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PMSM Model Predictive Torque Control Based on Dual-sliding-mode Observer
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Jichao LI, Jian LI, Binbin ZHANG, Chaobo CHEN, Song GAO
Journal of Power Supply | 2025, 23(7) : 229 - 237
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Journal of Power Supply | 2025, 23(7): 229-237
• Electric Machine System and Control •
PMSM Model Predictive Torque Control Based on Dual-sliding-mode Observer
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Jichao LI, Jian LI, Binbin ZHANG, Chaobo CHEN, Song GAO
Affiliations
  • School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China
Published: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.229
Outline
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To address the issue that the conventional model predictive torque control algorithm for a permanent magnet synchronous motor relies on position sensors, a model predictive torque control approach based on a dualsliding-mode observer is proposed. First, to accomplish the sensorless control, the real-time speed in the prediction model is substituted by the observed speed by coupling the back electromotive force sliding-mode observer with the optimized quadrature phase-locked loop. Second, the stator flux sliding-mode observer is used to observe the stator flux, and the observed flux introduces prediction error through feedback correction to obtain the prediction torque and flux with higher accuracy, thus improving the prediction speed and accuracy of the model predictive torque control system. By contrasting the MATLAB/Simulink simulation and experimental platform with the conventional model predictive torque control approach incorporating position sensors, the efficacy and feasibility of the proposed method are confirmed.

Permanent magnet synchronous motor  /  model predictive torque control  /  sensorless control  /  dual-sliding-mode observer  /  quadrature phase-locked loop
李继超, 李健, 张彬彬, 陈超波, 高嵩. 基于双滑模观测器的PMSM模型预测转矩控制. 电源学报, 2025 , 23 (7) : 229 -237 . DOI: 10.13234/j.issn.2095-2805.2025.7.229
Jichao LI, Jian LI, Binbin ZHANG, Chaobo CHEN, Song GAO. PMSM Model Predictive Torque Control Based on Dual-sliding-mode Observer[J]. Journal of Power Supply, 2025 , 23 (7) : 229 -237 . DOI: 10.13234/j.issn.2095-2805.2025.7.229
Funding
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  • National Key Research and Development Plan(2022YFE0123400)
  • Technology Innovation Guidance Program of Shaanxi Province(2022QFY01-16)
  • Xi’an Weiyang District Science and Technology Project(202205)
Appendix
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Year 2025 volume 23 Issue 7
62
5
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.7.229
  • Receive Date：2023-08-22
  • Online Date：2026-10-26
  • Published：2025-11-30
Article Data
Affiliations
History
  • Received：2023-08-22
  • Revised：2023-12-08
  • Accepted：2023-12-29
Funding
National Key Research and Development Plan(2022YFE0123400)
Technology Innovation Guidance Program of Shaanxi Province(2022QFY01-16)
Xi’an Weiyang District Science and Technology Project(202205)
Affiliations
    School of Electronic Information Engineering, Xi’an Technological University, Xi’an 710021, China
References
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Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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