A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles
Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self‐powered dual‐type signal triboelectric nanogenerator (DS‐TENG) is designe...
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Veröffentlicht in: | Advanced materials (Weinheim) 2022-04, Vol.34 (14), p.e2110363-n/a |
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creator | Li, Shaoxin Zhao, Zhihao Liu, Di An, Jie Gao, Yikui Zhou, Linglin Li, Yanhong Cui, Shengnan Wang, Jie Wang, Zhong Lin |
description | Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self‐powered dual‐type signal triboelectric nanogenerator (DS‐TENG) is designed through integrating an alternating‐current TENG and a direct‐current TENG, which can monitor vector movement in real time based on pulse signal counts. As a result, the DS‐TENG avoids the shortcoming of traditional self‐powered sensors based on signal amplitude that is sensitive to the working environment, achieves a high sensing precision, and maintains stability after reciprocating motion of 500 000 cycles. Moreover, it realizes effective movement direction recognition by self‐powered switching of signal type in reverse movement. This dual‐type signal TENG exhibits high precision and automatic direction recognition in vector motion monitor and trajectory tracker, paving the way for the application of the self‐powered TENG sensor in automatic control systems in the future.
A self‐powered dual‐type signal vector sensor is designed by integrating an alternating‐current triboelectric nanogenerator (TENG) and a direct‐current TENG, which achieves a high sensing precision and stability, and provides an effective movement direction recognition method by self‐powered switching of signal type in real‐time motion monitoring of a mechanical arm and automatic steering wheel. |
doi_str_mv | 10.1002/adma.202110363 |
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A self‐powered dual‐type signal vector sensor is designed by integrating an alternating‐current triboelectric nanogenerator (TENG) and a direct‐current TENG, which achieves a high sensing precision and stability, and provides an effective movement direction recognition method by self‐powered switching of signal type in real‐time motion monitoring of a mechanical arm and automatic steering wheel.</description><identifier>ISSN: 0935-9648</identifier><identifier>EISSN: 1521-4095</identifier><identifier>DOI: 10.1002/adma.202110363</identifier><identifier>PMID: 35122332</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Automatic control systems ; automatic robotics ; automatic vehicles ; Motion stability ; Movement ; Nanogenerators ; real‐time monitoring vector movement ; Recognition ; Robotics ; self‐powered vector sensors ; triboelectric nanogenerators ; Working conditions</subject><ispartof>Advanced materials (Weinheim), 2022-04, Vol.34 (14), p.e2110363-n/a</ispartof><rights>2022 Wiley‐VCH GmbH</rights><rights>2022 Wiley-VCH GmbH.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3733-6abc23e4172390e764d24206ec08ef983e5515900c4d66070ae65d70dc25ba513</citedby><cites>FETCH-LOGICAL-c3733-6abc23e4172390e764d24206ec08ef983e5515900c4d66070ae65d70dc25ba513</cites><orcidid>0000-0003-4470-6171</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fadma.202110363$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fadma.202110363$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35122332$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Shaoxin</creatorcontrib><creatorcontrib>Zhao, Zhihao</creatorcontrib><creatorcontrib>Liu, Di</creatorcontrib><creatorcontrib>An, Jie</creatorcontrib><creatorcontrib>Gao, Yikui</creatorcontrib><creatorcontrib>Zhou, Linglin</creatorcontrib><creatorcontrib>Li, Yanhong</creatorcontrib><creatorcontrib>Cui, Shengnan</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><creatorcontrib>Wang, Zhong Lin</creatorcontrib><title>A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles</title><title>Advanced materials (Weinheim)</title><addtitle>Adv Mater</addtitle><description>Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self‐powered dual‐type signal triboelectric nanogenerator (DS‐TENG) is designed through integrating an alternating‐current TENG and a direct‐current TENG, which can monitor vector movement in real time based on pulse signal counts. As a result, the DS‐TENG avoids the shortcoming of traditional self‐powered sensors based on signal amplitude that is sensitive to the working environment, achieves a high sensing precision, and maintains stability after reciprocating motion of 500 000 cycles. Moreover, it realizes effective movement direction recognition by self‐powered switching of signal type in reverse movement. This dual‐type signal TENG exhibits high precision and automatic direction recognition in vector motion monitor and trajectory tracker, paving the way for the application of the self‐powered TENG sensor in automatic control systems in the future.
A self‐powered dual‐type signal vector sensor is designed by integrating an alternating‐current triboelectric nanogenerator (TENG) and a direct‐current TENG, which achieves a high sensing precision and stability, and provides an effective movement direction recognition method by self‐powered switching of signal type in real‐time motion monitoring of a mechanical arm and automatic steering wheel.</description><subject>Automatic control systems</subject><subject>automatic robotics</subject><subject>automatic vehicles</subject><subject>Motion stability</subject><subject>Movement</subject><subject>Nanogenerators</subject><subject>real‐time monitoring vector movement</subject><subject>Recognition</subject><subject>Robotics</subject><subject>self‐powered vector sensors</subject><subject>triboelectric nanogenerators</subject><subject>Working conditions</subject><issn>0935-9648</issn><issn>1521-4095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkD1PwzAQhi0EglJYGVEkFpaUsx079Ri1fEkgEBQWhsh1LpAqqUucqOrGT-A38ktwVD4kFqb3Tnruke4l5IDCgAKwE51VesCAUQpc8g3So4LRMAIlNkkPFBehktFwh-w6NwMAJUFukx0uKGOcsx55SoJ7LPOPt_dbu8Qas2Dc6tKvk9UCg_viea7L4BFNY2sPzp2PvBsrXTfBnZ3apjAu0PMsSNrGVtqvHn8pTIluj2zlunS4_5V98nB2OhldhFc355ej5Co0POY8lHpqGMeIxowrwFhGGYsYSDQwxFwNOQpBhQIwUSYlxKBRiiyGzDAx1YLyPjleexe1fW3RNWlVOINlqedoW5cyySRARGXs0aM_6My2tf-xo6JY0lhBJxysKVNb52rM00Vd-I9XKYW0qz3tak9_avcHh1_adlph9oN_9-wBtQaWRYmrf3RpMr5OfuWfLJWN7w</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Li, Shaoxin</creator><creator>Zhao, Zhihao</creator><creator>Liu, Di</creator><creator>An, Jie</creator><creator>Gao, Yikui</creator><creator>Zhou, Linglin</creator><creator>Li, Yanhong</creator><creator>Cui, Shengnan</creator><creator>Wang, Jie</creator><creator>Wang, Zhong Lin</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4470-6171</orcidid></search><sort><creationdate>20220401</creationdate><title>A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles</title><author>Li, Shaoxin ; Zhao, Zhihao ; Liu, Di ; An, Jie ; Gao, Yikui ; Zhou, Linglin ; Li, Yanhong ; Cui, Shengnan ; Wang, Jie ; Wang, Zhong Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3733-6abc23e4172390e764d24206ec08ef983e5515900c4d66070ae65d70dc25ba513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Automatic control systems</topic><topic>automatic robotics</topic><topic>automatic vehicles</topic><topic>Motion stability</topic><topic>Movement</topic><topic>Nanogenerators</topic><topic>real‐time monitoring vector movement</topic><topic>Recognition</topic><topic>Robotics</topic><topic>self‐powered vector sensors</topic><topic>triboelectric nanogenerators</topic><topic>Working conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Shaoxin</creatorcontrib><creatorcontrib>Zhao, Zhihao</creatorcontrib><creatorcontrib>Liu, Di</creatorcontrib><creatorcontrib>An, Jie</creatorcontrib><creatorcontrib>Gao, Yikui</creatorcontrib><creatorcontrib>Zhou, Linglin</creatorcontrib><creatorcontrib>Li, Yanhong</creatorcontrib><creatorcontrib>Cui, Shengnan</creatorcontrib><creatorcontrib>Wang, Jie</creatorcontrib><creatorcontrib>Wang, Zhong Lin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><jtitle>Advanced materials (Weinheim)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Shaoxin</au><au>Zhao, Zhihao</au><au>Liu, Di</au><au>An, Jie</au><au>Gao, Yikui</au><au>Zhou, Linglin</au><au>Li, Yanhong</au><au>Cui, Shengnan</au><au>Wang, Jie</au><au>Wang, Zhong Lin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles</atitle><jtitle>Advanced materials (Weinheim)</jtitle><addtitle>Adv Mater</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>34</volume><issue>14</issue><spage>e2110363</spage><epage>n/a</epage><pages>e2110363-n/a</pages><issn>0935-9648</issn><eissn>1521-4095</eissn><abstract>Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self‐powered dual‐type signal triboelectric nanogenerator (DS‐TENG) is designed through integrating an alternating‐current TENG and a direct‐current TENG, which can monitor vector movement in real time based on pulse signal counts. As a result, the DS‐TENG avoids the shortcoming of traditional self‐powered sensors based on signal amplitude that is sensitive to the working environment, achieves a high sensing precision, and maintains stability after reciprocating motion of 500 000 cycles. Moreover, it realizes effective movement direction recognition by self‐powered switching of signal type in reverse movement. This dual‐type signal TENG exhibits high precision and automatic direction recognition in vector motion monitor and trajectory tracker, paving the way for the application of the self‐powered TENG sensor in automatic control systems in the future.
A self‐powered dual‐type signal vector sensor is designed by integrating an alternating‐current triboelectric nanogenerator (TENG) and a direct‐current TENG, which achieves a high sensing precision and stability, and provides an effective movement direction recognition method by self‐powered switching of signal type in real‐time motion monitoring of a mechanical arm and automatic steering wheel.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>35122332</pmid><doi>10.1002/adma.202110363</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4470-6171</orcidid></addata></record> |
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subjects | Automatic control systems automatic robotics automatic vehicles Motion stability Movement Nanogenerators real‐time monitoring vector movement Recognition Robotics self‐powered vector sensors triboelectric nanogenerators Working conditions |
title | A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles |
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