A Unique FPGA for the Implementation of Neural Strategies for Identifying Harmonic Distortions

Serge Raoul Naoussi Dzondé (1) , Hervé Berviller (2) , C.-H. Kom (1) , Patrice Wira (3)

1 L2EAT - Laboratoire d'Electronique, Electrotechnique, Automatique et Télécommunication
2 ICube - Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie
3 MIPS - Modélisation, Intelligence, Processus et Système

In this paper, three optimized neural harmonics extraction methods are presented and compared in terms of simulation results, FPGA implementation and practical considerations. Those distortion identification schemes are used in nonlinear loads compensation with Active Power Filters (APF). This optimization is performed in order reduce the number of hardware resources required for digital implementations. The given approaches tend to use only one Adaline and remain powerful even under unbalanced conditions of voltage. In this way, the implementation of all the functionalities of the active filter control has been realized by means of a unique FPGA chip. Moreover, even the most consuming method (i.e., the ITM) uses less than 52% of hardware resources. Even though the mp-q technique (based on the instantaneous reactive power theory) is not the fastest in terms of hardware response time, it stills appear the most powerful for its filtering aptitudes with an experimental sourceside current THD of 3.3% after compensation.

Mots clés: réseau prédiffusé programmable par l'utilisateur; field programmable gate array; FPGA

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Serge Raoul Naoussi Dzondé, Hervé Berviller, C.-H. Kom, Patrice Wira. A Unique FPGA for the Implementation of Neural Strategies for Identifying Harmonic Distortions. Journal of Research in Electrical and Electronics Engineering, 2014, 3 (1), pp.1-7. ⟨hal-01020802⟩