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Model Predictive Control Strategy for Five-phase Induction Motor with Variable Sampling Period
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Huige CHEN1, Shuangling WANG2
Journal of Power Supply | 2024, 22(4) : 318 - 326
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Journal of Power Supply | 2024, 22(4): 318-326
Electric Machine System and Control
Model Predictive Control Strategy for Five-phase Induction Motor with Variable Sampling Period
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Huige CHEN1, Shuangling WANG2
Affiliations
  • 1 Faculty of Engineering Huanghe Science and Technology College Zhengzhou 450001 China
  • 2 Smart Manufacturing Institute Zhengzhou University of Economics and Business Zhengzhou 451191 China
Published: 2024-07-30 doi: 10.13234/j.issn.2095-2805.2024.4.318
Outline
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Aimed at the high harmonic content of a model predictive controller (MPC) without modulation modules, a novel model-based variable sampling period MPC strategy is proposed and applied to a five-phase induction motor drive system. The problem caused by the fixed-discretization of time in the MPC is analyzed, but the introduction of modulation or modulation substitution to solve this problem will increase the complexity of the control system. Therefore, a simpler and more natural idea is adopted. Specifically, the sampling interval is changed based on the pursuit algorithm, and the optimal control action and implementation time are determined by combining with the MPC, thus realizing the variable sampling period MPC strategy. Experiments were carried out using the five-phase induction motor drive system, and experimental results verified the excellent reference tracking and current harmonic performance of the novel variable sampling period MPC.

Model predictive controller (MPC)  /  digital control system  /  variable sampling period  /  pursuit algorithm  /  five-phase induction motor
Huige CHEN, Shuangling WANG. Model Predictive Control Strategy for Five-phase Induction Motor with Variable Sampling Period[J]. Journal of Power Supply, 2024 , 22 (4) : 318 -326 . DOI: 10.13234/j.issn.2095-2805.2024.4.318
  • Henan Provincial Department of Education Project(21B413007)
Year 2024 volume 22 Issue 4
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.4.318
  • Receive Date:2021-09-28
  • Online Date:2025-07-21
  • Published:2024-07-30
Article Data
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History
  • Received:2021-09-28
  • Revised:2021-11-02
  • Accepted:2021-12-20
Funding
Henan Provincial Department of Education Project(21B413007)
Affiliations
    1 Faculty of Engineering Huanghe Science and Technology College Zhengzhou 450001 China
    2 Smart Manufacturing Institute Zhengzhou University of Economics and Business Zhengzhou 451191 China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
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Number of
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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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