Response-Tunable Adaptive LOS-Based Guidance for Depth-Tracking Control of Underactuated AUVs in the Presence of Time-Varying Disturbances

Autonomous underwater vehicles (AUVs) have been extensively employed in diverse marine applications, where depth-tracking control remains a critical technical challenge. Although previous studies have investigated various guidance law designs for underactuated AUVs, compensation for the attack-angle effect induced by heave velocity remains underexplored, particularly in the presence of extreme time-varying external disturbances and sharp path curvature variations. Existing line-of-sight (LOS) based methods, including integral LOS (ILOS) and adaptive LOS (ALOS), rely solely on the integral action of the pitch-tracking error to estimate the attack angle, which inevitably introduces inherent time-delay characteristics and induces overshoot and chattering in the depth-tracking response. Given that a system’s position and its velocity are uniquely determined by its acceleration, a response-tunable adaptive LOS (RTALOS) guidance design is proposed for AUV depth-tracking control task. This guidance law incorporates both the depth-tracking error and its velocity term as boundary constraints, generating an acceleration reference through a time-based planning polynomial to achieve accurate attack-angle estimation. The proposed method redefines attack-angle estimation as a new paradigm based on a second-order depth-tracking kinematic system, where the introduced velocity term acts as an adjustable damping effect to effectively suppress the depth-tracking overshoot and oscillation. Simulations were conducted to verify that the proposed guidance design could make the depth-tracking motion converge within a given time duration if the state-constrained acceleration was promptly executed. Compared to the selected ILOS and ALOS methods, the proposed RTALOS method can rapidly and accurately compensate for time-varying attack-angle effects via the estimation of attack angle, resulting in precise depth-tracking control performance, even under severe time-varying disturbances and when the pitch-tracking control performance is unsatisfactory.

Authors

Institutions

Publication Details

Journal
Symmetry
Published
2026-10-16
DOI
https://doi.org/10.3390/sym18101727
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Response-Tunable Adaptive LOS-Based Guidance for Depth-Tracking Control of Underactuated AUVs in the Presence of Time-Varying Disturbances

Gang Wan, Yang Qu, Zhiyuan Yin, Weijian Huang et al.
Symmetry
Underwater Vehicles and Communication Systems
article

Response-Tunable Adaptive LOS-Based Guidance for Depth-Tracking Control of Underactuated AUVs in the Presence of Time-Varying Disturbances

Gang Wan, Yang Qu, Zhiyuan Yin, Weijian Huang, Changxing Nie, Sisi Zhu, Xinyu Li
article en

Abstract

Autonomous underwater vehicles (AUVs) have been extensively employed in diverse marine applications, where depth-tracking control remains a critical technical challenge. Although previous studies have investigated various guidance law designs for underactuated AUVs, compensation for the attack-angle effect induced by heave velocity remains underexplored, particularly in the presence of extreme time-varying external disturbances and sharp path curvature variations. Existing line-of-sight (LOS) based methods, including integral LOS (ILOS) and adaptive LOS (ALOS), rely solely on the integral action of the pitch-tracking error to estimate the attack angle, which inevitably introduces inherent time-delay characteristics and induces overshoot and chattering in the depth-tracking response. Given that a system’s position and its velocity are uniquely determined by its acceleration, a response-tunable adaptive LOS (RTALOS) guidance design is proposed for AUV depth-tracking control task. This guidance law incorporates both the depth-tracking error and its velocity term as boundary constraints, generating an acceleration reference through a time-based planning polynomial to achieve accurate attack-angle estimation. The proposed method redefines attack-angle estimation as a new paradigm based on a second-order depth-tracking kinematic system, where the introduced velocity term acts as an adjustable damping effect to effectively suppress the depth-tracking overshoot and oscillation. Simulations were conducted to verify that the proposed guidance design could make the depth-tracking motion converge within a given time duration if the state-constrained acceleration was promptly executed. Compared to the selected ILOS and ALOS methods, the proposed RTALOS method can rapidly and accurately compensate for time-varying attack-angle effects via the estimation of attack angle, resulting in precise depth-tracking control performance, even under severe time-varying disturbances and when the pitch-tracking control performance is unsatisfactory.

SymmetryVol. 18(10)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 18%
Underwater Vehicles and Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.