JOURNAL ARTICLE

Trajectory Tracking Control of Autonomous Underwater Vehicle With Unknown Parameters and External Disturbances

Xian YangJing YanChangchun HuaXinping Guan

Year: 2019 Journal:   IEEE Transactions on Systems Man and Cybernetics Systems Vol: 51 (2)Pages: 1054-1063   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Most studies so far on trajectory tracking control of autonomous underwater vehicle (AUV) have assumed that the Euler angles are exactly known. However, the AUV inevitably suffers from external environmental disturbances which are driven by wind, density, and temperature gradients. The attitude transducers cannot derive accurate attitude information of the AUV. Additionally, the uncertain hydrodynamic parameters affect the stability of the system. Consequently, it is unknown whether tracking performance of the AUV can be guaranteed. In order to overcome these drawbacks, in this paper, a finite-time controller is developed by using the nonsingular fast terminal sliding mode control technique. A robust differentiator is proposed to estimate the external disturbances and uncertain parts. Simulations are performed to show that with the proposed control laws, the AUV converges to the desired trajectory even in the presence of external disturbances and system uncertainty.

Keywords:
Control theory (sociology) Differentiator Trajectory Tracking (education) Controller (irrigation) Computer science Stability (learning theory) Control (management) Artificial intelligence Physics

Metrics

121
Cited By
8.10
FWCI (Field Weighted Citation Impact)
31
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Underwater Vehicles and Communication Systems
Physical Sciences →  Engineering →  Ocean Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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