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Deadbeat Predictive Control of PMSM Based on Improved Sliding Mode Observer
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Jingtao HUANG  Senior Member, CPSS1, 2, Yanan WANG1, Yihao YANG1, Peng ZHANG3
Journal of Power Supply | 2026, 24(9) : 320 - 330
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Journal of Power Supply | 2026, 24(9): 320-330
• Motor Drives and Control •
Deadbeat Predictive Control of PMSM Based on Improved Sliding Mode Observer
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Jingtao HUANG  Senior Member, CPSS1, 2, Yanan WANG1, Yihao YANG1, Peng ZHANG3
Affiliations
  • 1.Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China
  • 2.Henan Engineering Research Center of Power Electronics Devices and Systems, Luoyang 471023, China
  • 3.China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, China
Published: 2026-09-30 doi: 10.13234/j.issn.2095-2805.2026.9.320
Outline
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Aiming at the degradation of control system performance caused by model prediction errors due to parameter perturbation and model mismatch during the operation of permanent magnet synchronous motor (PMSM), a deadbeat predictive control method based on the improved sliding mode disturbance observer is proposed. First, aiming at the inherent chattering problem in sliding mode control, an adaptive hybrid reaching law for boundary layer based on sign function is designed to achieve smooth crossing at zero point. Then, fuzzy adaptive reasoning rules are designed to adjust the boundary layer width in real time to reduce the steady-state error, taking into account the rapidity of approaching sliding mode surface and chattering suppression, and the stability of the controller is proved. Finally, the feedforward compensation of the prediction model is carried out by using deadbeat current predictive control and fuzzy adaptive sliding mode disturbance observer to improve the robustness of the parameters. The experimental results show that this method can effectively compensate the parameter disturbance when the motor model parameters are mismatched, and the steady-state error is small and the dynamic performance is good.

Permanent magnet synchronous motor (PM SM)  /  model prediction  /  sliding mode disturbance observer  /  fuzzy adaptive  /  hybrid reaching law
黄景涛中国电源学会高级会员, 王亚楠, 杨毅豪, 张鹏. 基于改进滑模观测器的PMSM无差拍预测控制. 电源学报, 2026 , 24 (9) : 320 -330 . DOI: 10.13234/j.issn.2095-2805.2026.9.320
Jingtao HUANG, Yanan WANG, Yihao YANG, Peng ZHANG. Deadbeat Predictive Control of PMSM Based on Improved Sliding Mode Observer[J]. Journal of Power Supply, 2026 , 24 (9) : 320 -330 . DOI: 10.13234/j.issn.2095-2805.2026.9.320
  • Henan Province Science and Technology Research Project(262102241043)
  • Henan Joint Fund for Science and Technology Research and Development Program(245200810017)
Year 2026 volume 24 Issue 9
33
7
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.9.320
  • Receive Date:2024-11-15
  • Online Date:2026-10-29
  • Published:2026-09-30
Article Data
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History
  • Received:2024-11-15
  • Revised:2025-02-16
  • Accepted:2025-03-10
Funding
Henan Province Science and Technology Research Project(262102241043)
Henan Joint Fund for Science and Technology Research and Development Program(245200810017)
Affiliations
    1.Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China
    2.Henan Engineering Research Center of Power Electronics Devices and Systems, Luoyang 471023, China
    3.China Railway Engineering Equipment Group Co., Ltd., Zhengzhou 450016, China
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表12种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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