A study of unmanned vehicle trajectory tracking based on nonsingular terminal sliding mode

Addressing the challenge of unmanned vehicle trajectory tracking in complex, dynamic environments inherently requires robust path-tracking controllers. To accomplish this, we propose a non-singular terminal sliding mode control (NTSM) strategy specifically designed for vehicle trajectory tracking. This controller employs a fast convergence law to accurately follow reference trajectories through autonomous steering. The stability of this control system is rigorously proven utilizing the Lyapunov stability criterion. To validate its performance, simulations are conducted under various operating conditions using the Matlab-Carsim co-simulation platform. The results consistently demonstrate that, in comparison to model predictive control (MPC) and traditional sliding mode control (SMC), the NTSM strategy significantly enhances control accuracy and robustness.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054505
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A study of unmanned vehicle trajectory tracking based on nonsingular terminal sliding mode

Zhengke Chen, He Yi, Haoyu Li, Zhiqiang Gao et al.
Vehicle Dynamics and Control Systems
article

A study of unmanned vehicle trajectory tracking based on nonsingular terminal sliding mode

Zhengke Chen, He Yi, Haoyu Li, Zhiqiang Gao, Zhen Huang
article en

Abstract

Addressing the challenge of unmanned vehicle trajectory tracking in complex, dynamic environments inherently requires robust path-tracking controllers. To accomplish this, we propose a non-singular terminal sliding mode control (NTSM) strategy specifically designed for vehicle trajectory tracking. This controller employs a fast convergence law to accurately follow reference trajectories through autonomous steering. The stability of this control system is rigorously proven utilizing the Lyapunov stability criterion. To validate its performance, simulations are conducted under various operating conditions using the Matlab-Carsim co-simulation platform. The results consistently demonstrate that, in comparison to model predictive control (MPC) and traditional sliding mode control (SMC), the NTSM strategy significantly enhances control accuracy and robustness.

Wuhan University of Technology (CN)
Openalex Percentile: Top 74%
Vehicle Dynamics and Control Systems
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A study of unmanned vehicle trajectory tracking based on nonsingular terminal sliding mode — Zhengke Chen, He Yi, et al. · (2024) | TGRS Research Map | TGRS