• 中国科技核心期刊
  • JST收录期刊
JIANG Xiao-qi, LIU Wei-ting, WEI Hai-feng, ZHANG Yi. Flux Linkage Observation of Hybrid Permanent Magnet Memory Machine Based on Full-Order State Sliding Mode Observer[J]. Journal of Unmanned Undersea Systems, 2020, 28(2): 194-201. doi: 10.11993/j.issn.2096-3920.2020.02.012
Citation: JIANG Xiao-qi, LIU Wei-ting, WEI Hai-feng, ZHANG Yi. Flux Linkage Observation of Hybrid Permanent Magnet Memory Machine Based on Full-Order State Sliding Mode Observer[J]. Journal of Unmanned Undersea Systems, 2020, 28(2): 194-201. doi: 10.11993/j.issn.2096-3920.2020.02.012

Flux Linkage Observation of Hybrid Permanent Magnet Memory Machine Based on Full-Order State Sliding Mode Observer

doi: 10.11993/j.issn.2096-3920.2020.02.012
  • Received Date: 2019-09-13
  • Rev Recd Date: 2019-10-16
  • Publish Date: 2020-04-30
  • To improve the accuracy of flux linkage observation in on-line tuning of the hybrid permanent magnet memory machine(HPMMM), a hybrid flux linkage observation method of full-order state sliding mode observer is proposed. This method combines a full-order flux linkage observer with the feedback part of the sliding mode to ensure that the current observation converges to the true value. The HPMMM stator current and rotor flux linkage are observed in real time, and the rotor flux linkage observation is obtained with higher precision. The full-order sliding mode observer is applied to the vector control strategy of HPMMM for optimizing the overall control complexity of the system. Simulation shows that, compared with the traditional permanent magnet synchronous motor(PMSM), HPMMM has a wider speed range, smaller direct-axis and quadrature-axis current fluctuation, and faster speed of convergence to actual flux linkage, indicating that the proposed method can further improve the accuracy of the magnetic field orientation by AC pulse during magnetization and demagnetization of HPMMM and enhance the robustness and stability of the system parameters.

     

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