Control of a Shunt Active Power Filter with Neural Networks-Theory and Practical Results
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- Villalva Marcelo G.
- University of Campinas (UNICAMP)
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- Filho Ernesto Ruppert
- University of Campinas (UNICAMP)
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Abstract
This paper presents theoretical studies and practical results obtained with a four-wire shunt active power filter fully controlled with neural networks. The paper is focused on a current compensation method based on adaptive linear elements (adalines), which are powerful and easy-to-use neural networks. The reader will find here an introduction about these networks, an explanatory section about the achievement of Fourier series with adalines, and the full description of an adaline-based selective current compensator. The paper also brings a quick discussion about the use of a feedforward neural network in the current controller of the active filter, as well as simulation and experimental results obtained with the prototype of an active power filter.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 126 (7), 946-953, 2006
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204659659776
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- NII Article ID
- 10018146812
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 8023705
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed