Adaptive Fixed‐Time Sliding Mode Control for Trajectory Tracking of Uncertain Dynamical Systems

ABSTRACT This paper introduces an innovative adaptive fixed‐time sliding mode control (SMC) method that eliminates chattering, enhancing trajectory tracking accuracy and robustness in nonlinear dynamical systems facing uncertainties and external disturbances. The proposed control scheme ensures fixed‐time convergence of system states to a predefined neighborhood around the origin, independent of initial conditions. An innovative adaptive tuning law is proposed to estimate the unknown upper bounds of synthetic uncertainties and disturbances without requiring prior knowledge. This law forces system states to trend to the sliding surface within a fixed time, achieving stabilization of tracking errors at the origin without undesirable chattering and while avoiding singularities. Comprehensive simulations and comparisons among four control strategies (C1, C2, C3, and C4) demonstrate that the proposed C1 control strategy outperforms others in terms of faster convergence speed, higher tracking accuracy, less chattering, and stronger robustness.

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Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2024-11-21
DOI
https://doi.org/10.1002/rnc.7714
Citations
4
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
1.31

Funders

Controls
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article

Adaptive Fixed‐Time Sliding Mode Control for Trajectory Tracking of Uncertain Dynamical Systems

Anle Mu, Feihang Zhou, Yiran Fan, Jianxiang Yang et al.
4 citations
International Journal of Robust and Nonlinear Control
Adaptive Control of Nonlinear Systems
1.31
article

Adaptive Fixed‐Time Sliding Mode Control for Trajectory Tracking of Uncertain Dynamical Systems

Anle Mu, Feihang Zhou, Yiran Fan, Jianxiang Yang, Nailu Li, Jianbin Xiong
article en
4 citations

Abstract

ABSTRACT This paper introduces an innovative adaptive fixed‐time sliding mode control (SMC) method that eliminates chattering, enhancing trajectory tracking accuracy and robustness in nonlinear dynamical systems facing uncertainties and external disturbances. The proposed control scheme ensures fixed‐time convergence of system states to a predefined neighborhood around the origin, independent of initial conditions. An innovative adaptive tuning law is proposed to estimate the unknown upper bounds of synthetic uncertainties and disturbances without requiring prior knowledge. This law forces system states to trend to the sliding surface within a fixed time, achieving stabilization of tracking errors at the origin without undesirable chattering and while avoiding singularities. Comprehensive simulations and comparisons among four control strategies (C1, C2, C3, and C4) demonstrate that the proposed C1 control strategy outperforms others in terms of faster convergence speed, higher tracking accuracy, less chattering, and stronger robustness.

International Journal of Robust and Nonlinear ControlVol. 35(3)
Guangdong Polytechnic Normal University (CN), Xi'an University of Technology (CN), Xi’an University of Posts and Telecommunications (CN), Yangzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province, Basic and Applied Basic Research Foundation of Guangdong Province
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Adaptive Control of Nonlinear Systems
1.31
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Adaptive Fixed‐Time Sliding Mode Control for Trajectory Tracking of Uncertain Dynamical Systems — Anle Mu, Feihang Zhou, et al. · International Journal of Robust and Nonlinear Control (2024) | TGRS Research Map | TGRS