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Research on predictive control strategy of on-line duty cycle modulation based on four wire inverter
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Xingchen Cao1, Longqiang Yi2, Dazhong Ma3
Renewable Energy Resources | 2024, 42(12) : 1670 - 1680
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Renewable Energy Resources | 2024, 42(12): 1670-1680
Research on predictive control strategy of on-line duty cycle modulation based on four wire inverter
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Xingchen Cao1, Longqiang Yi2, Dazhong Ma3
Affiliations
  • 1 State Grid Shijiazhuang Power Supply Company Shijiazhuang 050022 China
  • 2 Kehua Data Co., Ltd. Xiamen 361006 China
  • 3 Collage of Information Science and Engineering Northeast University Shenyang 110006 China
Published: 2024-12-20
Outline
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The fourwire voltage source inverters have become an advisable interfaced converter between the source and loads. However, the switching state of the Finite Control Set Model Predictive control does not change regularly in each cycle, which results in variable switching frequency of the inverter switch and large ripple of the output power. In addition, the direction and size of the inverter output voltage are fixed under the traditional FCSMPC control, which may not reach the boundary within the whole control track. Therefore, this paper proposes an online duty cycle modulation predictive control based on capacitor split four wire inverter. This strategy takes into account the advantages of fast dynamic response of FCSMPC and fixed switching frequency of modulation strategy, so the controller can achieve fixed switching frequency and zero error tracking at low sampling rates.

inverter  /  switching frequency  /  duty cycle  /  minimum tracking error
Xingchen Cao, Longqiang Yi, Dazhong Ma. Research on predictive control strategy of on-line duty cycle modulation based on four wire inverter[J]. Renewable Energy Resources, 2024 , 42 (12) : 1670 -1680 .
Year 2024 volume 42 Issue 12
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Article Info
  • Receive Date:2023-05-21
  • Online Date:2025-07-22
  • Published:2024-12-20
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  • Received:2023-05-21
Funding
Affiliations
    1 State Grid Shijiazhuang Power Supply Company Shijiazhuang 050022 China
    2 Kehua Data Co., Ltd. Xiamen 361006 China
    3 Collage of Information Science and Engineering Northeast University Shenyang 110006 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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种数
Number of
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Percentage of total
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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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