Parameter Identification of PMSM Based on Windowed Least Square Algorithm

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 383-390)

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5940-5944

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Online since:

November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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