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Dynamic identification of a synchronous machine using an extended sliding mode observer

Author

Listed:
  • Meghnous, A.R.
  • Pham, M.T.
  • Lin-Shi, X.

Abstract

This paper presents two identification methods for permanent magnet synchronous machine based on sliding modes. The first one is a new algorithm obtained from an identification technique based on an extended sliding mode observer and a least square solution using an instrumental variable. The second approach uses a direct identification algorithm using a sliding mode observer. Both techniques are tested in simulation and applied in experimentation on a synchronous motor. A comparison study is done in the aim of enhancing their performances.

Suggested Citation

  • Meghnous, A.R. & Pham, M.T. & Lin-Shi, X., 2013. "Dynamic identification of a synchronous machine using an extended sliding mode observer," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 45-59.
    • Handle: RePEc:eee:matcom:v:90:y:2013:i:c:p:45-59
    DOI: 10.1016/j.matcom.2012.05.020
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    Cited by:

    1. Peng Shao & Xiaozhou Tang & Bo Zheng & Dongyang Li & Shu Chen & Huipin Lin, 2023. "High-Order Sliding Mode Magnetometer for Excitation Fault Detection of Elevator Traction Synchronous Motor under the Background of Industrial Engineering," Sustainability, MDPI, vol. 15(2), pages 1-16, January.

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