Neural harmonic detection approaches for FPGA area efficient implementation
| Autor: | Martin Kom, S.R.N. Dzondé, F. Braun, D. Flieller, J.P. Blondé, Hervé Berviller, Charles Hubert Kom |
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| Přispěvatelé: | Institut d'Electronique du Solide et des Systèmes (InESS), Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
010302 applied physics
[PHYS]Physics [physics] Artificial neural network Computer science Direct method 020208 electrical & electronic engineering Control unit 02 engineering and technology AC power Condensed Matter Physics 01 natural sciences Electronic Optical and Magnetic Materials Computer engineering Harmonics 0103 physical sciences Stratix Physical Sciences 0202 electrical engineering electronic engineering information engineering Harmonic Field-programmable gate array Instrumentation ComputingMilieux_MISCELLANEOUS |
| Zdroj: | European Physical Journal: Applied Physics European Physical Journal: Applied Physics, EDP Sciences, 2011, 56 (3), pp.30901. ⟨10.1051/epjap/2011100332⟩ European Physical Journal: Applied Physics, EDP Sciences, 2011, 56, pp. 30901_1-8 |
| ISSN: | 1286-0042 1286-0050 |
| DOI: | 10.1051/epjap/2011100332⟩ |
| Popis: | This paper deals with new neural networks based harmonics detection approaches to minimize hardware resources needed for FPGA implementation. A simple type of neural network called Adaline is used to build an intelligent Active Power Filter control unit for harmonics current elimination and reactive power compensation. For this purpose, two different approaches called Improved Three-Monophase (ITM) and Two-Phase Flow (TPF) methods are proposed. The ITM method corresponds to a simplified structure of the three-monophase method whereas the TPF method derives from the Synchronous Reference Frame method. Indeed, for both proposed methods, only 50% of Adalines with regard to the original methods is used. The corresponding designs were implemented on a FPGA Stratix II platform through Altera DSP Builder ® development tool. After analyzing those two methods with respect to performance and size criteria, a comparative study with the popular p - q and also the direct method is reported. From there, one can notice that the p - q is still the most powerful method for three-phase compensation but the TPF method is the fastest and the most compact in terms of size. An experimental result is shown to validate the feasibility of FPGA implementation of ANN-based harmonics extraction algorithms. |
| Databáze: | OpenAIRE |
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