随着智能航行技术的不断发展,尤其在船舶姿态控制与状态感知系统中,对高精度、低功耗、可自供能的角度检测技术提出了更高要求。基于独立层式摩擦纳米发电机的静电感应耦合效应,本文构建了一种可实时检测船舶姿态角度的自驱动层叠式传感器,系统揭示了转动角度与角速度对输出特性的非线性响应规律。通过建立表面电荷密度与接触面积的正相关性模型,结合动态电容变化理论,阐明了输出电压和短路电流的电荷转移机理。对比传统磁电编码器,所提出的层叠式传感器通过优化柔性基底氟化乙烯丙烯薄膜的介电常数和表面微纳结构,检测船舶姿态角测量精度提升60%,可为船舶姿态控制系统中的舵角感知及螺旋桨转速调节提供低功耗、高鲁棒性的解决方案。
With the rapid advancement of intelligent navigation technologies, the demand for high-precision, low-power, and self-powered angle detection solutions has increased substantially in ship attitude control and state perception systems. In this study, a self-powered stacked-structured sensor is developed for the real-time detection of ship attitude angles, leveraging the electrostatic induction coupling effect of an independent-layer triboelectric nanogenerator. The nonlinear response of the output characteristics to rotational angle and angular velocity is systematically investigated. Combined with dynamic capacitance variation theory, a positive correlation model between surface charge density and contact area is established to elucidate the charge transfer mechanisms governing the output voltage and short-circuit current. Compared with conventional magnetic encoders, the stacked-structured sensor, optimized through the tuning of the dielectric constant and the micro–nano surface structures of a flexible fluorinated ethylene propylene film substrate, achieves a 60% enhancement in the measurement precision of ship attitude angle. This work provides a low-power, highly robust solution for ship angle sensing and propeller velocity regulation in ship attitude control systems.
2026,48(7): 173-178 收稿日期:2025-7-24
DOI:10.3404/j.issn.1672-7649.2026.07.028
分类号:U674
基金项目:国家自然科学基金资助项目(52401399)
作者简介:程辉(1984-),男,博士,工程师,研究方向为船舶智能航行
参考文献:
[1] 陈端迎, 刘宝华, 王彬, 等. 水下航行器航向测姿算法改进仿真研究[J]. 舰船科学技术, 2022, 44(3): 53-56 CHEN D Y, LIU B H, WANG B, et al. Simulation research on improved algorithm of underwater vehicle heading and attitude measurement[J]. Ship Science and Technology, 2022, 44(3): 53-56
[2] 黄应邦, 马胜伟, 吴洽儿. 船用行程传感器电磁干扰信号抑制算法研究[J]. 舰船科学技术, 2017, 39(17): 155-158 HUANG Y B, MA S W, WU Q E. Research on the suppression algorithm of electromagnetic interference signal of stroke sensor in maritime navigation[J]. Ship Science and Technology, 2017, 39(17): 155-158
[3] 李治远, 吴永亭, 胡俊, 等. 科考船传感器安装位置及偏角测定方法[J]. 舰船科学技术, 2019, 41(21): 81-85 LI Z Y, WU Y T, HU J, et al. The method to measure the installation location and misalignment angle of sensors on a research vessel[J]. Ship Science and Technology, 2019, 41(21): 81-85
[4] 李申芳, 王军雷, 王中林. 利用摩擦纳米发电机的流体能量俘获研究新进展[J]. 力学学报, 2021, 53(11): 2910-2927 LI S F, WANG J L, WANG Z L. Progression on fluid energy harvesting based on triboelectric nanogenerators[J]. Chinese Journal of Theoretical and Applied Mechanics, 2021, 53(11): 2910-2927
[5] 靳龙, 张磊, 张彬彬, 等. 摩擦纳米发电机在自驱动智能交通系统的应用研究进展[J]. 科技导报, 2022, 40(17): 63-75 JIN L, ZHANG L, ZHANG B B, et al. Application and research progress of triboelectric nanogenerator in self driving intelligent transportation system[J]. Science & Technology Review, 2022, 40(17): 63-75
[6] XU M, WANG Y C, ZHANG S L, et al. An aeroelastic flutter based triboelectric nanogenerator as a self-powered active wind speed sensor in harsh environment[J]. Extreme Mechanics Letters, 2017, 15: 122-129
[7] ZHANG B, ZHANG L, DENG W, et al. Self-powered acceleration sensor based on liquid metal triboelectric nanogenerator for vibration monitoring[J]. ACS Nano, 2017, 11(7): 7440-7446
[8] ZHANG S L, XU M, ZHANG C, et al. Rationally designed sea snake structure based triboelectric nanogenerators for effectively and efficiently harvesting ocean wave energy with minimized water screening effect[J]. Nano Energy, 2018, 48: 421-429
[9] WU Y, JING Q, CHEN J, et al. A self-powered angle measurement sensor based on triboelectric nanogenerator[J]. Advanced Functional Materials, 2015, 25(14): 2166-2174
[10] XU M, WANG P, WANG Y C, et al. A soft and robust spring based triboelectric nanogenerator for harvesting arbitrary directional vibration energy and self-powered vibration sensing[J]. Advanced Energy Materials, 2018, 8, 1702432.
[11] 许子彦, 温作相, 高浚桓. 基于混合式摩擦电-电磁纳米发电机的桥梁自供能监测系统[J]. 微纳电子技术, 2024, 61(10): 100404 XU Z Y, WEN Z X, GAO J H. Bridge self powered monitoring system based on hybridized triboelectric-electromagnetic nanogeneator[J]. Micronanoelectronic Technology, 2024, 61(10): 100404
[12] XU M, ZHAO T, WANG C, et al. High power density tower-like triboelectric nanogenerator for harvesting arbitrary directional water wave energy[J]. ACS Nano, 2019, 13(2): 1932-1939
[13] XIAO X, ZHANG X, WANG S, et al. Honeycomb structure inspired triboelectric nanogenerator for highly effective vibration energy harvesting and self-powered engine condition monitoring[J]. Advanced Energy Materials, 2019, 9(40): 1902460
[14] 高帅, 肖锦涛, 韩勤锴, 等. 具备保持架运动特性感测功能的摩擦自供电航天飞轮轴承[J]. 轴承, 2025(4): 22-28 GAO S, XIAO J T, HAN Q K, et al. Triboelectric self-powering aerospace flywheel bearing with kinematic sensing cage[J]. Bearing, 2025(4): 22-28
[15] LIU J, XU P, ZHENG J, et al. Whisker-inspired and self-powered triboelectric sensor for underwater obstacle detection and collision avoidance[J]. Nano Energy, 2022, 101: 107633
[16] XU P, ZHENG J, LIU J, et al. Deep learning assisted underwater 3D tactile tensegrity[J]. Research, 2023.
[17] GUO H, YEH M H, LAI Y C, et al. All-in-one shape-adaptive self-charging power package for wearable electronics[J]. ACS Nano, 2016, 10(11): 10580-10588
[18] LIU H F, LUO Z C, HU Z K, et al. A review of high-performance MEMS sensors for resource exploration and geophysical applications[J]. Petroleum Science, 2022, 19(6): 2631-2648
[19] JIN L, ZHANG L, ZHANG B, et al. Application and research progress of triboelectric nanogenerator in self driving intelligent transportation system[J]. Science & Technology Review, 2022, 40(17): 63-75