MTPA Trajectory Tracking Control for Interior PMSM Based on Adaptive Parameter Identification

نویسندگان

  • Ningzhi Jin
  • Qidan Zhu
  • Zhongmin Zhang
  • Yongqing Zhou
چکیده

For an interior permanent magnet synchronous motor (IPMSM) control system, the actual maximum torque per ampere (MTPA) trajectory may deviate from the ideal one with parameter variances, and thus the system may not obtain the maximum torque output. In view of this problem, a novel parameter identification method based on the model reference adaptive system (MRAS) is proposed in this paper. In this method, the deviations of MTPA trajectories with parameter variances are analyzed and evaluated firstly, and then the q-axis inductance and the rotor flux linkage are identified on-line in a full rank MRAS model according to Popov Hyper Stability Theorem. Finally, the feasibility and validity of the designed method are proved through simulation results.

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تاریخ انتشار 2016