信号(编程语言)
往复运动
摩擦电效应
纳米发生器
计算机科学
人工智能
机器人学
霍尔效应传感器
电气工程
工程类
材料科学
机器人
压电
复合材料
程序设计语言
方位(导航)
磁铁
作者
Shaoxin Li,Zhihao Zhao,Di Liu,Jie An,Yikui Gao,Linglin Zhou,Yanhong Li,Shengnan Cui,Jie Wang,Zhong Lin Wang
标识
DOI:10.1002/adma.202110363
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI