Please use this identifier to cite or link to this item:
|Title:||Determination of machine parameters for internal permanent magnet synchronous motors||Authors:||Jabbar, M.A.
|Keywords:||Finite element method
Hopfield neural network
Permanent magnet synchronous motors (PMSM)
|Issue Date:||2004||Citation:||Jabbar, M.A.,Dong, J.,Liu, Z. (2004). Determination of machine parameters for internal permanent magnet synchronous motors. IEE Conference Publication 2 : 805-810. ScholarBank@NUS Repository.||Abstract:||Experimental methods used recently by many researchers for the determination of PMSM parameters have been reviewed. Analysis and experimentations show many shortcomings and inaccuracies involved in those methods. Two novel techniques for better results through the application of linear regression and neural network are presented, and the results from these methods are also included. In addition, computational design values obtained by finite element computations are also compared to the experimental values. © 2004 The Institution of Electrical Engineers.||Source Title:||IEE Conference Publication||URI:||http://scholarbank.nus.edu.sg/handle/10635/69895||ISSN:||05379989|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 30, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.