For nonsinusoidal electromotive force (NS-EMF) multiphase machines, this article proposes a new strategy and control scheme to guarantee smooth torque under an open-phase fault. Notably, the conventional proportional–integral controllers implemented for vector in healthy mode can be used faulty mode. The is based on reduced-order transformations while applies simple artificial intelligence algo...

This paper introduces a variant of the ADALINE in which the input signals are normalized to have zero mean and unit variance, and in which the bias or “threshold weight” is learned slightly differently. These changes result in a linear learning element that learns much more efficiently and rapidly, and that is much less dependent on the choice of the step-size parameter. Using simulation experi...

The creation of multiple applications with a higher level complexity has been made possible by the usage artificial neural networks (ANNs). In this research, an efficient flexible finite impulse response (FIR) filter structure called ADALINE (adaptive linear element) that makes use MAC (multiply accumulate) core is proposed. least mean square (LMS) and recursive (RLS) algorithms are most often ...

This study proposes several high precision selective harmonics compensation schemes for an active power filter. Harmonic currents are identified and on-line tracked by novel Adaline-based architectures which work in different reference-frames resulting from specific currents or powers decompositions. Adalines are linear and adaptive neural networks which present an appropriate structure to fit ...

This study investigated the problem of controlling a three-phase three-wire photovoltaic (PV)-type distribution static compensator (DSTATCOM). In order to model, simulate, and control system, MATLAB/SIMULINK tool was used. Different controllers were applied create switching pulses for IGBT-based voltage source converter (VSC) mitigation various power quality issues in PV-DSTATCOM. Traditional a...

It is well known that to perform accurate Direction of Arrivals (DOA) estimation using algorithms like MUSIC (MUltiple SIgnals Classification), antenna array data must be calibrated to match the theoretical model upon which DOA algorithms are based. This paper presents experimental measurements from independent sources obtained with a linear antenna array and proposes a novel calibration techni...

In our recent studies we have proposed the use of minimum error entropy criterion as an alternative to minimum square error (MSE) in supervised adaptive system training. We have formulated a nonparametric estimator for Renyi’s entropy with the help of Parzen windowing. This formulation revealed interesting insights about the process of information theoretical learning. We have applied this new ...

This paper introduces novel techniques based on Machine Learning (ML) algorithms for a Photovoltaic integrated Shunt Active Power Filter performance improvement. The first goal is to design an efficient maximum power point tracking MPPT strategy in order harness the largest amount of energy possible. Thereby, new hybrid Support Vector Regression Perturb and Observe (SVM regression-P&O) algorith...

Este estudo teve por objetivo avaliar o desempenho de redes neurais artificiais (RNA) e máquinas vetor suporte (MVS) na modelagem volumétrica em povoamentos eucalipto. Utilizou-se dados oriundos plantios comerciais não desbastados, localizados quatro municípios mesorregião sul do estado Amapá foram disponibilizados uma empresa privada. Foram ajustados modelos volumétricos consagrados literatura...