INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
A major problem in any country is availability of energy source. Energy saving is most important than identifying the new energy sources. Hence continuous energy saving is necessary for all developed countries. Electric motors consumed most of the energy from source. Energy efficient current control methods increases the efficiency of Switched Reluctance Motor (SRM). Comparative analysis of current control methods in Switched Reluctance Motor (SRM) is needed for energy efficient operation. This paper compares the different types of current control methods in 4/2 prototype SRM. Modification of pole arc in stator and rotor current regulation method is best than other control method. The stator pole arc is modified from 32° to 36° and rotor pole arc is modified from 30° to 28°. Hence the useful torque is increased from 4.94 Nm to 5.2 Nm. Based on the analysis; energy efficient control method is identified.
Keywords:
SRM, Current Control methods, Controller, Modification of pole arc, Efficiency, Energy saving.
Cite Article:
"Analysis of Energy Efficient Current Control Methods in Switched Reluctance Motor", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.e551-e556, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307465.pdf
Downloads:
000118763
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn