2019
DOI: 10.1002/rnc.4681
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Abstract: Summary In this paper, a simplified super‐twisting control with adaptive gain is proposed for a class of nonlinear uncertain systems. A strong Lyapunov function is constructed to design a sliding mode controller with adaptive gain. Furthermore, the analysis of the finite time convergence towards the equilibrium point of the closed‐loop system is detailed. Regarding previous works from literature, the main contribution of this approach is the simplification of the gain tuning process by maintaining a high level… Show more

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Cited by 12 publications
(8 citation statements)
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References 19 publications
(46 reference statements)
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“…Under load disturbances, Dev et al [22] proposed an adaptive super-twisting sliding mode controller for two sections of interconnected power networks. Te authors implemented the dynamic adaptive rule proposed by Gutierrez et al [23] to deal with the unknown limits of disturbances and prevent overestimating control advantages.…”
Section: Introductionmentioning
confidence: 99%
“…Under load disturbances, Dev et al [22] proposed an adaptive super-twisting sliding mode controller for two sections of interconnected power networks. Te authors implemented the dynamic adaptive rule proposed by Gutierrez et al [23] to deal with the unknown limits of disturbances and prevent overestimating control advantages.…”
Section: Introductionmentioning
confidence: 99%
“…To mitigate this problem, Rajappa et al 15 adopts an adaptive super-twisting controller (ASTSMC) for the motion control of a quadrotor. Gutierrez et al 16 proposes a simplified ASTSMC algorithm with application of a quadrotor. However, the existing applications of ASTSMC do not contain the force control or impedance control.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, the choice towards adaptive super-twisting algorithm has been made for several reasons: first-of-all, as previously recalled, this is a controller that is continuous and does not use time derivative of the sliding variable, reducing the chattering by an efficient way. Furthermore, there exist several adaptive versions of super-twisting, from the initial version [29] to very recent ones [33], [34], these latter using very few tuning parameters (for [34], two parameters as in [33] but with respect to six for [29]). Notice that this class of adaptive controllers require a very reduced knowledge of the system; only the fact that the uncertainties/perturbations are bounded and that the system can be locally modelled as a first order model.…”
Section: Introductionmentioning
confidence: 99%