Affiliation:
1. Shandong University at Weihai
2. Shandong University
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.
Publisher
Trans Tech Publications, Ltd.
Reference4 articles.
1. Shigeo Morimoto and Akihide Shimmei. Position and Speed Sensorless Control System of Permanent Magnet Synchronous Motor with Parameter Identification,. Electrical Engineering in Japan, Vol. 160, no. 2, (2007).
2. T. Du ,P. Vas. Design and Application of Extended Observers for Joint State and Parameter Estimation in High-performance AC Drives, IEEE Proc. Elec. PowerAppl., Vol. 142, no. 2, pp.71-78, (1995).
3. Zhonghua Pang, Hong Cui. Simulation of System Identification and Adaptive Control in MATLAB. Beijing: BUAA Press, pp.27-28, 2009 (In Chinese).
4. Qingding Guo, Yibiao Sun, Limei Wang. AC Servo System of Modern Permanent Magnet Motor. Beijing: China Electric Power Press, pp.68-70, 2006 (In Chinese).
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