Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69895
Title: Determination of machine parameters for internal permanent magnet synchronous motors
Authors: Jabbar, M.A. 
Dong, J.
Liu, Z. 
Keywords: Finite element method
Hopfield neural network
Linear regression
Parameter estimation
Permanent magnet synchronous motors (PMSM)
Issue Date: 2004
Source: 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

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