Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A backstepping-based adaptive controller with neural compensator is designed for harmonic suppression in a three-phase active power filter (APF).
The fundamental rule of backstepping method is to take some state variables as “virtual controls” and then design intermediate controller.
An adaptive neural controller using radial basis function (RBF) is derived to estimate the APF system nonlinearity and strengthen the current’s tracking property and power grid quality.
Simulations studies indicate the proposed backstepping-based adaptive neural controller has good current tracking behavior and increased power quality.
American Psychological Association (APA)
Fang, Yunmei& Fei, Juntao. 2019. Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195971
Modern Language Association (MLA)
Fang, Yunmei& Fei, Juntao. Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator. Mathematical Problems in Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1195971
American Medical Association (AMA)
Fang, Yunmei& Fei, Juntao. Adaptive Backstepping Current Control of Active Power Filter Using Neural Compensator. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1195971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1195971