Algebraic parameters identification of DC motors: methodology and analysis

Autor:	G. Mamani, Vicente Feliu, Jonathan Becedas
Rok vydání:	2010
Předmět:	Electric motor Identification (information) Control and Systems Engineering Control theory Estimation theory Convergence (routing) System identification Estimator Algebraic number DC motor Computer Science Applications Theoretical Computer Science Mathematics
Zdroj:	International Journal of Systems Science. 41:1241-1255
ISSN:	1464-5319 0020-7721
DOI:	10.1080/00207720903244097
Popis:	A fast, non-asymptotic, algebraic parameter identification method is applied to an uncertain DC motor to estimate the uncertain parameters: viscous friction coefficient and inertia. In this work, the methodology is developed and analysed, its convergence, a comparative study between the traditional recursive least square method and the algebraic identification method is carried out, and an analysis of the estimator in a noisy system is presented. Computer simulations were carried out to validate the suitability of the identification algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8e3cb6b306afee90026f3652268923c https://doi.org/10.1080/00207720903244097 Zobrazit plný text záznamu