Parameter identification of a separately excited dc motor via inverse problem methodology

17Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

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. © TÜBİTAK.

Cite

CITATION STYLE

APA

Hadef, M., & Mekideche, M. R. (2009). Parameter identification of a separately excited dc motor via inverse problem methodology. Turkish Journal of Electrical Engineering and Computer Sciences, 17(2), 99–106. https://doi.org/10.3906/elk-0805-5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free