<p>At zero–low speed, the system delay time will impair the sensorless control performance of permanent magnet synchronous motor. Therefore, a delay time compensation algorithm is proposed under square-wave injection in this paper. The high-frequency response current under stationary reference frame is re-established by the detailed analysis of the system delay time. Then the fitness function of delay time is set up preliminarily. Particle swarm optimization algorithm is used to calculate the minimum fitness function, thereby estimating the delay time. The estimated position compensation angle that the rotor angular frequency multiplies the delay time can be obtained. When the estimated position is compensated, the error of position estimation is reduced and the lag phenomenon of estimated position is alleviated. In addition, the influence of square-wave harmonics on the compensation algorithm is analyzed by Fourier decomposition method, and then the fitness function is optimized, which improves the accuracy of the compensation algorithm. In order to verify the effectiveness of the proposed method, method proposed is verified on the PMSM experimental platform of 2kW.</p>

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Time delay compensation strategy for PMSM sensorless control based on high-frequency square-wave signal injection

  • Hongchang Ding,
  • Xikai Tang,
  • Jinhong Li,
  • Guangwei Liu

摘要

At zero–low speed, the system delay time will impair the sensorless control performance of permanent magnet synchronous motor. Therefore, a delay time compensation algorithm is proposed under square-wave injection in this paper. The high-frequency response current under stationary reference frame is re-established by the detailed analysis of the system delay time. Then the fitness function of delay time is set up preliminarily. Particle swarm optimization algorithm is used to calculate the minimum fitness function, thereby estimating the delay time. The estimated position compensation angle that the rotor angular frequency multiplies the delay time can be obtained. When the estimated position is compensated, the error of position estimation is reduced and the lag phenomenon of estimated position is alleviated. In addition, the influence of square-wave harmonics on the compensation algorithm is analyzed by Fourier decomposition method, and then the fitness function is optimized, which improves the accuracy of the compensation algorithm. In order to verify the effectiveness of the proposed method, method proposed is verified on the PMSM experimental platform of 2kW.