Acoustics-Driven Performance Enhancement in Underwater Vehicles: From Component Innovation to Intelligent Actuation

Underwater vehicles (UVs) are pivotal for ocean exploration, yet their effectiveness is fundamentally constrained by acoustic performance in noisy and dynamic seas. Self-noise, non-stationary interference, and extreme conditions not only degrade sensing, navigation, and stealth but also cascade into losses in propulsion efficiency, actuation reliability, and control precision. This review provides a system-performance-oriented synthesis of advances across four key areas: bioinspired and intelligent noise reduction materials/structures, active noise control and adaptive signal processing, noise-robust navigation and collaborative localization, and deep learning-enhanced acoustic perception. Key findings indicate that bioinspired surfaces reduce flow noise by ≈5 dB, adaptive filtering improves SNR by up to 20 dB, and distributed robust filtering ensures multi-AUV consistency under uncertainty. These developments collectively establish acoustic performance not as a parallel metric, but as a fundamental enabler and critical bottleneck for the integrated propulsion-actuation-control stack of next-generation UVs. Consequently, this review outlines viable pathways toward high-performance acoustic–mechanical integration.

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Publication Details

Journal
Actuators
Published
2026-04-01
DOI
https://doi.org/10.3390/act15040194
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Acoustics-Driven Performance Enhancement in Underwater Vehicles: From Component Innovation to Intelligent Actuation

Shiquan Lan, Dongyang Xue, L.R. Chen, Xuehao Wang et al.
Actuators
Underwater Vehicles and Communication Systems
article

Acoustics-Driven Performance Enhancement in Underwater Vehicles: From Component Innovation to Intelligent Actuation

Shiquan Lan, Dongyang Xue, L.R. Chen, Xuehao Wang, Zihao Wang, Yaqiang Zhu, Cheng Chen, Danlu Wang, Shuai Li
article en

Abstract

Underwater vehicles (UVs) are pivotal for ocean exploration, yet their effectiveness is fundamentally constrained by acoustic performance in noisy and dynamic seas. Self-noise, non-stationary interference, and extreme conditions not only degrade sensing, navigation, and stealth but also cascade into losses in propulsion efficiency, actuation reliability, and control precision. This review provides a system-performance-oriented synthesis of advances across four key areas: bioinspired and intelligent noise reduction materials/structures, active noise control and adaptive signal processing, noise-robust navigation and collaborative localization, and deep learning-enhanced acoustic perception. Key findings indicate that bioinspired surfaces reduce flow noise by ≈5 dB, adaptive filtering improves SNR by up to 20 dB, and distributed robust filtering ensures multi-AUV consistency under uncertainty. These developments collectively establish acoustic performance not as a parallel metric, but as a fundamental enabler and critical bottleneck for the integrated propulsion-actuation-control stack of next-generation UVs. Consequently, this review outlines viable pathways toward high-performance acoustic–mechanical integration.

ActuatorsVol. 15(4)
Tianjin University of Commerce (CN), Tianjin University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Tianjin City
Openalex Percentile: Top 34%
Underwater Vehicles and Communication Systems
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