An effective fault-tolerant control with slime mold algorithm for unmanned underwater vehicle

The proposed fault-tolerant control strategy based on the slime mold algorithm (FTC-SMA) enhances the resilience of multi-thruster unmanned underwater vehicles against thrust loss. In the event of a propulsion system failure, the strategy enables rapid thrust redistribution to restore the original torque and sailing direction, even in the event of a catastrophic thruster failure. This strategy follows the physical limits of the thruster and can effectively solve the over-actuated problem. The effectiveness, efficiency, and stability of FTC-SMA are confirmed through simulation experiments under various fault conditions, demonstrating significant improvements over other algorithms such as particle swarm optimization and grasshopper optimization algorithm.

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Publication Details

Journal
Intelligence & Robotics
Published
2025-03-27
DOI
https://doi.org/10.20517/ir.2025.14
Citations
2
Primary Topic
Slime Mold and Myxomycetes Research
Type
article
Field-Weighted Citation Impact
1.35
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article

An effective fault-tolerant control with slime mold algorithm for unmanned underwater vehicle

Daqi Zhu, Simon X. Yang, Chunhua Gu, Tianhong Zeng
2 citations
Intelligence & Robotics
Slime Mold and Myxomycetes Research
1.35
article

An effective fault-tolerant control with slime mold algorithm for unmanned underwater vehicle

Daqi Zhu, Simon X. Yang, Chunhua Gu, Tianhong Zeng
article en
2 citations

Abstract

The proposed fault-tolerant control strategy based on the slime mold algorithm (FTC-SMA) enhances the resilience of multi-thruster unmanned underwater vehicles against thrust loss. In the event of a propulsion system failure, the strategy enables rapid thrust redistribution to restore the original torque and sailing direction, even in the event of a catastrophic thruster failure. This strategy follows the physical limits of the thruster and can effectively solve the over-actuated problem. The effectiveness, efficiency, and stability of FTC-SMA are confirmed through simulation experiments under various fault conditions, demonstrating significant improvements over other algorithms such as particle swarm optimization and grasshopper optimization algorithm.

Intelligence & RoboticsVol. 5(2)
University of Shanghai for Science and Technology (CN)
Openalex Percentile: Top 21%
Slime Mold and Myxomycetes Research
1.35
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An effective fault-tolerant control with slime mold algorithm for unmanned underwater vehicle — Daqi Zhu, Simon X. Yang, et al. · Intelligence & Robotics (2025) | TGRS Research Map | TGRS