Paper Title:
Parameter Identification of PMSM Based on Windowed Least Square Algorithm
  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.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 23: Meso/Micro Manufacturing Equipment and Processes
Edited by
Wu Fan
Pages
5940-5944
DOI
10.4028/www.scientific.net/AMR.383-390.5940
Citation
S. Wang, R. J. Zhao, W. M. Chen, G. D. Li, C. Liu, "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
$32.00
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