Szczegóły publikacji

Opis bibliograficzny

Adaptive barrier function terminal sliding mode control for nonlinear systems subject to uncertain bounded perturbations / ZiKai Wang, Kuo-Hsien Hsia, Saleh Mobayen, Omid Mofid, Paweł SKRUCH // Ain Shams Engineering Journal ; ISSN 2090-4479. — 2025 — vol. 16 iss. 7 art. no. 103418, s. 1-12. — Bibliogr. s. 11-12, Abstr. — Publikacja dostępna online od: 2025-04-29

Autorzy (5)

Słowa kluczowe

uncertain systemnon linearityadaptive controlsliding surfaceterminal sliding mode control

Dane bibliometryczne

ID BaDAP159672
Data dodania do BaDAP2025-06-10
Tekst źródłowyURL
DOI10.1016/j.asej.2025.103418
Rok publikacji2025
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaAin Shams Engineering Journal

Abstract

This research proposes a tracking control strategy for perturbed and uncertain nonlinear systems by incorporating an adaptive barrier function within a terminal sliding mode control framework. The proposed approach leverages terminal sliding mode control, integrated with the global convergence principle, to ensure global finite-time tracking performance. Additionally, the adaptive barrier function mechanism is employed to effectively mitigate the impact of system perturbations and uncertainties, enhancing overall robustness and stability in nonlinear system control. The key findings and advantages of the proposed method are summarized as: (1) The use of terminal sliding mode control enhances the system’s robustness; (2) Since the controller derivative is continuous except for a discontinuous sign function, integrating the barrier function-based control signal effectively minimizes chattering; (3) By incorporating an adaptive barrier-tuning function, the method ensures robustness against system uncertainties, disturbances, and nonlinearities while mitigating the chattering effect; (4) The proposed method improves tracking accuracy and reduces chattering caused by switching laws; (5) This novel approach holds significant potential for real-world applications, particularly in tracking control scenarios involving input saturations and time delays in uncertain nonlinear systems. Additionally, the proposed approach is highly adaptable for practical applications as it employs two adaptation rules to handle uncertainties and disturbances with unknown upper bounds under specific conditions. Numerical simulation and experimental validation on a rotary inverted pendulum system demonstrate the effectiveness and feasibility of the proposed control scheme for the trajectory tracking control of the real nonlinear system, which confirms the compatibility of the proposed method in real applications.

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