Repository logo
    Info Pages
    Content PolicyCopyright & Access InfoDepositing to MRODeposit LicenseDeposit License SummaryFile FormatsTheses FAQDoctoral Thesis Deposit
    Communities & Collections
    All of MRO
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register using a personal email and password.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Arifin A"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    Item
    A comprehensive simulation platform for switched reluctance generator system
    (World Scientific and Engineering Academy and Society, 2012) Arifin A; Al-Bahadly I; Mukhopadhyay SC; Topalis, FV; Dias, EM
    A Switched Reluctance Generator (SRG) system normally encompasses three main components: SR machine, controller and converter. On-going research on simulation and modelling of SRG system has focused on one component. There is a lack of a more comprehensive approach which integrates all three components into one simulation platform. We have developed a simulation model comprising SR machine, control and converter using MATLAB/Simulink. The main advantage of a simulation model is to reduce time and cost by having to perform changes on the prototype machine. In this paper, the work is focused on developing the optimal control algorithm for the platform. Optimal parameters are identified and characterized in terms of highest percentage of power generated. From simulation, the most influential parameters affecting the power generated are the firing angles and voltage level. So, a function relating the optimized parameter with machine performance was developed. The proposed control technique will provide easy implementation and ensure high machine performance. The effectiveness of the proposed method is demonstrated by simulation results. The work will aid in development of SRG by providing a platform to determine the best generating operation before real implementation, reducing manufacturing time and cost.

Copyright © Massey University  |  DSpace software copyright © 2002-2025 LYRASIS

  • Contact Us
  • Copyright Take Down Request
  • Massey University Privacy Statement
  • Cookie settings
Repository logo COAR Notify