Parameter Identification of PMSM Based on Windowed Least Square Algorithm

Abstract:

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In this paper, two least square algorithms, Recursive Least Square (RLS) and Windowed Least Square (WLS) are applied to identify the parameters varying with temperature of Permanent Magnet Synchronous Motor (PMSM). In order to compare the identification effects of the two algorithms, a PMSM model is built and simulated in MATLAB. And simulation results demonstrate that WLS guarantees better timeliness and rapidity.

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Edited by:

Wu Fan

Pages:

5940-5944

DOI:

10.4028/www.scientific.net/AMR.383-390.5940

Citation:

S. Wang et al., "Parameter Identification of PMSM Based on Windowed Least Square Algorithm", Advanced Materials Research, Vols. 383-390, pp. 5940-5944, 2012

Online since:

November 2011

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Price:

$35.00

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