2019 International Conference of Computer Science and Renewable Energies (ICCSRE) 2019
DOI: 10.1109/iccsre.2019.8807524
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Control Strategies for DFIG based on Wind Energy Conversion System using RST and Fuzzy Logic Controllers

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Cited by 4 publications
(5 citation statements)
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“…To determine the polynomials R(s) and S(s), we have to solve the following equation called Bezout equation [4,16,17]. The control pole allows accelerating the system, it is chosen greater than the pole sA of the polynomial A, and in order to enhance the regulator robustness, the pole sf is chosen greater than sc [4,6].…”
Section: Design Of Rst Controllermentioning
confidence: 99%
See 2 more Smart Citations
“…To determine the polynomials R(s) and S(s), we have to solve the following equation called Bezout equation [4,16,17]. The control pole allows accelerating the system, it is chosen greater than the pole sA of the polynomial A, and in order to enhance the regulator robustness, the pole sf is chosen greater than sc [4,6].…”
Section: Design Of Rst Controllermentioning
confidence: 99%
“…By using the bandwidth parameterization technic, the observer gains are choosed in the condition of all eigenvalues of the matrix (A − LC) are placed at −ω0 [6][7].…”
Section: Design Of Adrc Controllermentioning
confidence: 99%
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“…The structure of the MPPT based on RST controller is depicted in Figure 3 [20]. To implement this algorithm in a fuzzy controller, we used a Mamdani model as presented in Figure 5 [1,15,21].…”
Section: As Br mentioning
confidence: 99%
“…From equations (20) and 23, we deduce the coefficients of the polynomial D which are related to the coefficients of R and S by Sylvester's matrix. In this way, we can derive the parameters of the RST controller in the following way: Tr…”
Section: Rst Controller Synthesis For Rscmentioning
confidence: 99%