Improved APF-based real-time path planning and control of underactuated AUVs in complex marine environments

Abstract This paper proposes an integrated path planning and tracking method for autonomous underwater vehicles (AUVs) to maintain a path without collision in complex marine environments. For the path planning approach, an improved artificial potential field algorithm is proposed by introducing and combining a logarithmic function, a distance compensation term, a virtual obstacle construction method, and a velocity repulsive potential field function, which effectively solves the problem of the goal non-reachable with obstacle nearby, local minimum and dynamic obstacles avoidance. For the tracking control method, an adaptive fixed-time integral sliding mode controller is presented to track the planned path for collision avoidance maneuvers. Stability analysis proves that the proposed control strategy can make the tracking errors of the AUV converge to arbitrarily small neighborhood of the origin within a fixed-time independent of the initial conditions. The results of the simulation show that the proposed approach is capable of effectively achieving real-time path planning and tracking control of AUVs in marine environments with complex obstacle.

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Publication Details

Journal
Measurement Science and Technology
Published
2025-03-20
DOI
https://doi.org/10.1088/1361-6501/adbf3e
Citations
2
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
2.55

Funders

Controls
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article

Improved APF-based real-time path planning and control of underactuated AUVs in complex marine environments

Longjin Wang, Shun An, Zhiyang Wang, Zhimin Fan et al.
2 citations
Measurement Science and Technology
Robotic Path Planning Algorithms
2.55
article

Improved APF-based real-time path planning and control of underactuated AUVs in complex marine environments

Longjin Wang, Shun An, Zhiyang Wang, Zhimin Fan, Yang Liu, Fang Deng
article en
2 citations

Abstract

Abstract This paper proposes an integrated path planning and tracking method for autonomous underwater vehicles (AUVs) to maintain a path without collision in complex marine environments. For the path planning approach, an improved artificial potential field algorithm is proposed by introducing and combining a logarithmic function, a distance compensation term, a virtual obstacle construction method, and a velocity repulsive potential field function, which effectively solves the problem of the goal non-reachable with obstacle nearby, local minimum and dynamic obstacles avoidance. For the tracking control method, an adaptive fixed-time integral sliding mode controller is presented to track the planned path for collision avoidance maneuvers. Stability analysis proves that the proposed control strategy can make the tracking errors of the AUV converge to arbitrarily small neighborhood of the origin within a fixed-time independent of the initial conditions. The results of the simulation show that the proposed approach is capable of effectively achieving real-time path planning and tracking control of AUVs in marine environments with complex obstacle.

Measurement Science and TechnologyVol. 36(4)
Qingdao University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Robotic Path Planning Algorithms
2.55
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Improved APF-based real-time path planning and control of underactuated AUVs in complex marine environments — Longjin Wang, Shun An, et al. · Measurement Science and Technology (2025) | TGRS Research Map | TGRS