中文 | English
合肥工业大学校徽 合肥工业大学学报自科版

导航菜单

离子电容和霍尔效应协同的柔性多维力传感器

Synergistic ionic capacitive and Hall effect-based flexible multi-dimensional force sensor

期刊信息

合肥工业大学(自然科学版),2026年5月,第49卷第5期:577-584,612

DOI: 10.3969/j.issn.1003-5060.2026.05.001

作者信息

潘明旭 $ ^{1} $,王帆 $ ^{1} $,刘家希 $ ^{1} $,赵吉宾 $ ^{1} $,朱伟 $ ^{2} $,刘平 $ ^{2} $

(1. 中国科学院沈阳自动化研究所,辽宁 沈阳 110169;2. 合肥工业大学微电子学院,安徽 合肥 230601)

摘要和关键词

摘要: 文章采用聚乙烯醇和纳米纤维素纤维作为基体, 以氯化钙和硼酸钠作为离子源, 并结合倒模工艺, 制备了一种基于离子介电层和皮革表层微结构的高灵敏度电容式压力传感单元, 该传感单元在 $ 0 \sim 500 \, kPa $ 压力传感范围下, 灵敏度高达 $ 24.6 \, kPa^{-1} $, 响应时间为 $ 35 \, ms $, 循环稳定性超过 1 000 次; 同时设计一种基于三轴霍尔芯片的切向力传感单元, 该传感单元切向力在 $ \pm 20 \, N $ 范围内, 检测的磁感应强度变化率约为 $ 1.362 \times 10^{-2} \, T/N $. 将所研制的压力传感单元与切向力传感单元集成得到一种机器人多维力传感器, 并将其应用于电力巡检机器人巡检时的插拔作业. 结果表明, 基于多维力传感器的信号特征, 该机器人可以实时监测并判断插拔作业中如滑移、正常、卡壳等典型工作状态, 有效提升了机器人作业过程的全程感知能力及安全程度.

关键词: 多维力传感器;电容式;霍尔式;插拔作业;智能机器人

Authors

PAN Mingxu $ ^{1} $, WANG Fan $ ^{1} $, LIU Jiaxi $ ^{1} $, ZHAO Jibin $ ^{1} $, ZHU Wei $ ^{2} $, LIU Ping $ ^{2} $

(1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China; 2. School of Microelectronics, Hefei University of Technology, Hefei 230601, China)

Abstract and Keywords

Abstract: A high-sensitivity capacitive pressure sensing unit was fabricated using polyvinyl alcohol (PVA) and nanocellulose fibers as the matrix and calcium chloride and sodium borate as ionic sources, combined with an inverse molding process. This unit, featuring an ionic dielectric layer with leather-inspired surface microstructure, demonstrates a maximum sensitivity of 24.6 kPa $ ^{-1} $ within 0-500 kPa, a response time of 35 ms, and cyclic stability exceeding 1 000 cycles. Meanwhile, a tangential force sensing unit based on a triaxial Hall chip was designed, showing a magnetic induction intensity variation rate of approximately 1.362×10 $ ^{-2} $ T/N over a tangential force range of ±20 N. By integrating the developed pressure and tangential force sensing units, a robotic multi-dimensional force sensor was constructed and applied to plugging/unplugging tasks of electric power inspection robots. Experimental results confirm that, based on multi-dimensional force sensor signal characteristics, the robot can monitor and discriminate typical states, such as slippage, normal operation, and jamming, in real time during plugging/unplugging operations, significantly enhancing the robot's operational perception and safety.

Keywords: multi-dimensional force sensor; capacitive; Hall effect-based; plugging/unplugging operations; intelligent robot

基金信息

国家重点研发计划资助项目(2024YFB4711204);浙江省科学技术厅领雁计划资助项目(2024C01150)

个人中心