Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review
文献类型:期刊论文
作者 | Liang, Qiaokang1,2; Zou, Kunlin1,2; Long, Jianyong3; Jin, Jing4; Zhang, Dan5; Coppola, Gianmarc6; Sun, Wei1,2; Wang, Yaonan1,2; Ge, Yunjian7 |
刊名 | IEEE SENSORS JOURNAL
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出版日期 | 2018-09-15 |
卷号 | 18期号:18页码:7345-7357 |
关键词 | Force and moment sensing opto-electric detecting technology robotic sensory system review of technology |
ISSN号 | 1530-437X |
DOI | 10.1109/JSEN.2018.2861014 |
通讯作者 | Liang, Qiaokang(qiaokang@hnu.edu.cn) ; Zhang, Dan(dzhang99@yorku.ca) ; Sun, Wei(wei_sun@hnu.edu.cn) |
英文摘要 | A multi-component force sensing system, capable of monitoring multiple components of force terms along x-, y-, and z-axis (F-x, F-y, and F-z) and the moments terms about x-, y-, and z-axis (M-x, M-y, and M-z) simultaneously, has been utilized in a huge variety of automation systems since 1970s. Fiber Bragg grating (FBG)-based sensing systems offer a significant viable with numerous competitive advantages over traditional force sensing systems such as immunity to electromagnetic interference, high sensitivity, larger sensing range, light weight, small size, intrinsically safe in the explosive environments, and multiplexing capabilities. Recently, a number of applications, such as robotic manipulation and robot-assisted surgery, have benefited from the developments in FBG-based force sensing systems. This paper presents a comprehensive review of different force transduction principles, state-of-the-art designs, and development methods, as well as their significances and limitations. Meanwhile, some of the significant developments in an FBG-based force sensing technology during the last few decades are surveyed, and current challenges in implementing the FBG-based force sensing technology is highlighted. |
WOS关键词 | BRAGG GRATING SENSORS ; MINIMALLY INVASIVE SURGERY ; FIBER-OPTIC SENSOR ; TACTILE SENSORS ; ROBOTIC APPLICATIONS ; STRAIN-MEASUREMENT ; TEMPERATURE ; SENSITIVITY ; LOAD ; DESIGN |
资助项目 | National Nature Science Foundation of China[NSFC 61673163] ; Hunan Provincial Natural Science Foundation of China[2016JJ3045] ; Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing[IRT2018003] |
WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000443017200001 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/38130] ![]() |
专题 | 合肥物质科学研究院_中科院合肥智能机械研究所 |
通讯作者 | Liang, Qiaokang; Zhang, Dan; Sun, Wei |
作者单位 | 1.Hunan Univ, Coll Elect & Informat Engn, Hunan Key Lab Intelligent Robot Technol Elect Mfg, Changsha 410082, Hunan, Peoples R China 2.Hunan Univ, Natl Engn Lab Robot Vis Percept & Control, Changsha 410082, Hunan, Peoples R China 3.Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China 4.Hunan Univ, Coll Elect & Informat Engn, Automat, Changsha 410082, Hunan, Peoples R China 5.York Univ, Dept Mech Engn, Adv Robot & Mechatron, Lassonde Sch Engn, Toronto, ON M3J 1P3, Canada 6.Univ Ontario Inst Technol, Fac Engn & Appl Sci, Oshawa, ON L1H 7K4, Canada 7.Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China |
推荐引用方式 GB/T 7714 | Liang, Qiaokang,Zou, Kunlin,Long, Jianyong,et al. Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review[J]. IEEE SENSORS JOURNAL,2018,18(18):7345-7357. |
APA | Liang, Qiaokang.,Zou, Kunlin.,Long, Jianyong.,Jin, Jing.,Zhang, Dan.,...&Ge, Yunjian.(2018).Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review.IEEE SENSORS JOURNAL,18(18),7345-7357. |
MLA | Liang, Qiaokang,et al."Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review".IEEE SENSORS JOURNAL 18.18(2018):7345-7357. |
入库方式: OAI收割
来源:合肥物质科学研究院
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