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Volume 22 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2014  >  22(6): 452-456
QIAN Xin, WANG Chong-wu, YU Kun-kun, JIANG Zhi-yuan. Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares[J]. Journal of Unmanned Undersea Systems, 2014, 22(6): 452-456. doi: 10.11993/j.issn.1673-1948.2014.06.009
Citation: QIAN Xin, WANG Chong-wu, YU Kun-kun, JIANG Zhi-yuan. Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares[J]. Journal of Unmanned Undersea Systems, 2014, 22(6): 452-456. doi: 10.11993/j.issn.1673-1948.2014.06.009
shu

Parameters Identification of Permanent Magnet Synchronous Motor Based on Recursive Least Squares

doi: 10.11993/j.issn.1673-1948.2014.06.009

  • School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China

  • Received Date: 2014-09-02
  • Rev Recd Date: 2014-09-22
  • Publish Date: 2014-12-20
    Abstract
  • For the change of the electromagnetic parameters of a permanent magnet synchronous motor in running, a steady-state model of permanent magnet synchronous motor is deduced to identify the resistance and inductance of the motor online by means of recursive least squares(RLS). Simulation via Matlab/Simulink demonstrates that the proposed parameters identification method is accurate, reliable and easy to implement, and RLS can track the electromagnetic parameters accurately.

     

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