4.8 Article

Predictive Torque and Stator Flux Control for N*3-Phase PMSM Drives With Parameter Robustness Improvement

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 36, Issue 2, Pages 1970-1983

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3011827

Keywords

Robustness; Torque; Stator windings; Predictive control; Predictive models; Windings; N-segment three-phase permanent magnet synchronous motor (PMSM); parameters mismatch; predictive torque control (PTC); unknown torque disturbance observer

Funding

  1. National Key Research and Development Program of China [2018YFB0606000]
  2. Natural Science Foundation of China [U1934219]
  3. Hunan Provincial Innovation Key Foundation for Postgraduate [CX20190261]
  4. China Scholarship Council [201906130062]

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The article proposes a novel predictive torque and stator flux control method for N-segment three-phase permanent magnet synchronous motors, which effectively eliminates the influence of parameter mismatch on stator flux and torque. The proposed method utilizes robust predictive control algorithms for stator flux and torque loops, achieving excellent simulation and experimental results.
In this article, a novel predictive torque and stator flux control (PTSF) method is proposed for N-segment three-phase permanent magnet synchronous motor (N*3-phase PMSM), which can effectively eliminate the influence of parameter mismatch on stator flux and torque. The proposed PTSF method has two loops, stator flux loop and torque loop, both implemented with robust predictive control algorithm. First, the stator flux predictive controller with parameter robustness is designed, and the sensitivity of its parameters is analyzed. In the dq stator flux space, the robust stator flux predictive control with one-step delay compensation is then proposed, which can effectively enhance robustness against parameters mismatch. Moreover, the robust torque predictive control based on unknown torque disturbance observer is developed, which can effectively strengthen the robustness against the load torque disturbance and parameter mismatch. Finally, the validity and feasibility of the proposed PTSF method are verified by simulation and experiment. Excellent simulation and experimental results were achieved with respect to the stator flux tracking error, torque /flux ripple reduction, and stator current distortion over conventional predictive torque control.

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