Adaptive Super-Twisting Algorithm subject to Unbounded Disturbances without a priori Bounds

This paper proposes a novel Adaptive Super-Twisting Algorithm (STA) to cope with bounded and unbounded disturbances. The proposed adaptive multilayered scheme does not require the knowledge of upper bounds for the matched disturbances and their derivatives. The only requirement is that the m-th deri...

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Bibliographic Details
Published inProceedings (IEEE International Workshop on Variable Structure Systems) pp. 178 - 183
Main Authors Filho, Jair Luiz de Azevedo, Nunes, Eduardo Vieira Leao
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.09.2022
Subjects
Conferences
Estimation error
Low-pass filters
Numerical simulation
Upper bound
Variable structure systems
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ISSN2158-3986
DOI10.1109/VSS57184.2022.9902090

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Summary:This paper proposes a novel Adaptive Super-Twisting Algorithm (STA) to cope with bounded and unbounded disturbances. The proposed adaptive multilayered scheme does not require the knowledge of upper bounds for the matched disturbances and their derivatives. The only requirement is that the m-th derivative is bounded by an unknown constant. Using a modified low-pass filter we can estimate the disturbance and its derivatives so that both gains of the STA can be adapted in a non-conservative way, enforcing a second-order sliding mode and reducing the undesirable effects of chattering.
ISSN:2158-3986
DOI:10.1109/VSS57184.2022.9902090