Preset performance adaptive event-triggered line-of-sight tracking control for multi-constrained tractor-trailer systems

A new adaptive constraint tracking control algorithm is proposed for the Line-of-sight problem with tracking in the tractor-trailer system. This algorithm transforms the constrained tracking error using a preset performance control method, enabling the trailer to follow to the desired trajectory while meeting various performance and feasibility constraints. It is proved that the errors in tracking distance and angles can converge to a small region near the equilibrium point at an exponential rate, and the rate of convergence is affected by control inputs and adaptive gain. To ease the burden of communication, a relative threshold strategy is proposed. Simulation examples and experimental studies validate the algorithm’s effectiveness.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-07-25
DOI
https://doi.org/10.1177/09544062251352720
Primary Topic
Control and Dynamics of Mobile Robots
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Preset performance adaptive event-triggered line-of-sight tracking control for multi-constrained tractor-trailer systems

Yang Chen, Qi Wang, Yukun Song
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Control and Dynamics of Mobile Robots
article

Preset performance adaptive event-triggered line-of-sight tracking control for multi-constrained tractor-trailer systems

Yang Chen, Qi Wang, Yukun Song
article en

Abstract

A new adaptive constraint tracking control algorithm is proposed for the Line-of-sight problem with tracking in the tractor-trailer system. This algorithm transforms the constrained tracking error using a preset performance control method, enabling the trailer to follow to the desired trajectory while meeting various performance and feasibility constraints. It is proved that the errors in tracking distance and angles can converge to a small region near the equilibrium point at an exponential rate, and the rate of convergence is affected by control inputs and adaptive gain. To ease the burden of communication, a relative threshold strategy is proposed. Simulation examples and experimental studies validate the algorithm’s effectiveness.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(20)
Liaoning University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
Control and Dynamics of Mobile Robots
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