Finite-time variable gains super-twisting control for lane-changing of autonomous vehicles

Uncertainties, parameters variations and external disturbances may affect highly the task of lane-keeping, lane-changing and path-tacking autonomous vehicles. This paper presents a novel variable gains second-order sliding mode algorithm for en-hanced path tracking performance of autonomous vehicles...

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Published inAIP conference proceedings Vol. 3034; no. 1
Main Authors Kali, Yassine, Saad, Maarouf, Landry, Mario, Comtois-Rivet, Pier-Marc
Format Journal Article Conference Proceeding
LanguageEnglish
Published Melville American Institute of Physics 05.03.2024
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ISSN0094-243X
1935-0465
1551-7616
1551-7616
DOI10.1063/5.0194628

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Abstract Uncertainties, parameters variations and external disturbances may affect highly the task of lane-keeping, lane-changing and path-tacking autonomous vehicles. This paper presents a novel variable gains second-order sliding mode algorithm for en-hanced path tracking performance of autonomous vehicles subject to uncertainties and disturbances. The used algorithm is a modified super-twisting with both nonlinear and linear correction terms. Hence, the proposed method doesn’t suffer from the chattering phenomenon, ensures high order precision and guarantees both the robustness against perturbations and the convergence in finite-time during the reaching phase. To evaluate the efficiency of the developed approach, a double lane-changing scenario is considered in simulation for an uncertain autonomous vehicle and the results are compared with the first-order sliding mode.
AbstractList Uncertainties, parameters variations and external disturbances may affect highly the task of lane-keeping, lane-changing and path-tacking autonomous vehicles. This paper presents a novel variable gains second-order sliding mode algorithm for en-hanced path tracking performance of autonomous vehicles subject to uncertainties and disturbances. The used algorithm is a modified super-twisting with both nonlinear and linear correction terms. Hence, the proposed method doesn’t suffer from the chattering phenomenon, ensures high order precision and guarantees both the robustness against perturbations and the convergence in finite-time during the reaching phase. To evaluate the efficiency of the developed approach, a double lane-changing scenario is considered in simulation for an uncertain autonomous vehicle and the results are compared with the first-order sliding mode.
Author Kali, Yassine
Saad, Maarouf
Landry, Mario
Comtois-Rivet, Pier-Marc
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Snippet Uncertainties, parameters variations and external disturbances may affect highly the task of lane-keeping, lane-changing and path-tacking autonomous vehicles....
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SubjectTerms Algorithms
Disturbances
Lane changing
Lane keeping
Parameter uncertainty
Path tracking
Twisting
Vehicles
Title Finite-time variable gains super-twisting control for lane-changing of autonomous vehicles
URI http://dx.doi.org/10.1063/5.0194628
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