Robust Control of Double Star PMSG using Artificial Neural Network

Autor:	Thiaw Lamine, Benkhoris Mouhamed Fouad, Ndiaye Mouhamadou Falilou, Mourad Ait Ahmed, Nadia Ait Ahmed, Gning Ndeye Seynabou
Rok vydání:	2019
Předmět:	Search engine Artificial neural network Control theory Robustness (computer science) Computer science Computer Science::Neural and Evolutionary Computation Double star Robust control Perceptron Neural network controller System dynamics
Zdroj:	2019 IEEE 2nd International Conference on Renewable Energy and Power Engineering (REPE).
DOI:	10.1109/repe48501.2019.9025120
Popis:	In this paper, we apply artificial neural networks to control double star smooth poles permanent magnet synchronous generator-PWM rectifiers set connected to standalone DC network. First, we present the model of the machine. Then a command based on a Multi-Layer Perceptron (MLP) neural network is applied to the control of the machine. Database generating method for neural network based on variations in machine parameters is also described in the document. The results show the performance of the neural network controller in robustness.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::61dec3a250306d0526658b12e613ea8b https://doi.org/10.1109/repe48501.2019.9025120 Zobrazit plný text záznamu