction without brushes, low inertia, and high torque to weight ratio, without rotor windings, simple circuit power converter, etc. SRM is widely used in variable speed and servo drives. Because of the double saliency structure and the high nonlinearity of magnetic material, it is difficult to represent the flux-linkage and static torque characteristic of the SRM. This work promotes the use of an improved numerical integration scheme for the static characteristics of SRM. The static torque function that depends on the rotor position and the phase current of the flux linkage features family (for different rotor positions) is improved in the proposed work. Firstly, we use an experimental setup for the electromagnetic characteristic of SRM. Then, we use the improved scheme to develop an efficient mathematical model for static characteristics and finally simulate the static characteristic of SRM through MATLAB code. In the last step, we compare the performance of the proposed integrator model with an existing approach for better efficiency of the static characteristic of SRM with experimental validation.

Publisher

Journal of Mechanics of Continua and Mathematical Sciences

Subject

General Medicine

Reference24 articles.

1. I. A. A. Memon (2012). Prediction of compound losses in a switched reluctance machine and inverter (Doctoral dissertation) University of Leeds (School of Electronic and Electrical Engineering), http://lib.leeds.ac.uk/record=b3231863.

2. A simplified flux linkage characteristics model of switched reluctance machine;Ahmad;In 2016 IEEE International Conference Power Electronics Drives and Energy Systems (PEDES) (pp,2016

3. Enhancing the flux estimation;Arias;Electric power systems research,2013

4. IV. Charles V. Jones, "The Unified Theory of Electrical Machines", London, 1967.

5. Computer-based automated test measurement system for determining magnetization characteristics of switched reluctance motors;Cheok;IEEE Transactions on Instrumentation and Measurement,2001

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3