2021
DOI: 10.3311/ppee.17989
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Improved Super Twisting Based High Order Direct Power Sliding Mode Control of a Connected DFIG Variable Speed Wind Turbine

Abstract: This work presents the theoretical and practical comparison of linear and nonlinear control laws for the direct power control of a grid-connected double fed induction generator (DFIG), based wind energy conversion system (WECS) under different operating modes. We will show the improvement brought by the super twisting based high order sliding mode control to mitigate the chattering phenomenon, due to the high switching frequency. It will also avoid the hyperlink of the controller settings to the system’s mathe… Show more

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Cited by 9 publications
(6 citation statements)
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“…Conventional PI controllers have an undesirable influence on the system response during a parametric variation [16]; moreover the setting of PI controllers does not generally take into account the physical limitations of the system such as the maximum current and voltage. For these reasons and in order to improve the dynamic responses of the machine in closed loop, we use a PI anti-windup controller [17] illustrated in Fig.…”
Section: Controller's Designs 41 Pi Anti-windup Controllermentioning
confidence: 99%
“…Conventional PI controllers have an undesirable influence on the system response during a parametric variation [16]; moreover the setting of PI controllers does not generally take into account the physical limitations of the system such as the maximum current and voltage. For these reasons and in order to improve the dynamic responses of the machine in closed loop, we use a PI anti-windup controller [17] illustrated in Fig.…”
Section: Controller's Designs 41 Pi Anti-windup Controllermentioning
confidence: 99%
“…The expressions of direct rotor voltage and quadrature rotor voltage of the DFIG are given by the following equations (Dekali et al, 2021):…”
Section: Direct Field-oriented Control Dfocmentioning
confidence: 99%
“…Initially, a boundary layer was used by [87] to remove the chattering problem. The many techniques presented are: appropriate finite gains [93], high-order SMC (HOSMC) [94,95], second-order SMC (SOSMC) [96][97][98][99], fuzzy SMC [100], extended state observer-based [101], fractional-order SMC (FOSMC) [102,103], fractional-order terminal SMC (FOTSMC) [104], super twisting FOTSMC (ST-FOTSMC) [105], artificial intelligence integrated FOSMC [106], and composite FOSMC [2]. The SMC variants covered in the literature proposed for WECS are given in Figure 4.…”
Section: Motivation Of This Studymentioning
confidence: 99%