%0 Journal Article
%A Ibanez-Hidalgo, Irati
%A Sanchez-Ruiz, Alain
%A Perez-Basante, Angel
%A Zubizarreta, Asier
%A Ceballos, Salvador
%A Gil-Lopez, Sergio
%A Aguilera, Ricardo P.
%T Real Time Selective Harmonic Control - PWM Based on Artificial Neural Networks
%D 2024
%@ 0885-8993
%U https://hdl.handle.net/11556/3016
%X Selective harmonic elimination-pulse width modulation (SHE-PWM) is a widely used low switching frequency modulation technique for medium-voltage high-power converters. This approach is able to adjust the converter fundamental component while eliminating low-order harmonics. However, some applications such as active power filters (APFs) require regulating simultaneously, both the fundamental and low-order harmonics in amplitude and phase. This article presents a novel selective harmonic control-PWM (SHC-PWM) modulator, valid for APFs, based on artificial neural networks (ANNs) and sequential quadratic programming (SQP). A new offline search methodology, based on a hybrid metaheuristic-numerical algorithm, is defined to calculate the solution space when both the fundamental and a low-order harmonic are controlled in phase and amplitude. The solutions obtained are used to train the ANNs offline. Afterwards, the ANN + SQP calculation method is used to solve the SHC-PWM problem in real-time (RT). Experimental results are provided for a three-level converter to verify the effectiveness of the proposed RT control method.
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