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http://dx.doi.org/10.5370/JEET.2009.4.3.365

Inverse Problem Methodology for Parameter Identification of a Separately Excited DC Motor  

Hadef, Mounir (LAMEL Laboratory, University of Jijel)
Mekideche, Mohamed Rachid (LAMEL Laboratory, University of Jijel)
Publication Information
Journal of Electrical Engineering and Technology / v.4, no.3, 2009 , pp. 365-369 More about this Journal
Abstract
Identification is considered to be among the main applications of inverse theory and its objective for a given physical system is to use data which is easily observable, to infer some of the geometric parameters which are not directly observable. In this paper, a parameter identification method using inverse problem methodology is proposed. The minimisation of the objective function with respect to the desired vector of design parameters is the most important procedure in solving the inverse problem. The conjugate gradient method is used to determine the unknown parameters, and Tikhonov's regularization method is then used to replace the original ill-posed problem with a well-posed problem. The simulation and experimental results are presented and compared.
Keywords
Identification; inverse problem; optimization; separately excited dc motor; conjugate gradient method;
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