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Mixed Current Prediction-based Dead-beat Control for Active Power Filters
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Wei HAN  Member, CPSS1, Yunlu LI2, Lili ZHOU1, Yufang CHEN1, 3
Journal of Power Supply | 2026, 24(7) : 81 - 93
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Journal of Power Supply | 2026, 24(7): 81-93
• Power Converter Modeling and Control •
Mixed Current Prediction-based Dead-beat Control for Active Power Filters
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Wei HAN  Member, CPSS1, Yunlu LI2, Lili ZHOU1, Yufang CHEN1, 3
Affiliations
  • 1.College of Physics and Electronics and Information, Inner Mongolia Minzu University, Tongliao 028000, China
  • 2.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
  • 3.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
Published: 2026-07-30 doi: 10.13234/j.issn.2095-2805.2026.7.81
Outline
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In the process of engineering implementation, the dead-beat current tracking control actually evolves into a one-beat lag control, which leads to the decline of harmonic compensation performance of active power filters. On the basis of analyzing the influence of system delay on digital control, adaptive forward linear prediction and repetitive prediction algorithms are prehensively used to predict the harmonic compensation reference current two sampling times in advance, and discriminant conditions for the switching of the two prediction algorithms are set based on whether the system dynamics occurs. In order to predict the output current of the inverter at one sampling times in advance and effectively suppress the measurement noise, the inverter current prediction link uses both the harmonic reference current to be compensated and the historical data of the output current as inputs. Therefore, the stability of the proposed predictive dead-beat control is analyzed when the output filter inductance and resistance parameters of the main circuit are deviated, and the transmission of current and voltage measurement noise in the system is further analyzed. Finally, simulation and experimental comparison studies on three types of predictive dead-beat control are conducted to verify the effectiveness of the mixed current prediction-based dead-beat control algorithm proposed.

Dead-beat control  /  robust stability  /  noise suppression  /  mixed current prediction  /  hardware in loop test platform
韩伟中国电源学会会员, 李云路, 周立丽, 陈玉芳. 有源电力滤波器混合预测无差拍电流跟踪控制. 电源学报, 2026 , 24 (7) : 81 -93 . DOI: 10.13234/j.issn.2095-2805.2026.7.81
Wei HAN, Yunlu LI, Lili ZHOU, Yufang CHEN. Mixed Current Prediction-based Dead-beat Control for Active Power Filters[J]. Journal of Power Supply, 2026 , 24 (7) : 81 -93 . DOI: 10.13234/j.issn.2095-2805.2026.7.81
  • National Natural Science Foundation of China (NSFC)(51467017)
  • Inner Mongolia Natural Science Foundation(2025LHMS05012)
Year 2026 volume 24 Issue 7
27
4
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.7.81
  • Receive Date:2024-08-12
  • Online Date:2026-10-29
  • Published:2026-07-30
Article Data
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History
  • Received:2024-08-12
  • Revised:2024-10-03
  • Accepted:2024-10-18
Funding
National Natural Science Foundation of China (NSFC)(51467017)
Inner Mongolia Natural Science Foundation(2025LHMS05012)
Affiliations
    1.College of Physics and Electronics and Information, Inner Mongolia Minzu University, Tongliao 028000, China
    2.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
    3.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, 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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