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Fuzzy Adaptive Control Strategy Based on Parameter Optimization of Virtual Synchronous Generator
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Yun-long FENG, Abuduwayiti XIWANG*
Science Technology and Engineering | 2025, 25(14) : 5877 - 5885
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Science Technology and Engineering | 2025, 25(14): 5877-5885
Papers·Electrical Technology
Fuzzy Adaptive Control Strategy Based on Parameter Optimization of Virtual Synchronous Generator
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Yun-long FENG, Abuduwayiti XIWANG*
Affiliations
  • School of Electrical Engineering, Xinjiang University, Urumqi 830049, China
Published: 2025-05-18 doi: 10.12404/j.issn.1671-1815.2404623
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Aiming at the problems of poor disturbance immunity and long dynamic response time of the grid-connected inverter based on VSG(virtual synchronous generator) control, an improved fuzzy adaptive control strategy for VSG was proposed. First, a small-signal model of VSG was established to analyze the effects of virtual inertia and damping coefficient on the dynamic response of the system. Determine the value range of the two parameters and use the sparrow search algorithm to optimize the initial values of inertia and damping in the adaptive strategy. Next, the angular frequency change curve of the system after perturbation was analyzed to refine the design fuzzy rules. Finally, a stand-alone VSG model was built in MATLAB/Simulink to compare the different control strategies. The results show that the fuzzy adaptive strategy proposed in this paper not only improves the response speed of the system, but also has a strong anti-disturbance ability when the command power and load power change suddenly. The effectiveness of this paper's strategy is proved.

virtual synchronous generator  /  sparrow search algorithm  /  virtual inertia  /  damping factor  /  fuzzy adaptive control
Yun-long FENG, Abuduwayiti XIWANG. Fuzzy Adaptive Control Strategy Based on Parameter Optimization of Virtual Synchronous Generator[J]. Science Technology and Engineering, 2025 , 25 (14) : 5877 -5885 . DOI: 10.12404/j.issn.1671-1815.2404623
Year 2025 volume 25 Issue 14
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Article Info
doi: 10.12404/j.issn.1671-1815.2404623
  • Receive Date:2024-06-29
  • Online Date:2025-07-09
  • Published:2025-05-18
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  • Received:2024-06-29
  • Revised:2025-02-25
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    School of Electrical Engineering, Xinjiang University, Urumqi 830049, 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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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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