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Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control

Zhenfeng Xiao ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Rongxiang Yuan ; School of Electrical Engineering, Wuhan University, Wuhan 430072, P. R. China
Yilong Chen ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Qijuan Chen ; School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, P. R. China
Xiangtian Deng ; School of Electrical Engineering, Wuhan University, Wuhan 430072, P. R. China

Puni tekst: engleski, pdf (2 MB) str. 545-551 preuzimanja: 276* citiraj
APA 6th Edition
Xiao, Z., Yuan, R., Chen, Y., Chen, Q. i Deng, X. (2014). Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control. Tehnički vjesnik, 21 (3), 545-551. Preuzeto s https://hrcak.srce.hr/123320
MLA 8th Edition
Xiao, Zhenfeng, et al. "Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control." Tehnički vjesnik, vol. 21, br. 3, 2014, str. 545-551. https://hrcak.srce.hr/123320. Citirano 25.02.2020.
Chicago 17th Edition
Xiao, Zhenfeng, Rongxiang Yuan, Yilong Chen, Qijuan Chen i Xiangtian Deng. "Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control." Tehnički vjesnik 21, br. 3 (2014): 545-551. https://hrcak.srce.hr/123320
Harvard
Xiao, Z., et al. (2014). 'Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control', Tehnički vjesnik, 21(3), str. 545-551. Preuzeto s: https://hrcak.srce.hr/123320 (Datum pristupa: 25.02.2020.)
Vancouver
Xiao Z, Yuan R, Chen Y, Chen Q, Deng X. Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control. Tehnički vjesnik [Internet]. 2014 [pristupljeno 25.02.2020.];21(3):545-551. Dostupno na: https://hrcak.srce.hr/123320
IEEE
Z. Xiao, R. Yuan, Y. Chen, Q. Chen i X. Deng, "Active power filter control strategy with novel dual-repetitive controller and neural network adaptive PI control", Tehnički vjesnik, vol.21, br. 3, str. 545-551, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/123320. [Citirano: 25.02.2020.]
Puni tekst: hrvatski, pdf (2 MB) str. 545-551 preuzimanja: 300* citiraj
APA 6th Edition
Xiao, Z., Yuan, R., Chen, Y., Chen, Q. i Deng, X. (2014). Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža. Tehnički vjesnik, 21 (3), 545-551. Preuzeto s https://hrcak.srce.hr/123320
MLA 8th Edition
Xiao, Zhenfeng, et al. "Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža." Tehnički vjesnik, vol. 21, br. 3, 2014, str. 545-551. https://hrcak.srce.hr/123320. Citirano 25.02.2020.
Chicago 17th Edition
Xiao, Zhenfeng, Rongxiang Yuan, Yilong Chen, Qijuan Chen i Xiangtian Deng. "Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža." Tehnički vjesnik 21, br. 3 (2014): 545-551. https://hrcak.srce.hr/123320
Harvard
Xiao, Z., et al. (2014). 'Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža', Tehnički vjesnik, 21(3), str. 545-551. Preuzeto s: https://hrcak.srce.hr/123320 (Datum pristupa: 25.02.2020.)
Vancouver
Xiao Z, Yuan R, Chen Y, Chen Q, Deng X. Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža. Tehnički vjesnik [Internet]. 2014 [pristupljeno 25.02.2020.];21(3):545-551. Dostupno na: https://hrcak.srce.hr/123320
IEEE
Z. Xiao, R. Yuan, Y. Chen, Q. Chen i X. Deng, "Strategija upravljanja aktivnim filtrom snage s novim dvostruko-ponavljajućim kontrolnim uređajem i adaptivnim PI upravljanjem pomoću neuronskih mreža", Tehnički vjesnik, vol.21, br. 3, str. 545-551, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/123320. [Citirano: 25.02.2020.]

Sažetak
In this paper, the configuration characteristic of shunt active power filter (SAPF) with split-capacitor was analysed, as well as its principle diagram and control module. In order to improve the dynamic performance of a control system and elevate dynamic response, a combination strategy based on dual-repetitive controller (DRC) and adaptive PI control is presented. In DRC, one repetitive controller is for ensuring the current tracking accuracy and the other one is for enhancing dynamic response. The neural network PI control is adopted to improve response speed by turning the PI parameters adaptively, setting parameters K'x and K'y online. This control strategy was applied on industrial prototype simulation and field test. Comparing with the conventional control strategy, the experimental result shows that system compensation could effectively reduce the total harmonic distortion (THD) values from 26,02 %, 27,76 % and 27,60 % to 4,25 %, 4,57 % and 4,35 % for each phase of the current. And the full response time is all less than 10 ms, fully meeting the standard of IEEE-519.

Ključne riječi
adaptive PI control; Dual-Repetitive Controller (DRC); dynamic response; Shunt Active Power Filter (SAPF)

Hrčak ID: 123320

URI
https://hrcak.srce.hr/123320

[hrvatski]

Posjeta: 764 *