2022
DOI: 10.1109/access.2022.3188760
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Adaptive Continuous Sliding Mode Control of Buck Converters With Multidisturbances Based on Zero-Crossing Detection

Abstract: In this paper, a novel adaptive continuous sliding mode (SM) control approach is proposed based on the robust stability analysis of buck converters with multi-disturbances. Instead of the traditional first-order SM methods, the twisting algorithm is adopted to realize the control continuity and further weaken their inherent chattering problem. By introducing the zero-crossing detection innovatively, the influence of the traditional twisting algorithm with fixed control gain led to the low precision is effectiv… Show more

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Cited by 8 publications
(2 citation statements)
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References 63 publications
(104 reference statements)
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“…Moreover, the discontinuous term in the switching control law is another problem that causes the chattering phenomenon and potentially degrades the system qualification. To deal with this regard, an adaptive law is involved to overcome this problem and satisfy the time-varying perturbation [ 22 ]. In [ 23 ], an adaptive strategy was constructed by using a normalized output error-based SMC.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the discontinuous term in the switching control law is another problem that causes the chattering phenomenon and potentially degrades the system qualification. To deal with this regard, an adaptive law is involved to overcome this problem and satisfy the time-varying perturbation [ 22 ]. In [ 23 ], an adaptive strategy was constructed by using a normalized output error-based SMC.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, adaptive-based approaches are proposed with higher efficiency in challenging cases considering their flexibility and better outcomes. Some of the most recent adaptive controllers used for power converters are listed here: Neural Network-based adaptive [18,19], adaptive predictive [20], optimized adaptive sliding mode [21,22], and Lyapunovbased adaptive [23] strategies. The main benefits presented by these approaches are effectiveness in ill-defined models, higher robustness in uncertainties, and faster dynamical operation.…”
Section: Introductionmentioning
confidence: 99%