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Robust Predictive Control of PMSG Based on Noise Suppression
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Yuntao MIAO1, Chengxian WANG1, Junda LI2, Jiateng GU2, Zhenbin ZHANG2
Electric Drive | 2025, 55(6) : 45 - 55
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Electric Drive | 2025, 55(6): 45-55
Robust Predictive Control of PMSG Based on Noise Suppression
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Yuntao MIAO1, Chengxian WANG1, Junda LI2, Jiateng GU2, Zhenbin ZHANG2
Affiliations
  • 1 Wind Power Equipment Research Institute，CRRC Shandong Wind Power Co.，Ltd.，Jinan 250022，Shandong，China
  • 2 School of Electrical Engineering，Shandong University，Jinan 250061，Shandong，China
Published: 2025-06-20 doi: 10.19457/j.1001-2095.dqcd25564
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Model predictive control （MPC） is an effective control strategy for permanent magnet synchronous generators （PMSG） due to its fast dynamic response and multi-objective optimization capabilities. However，MPC relies on accurate system models and sensor measurements. In practical conditions，parameter mismatch caused by PMSG parameter variations and sensor measurement noise can deteriorate the control performance of MPC. Robust predictive control based on extended state observer （ESO） can effectively deal with parameter mismatch. However，a single-gain ESO is difficult to balance parameter mismatch and measurement noise disturbance. Therefore，a robust predictive control method based on hybrid cascade parallel ESO （CPESO）was proposed，which used multiple sub-ESOs in series and parallel to weight system disturbances and observed values for noise suppression. This method can effectively balance parameter mismatch and measurement noise suppression. Finally，under conditions with parameter mismatch and measurement noise，experiments were conducted on a three-level PMSG test bench to verify the effectiveness of the proposed method.

permanent magnet synchronous generator （PMSG）  /  model predictive control （MPC）  /  noise suppression  /  disturbance rejection  /  robust control
Yuntao MIAO, Chengxian WANG, Junda LI, Jiateng GU, Zhenbin ZHANG. Robust Predictive Control of PMSG Based on Noise Suppression[J]. Electric Drive, 2025 , 55 (6) : 45 -55 . DOI: 10.19457/j.1001-2095.dqcd25564
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Year 2025 volume 55 Issue 6
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Article Info
doi: 10.19457/j.1001-2095.dqcd25564
  • Receive Date：2023-12-19
  • Online Date：2025-10-30
  • Published：2025-06-20
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History
  • Received：2023-12-19
  • Revised：2024-02-02
Affiliations
    1 Wind Power Equipment Research Institute，CRRC Shandong Wind Power Co.，Ltd.，Jinan 250022，Shandong，China
    2 School of Electrical Engineering，Shandong University，Jinan 250061，Shandong，China
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