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<p>To achieve efficient and stable operation of dual three-phase permanent magnet synchronous motors (DTP-PMSM) without position sensor technology across the full-speed domain, an enhanced composite control strategy is proposed. First, the high-frequency square-wave injection method is employed to estimate the rotor position in the zero-to-low-speed domain. Next, the sliding mode observer method is utilized for rotor position estimation in the medium-to-high-speed domain, along with an improved particle swarm optimization (PSO) that seeks optimal parameters for the PI controller in the phase-locked loop (PLL) of the sliding mode observer. This adaptation of system parameters enhances the performance of the DTP-PMSM in dynamic applications. Finally, a modified differential evolutionary (DE) algorithm is applied to optimize the weight coefficients in the transition speed domain, facilitating a smooth switch between the two rotor position observation methods. The results demonstrate that this composite control strategy enables stable operation of the DTP-PMSM throughout the full-speed domain, exhibiting excellent rotor position estimation and speed tracking performance.</p>

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Position sensorless hybrid control strategy for DTP-PMSM in full-speed domain

  • 期刊论文

  • 发表日期：

    2025年7月21日

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  • Kun Xia,
  • Wenchuan Yu,
  • Qingqing Yuan,
  • Jingxia Wang,
  • Jie Zhu

摘要

To achieve efficient and stable operation of dual three-phase permanent magnet synchronous motors (DTP-PMSM) without position sensor technology across the full-speed domain, an enhanced composite control strategy is proposed. First, the high-frequency square-wave injection method is employed to estimate the rotor position in the zero-to-low-speed domain. Next, the sliding mode observer method is utilized for rotor position estimation in the medium-to-high-speed domain, along with an improved particle swarm optimization (PSO) that seeks optimal parameters for the PI controller in the phase-locked loop (PLL) of the sliding mode observer. This adaptation of system parameters enhances the performance of the DTP-PMSM in dynamic applications. Finally, a modified differential evolutionary (DE) algorithm is applied to optimize the weight coefficients in the transition speed domain, facilitating a smooth switch between the two rotor position observation methods. The results demonstrate that this composite control strategy enables stable operation of the DTP-PMSM throughout the full-speed domain, exhibiting excellent rotor position estimation and speed tracking performance.