中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study of nano-manipulation approach based on the least action principle using AFM based robotic system

文献类型:会议论文

作者Yuan S(袁帅); Liu LQ(刘连庆); Wang ZD(王志东); Wang YC(王越超)
出版日期2017
会议日期July 26-28, 2017
会议地点Dalian, China
关键词Least Action Principle Afm Nano-manipulation
页码4424-4429
英文摘要

Atomic force microscopy (AFM) is originally used to observe the sample surface, and then extended to the area of nano-manipulation. It can be quite valuable in the further study of maneuvering nano-particles. Because of the influence of the tip morphology on the tip pushing direction, it is difficult to establish an effective operating model for stably manipulating nanoparticles with controllable manipulation results. To resolve this problem, the acting force of manipulating the nano-particle is analyzed firstly based on the least action principle. Then the influence of the contact point between the nano-particle and the tip is taken into account on the pushing direction, and manipulation of the nano-particle is modeled to predict its position after manipulation. Next, the model parameter is calibrated through several tests. Finally, the proposed model is verified by assembling the nano-structure. The experimental results illustrate that the model can effectively predict the nano-particle position after maneuvering, and can improve the manipulation efficiency.

源文献作者Dalian University of Technology ; Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
产权排序1
会议录Proceedings of the 36th Chinese Control Conference, CCC 2017
会议录出版者IEEE Computer Society
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号1934-1768
ISBN号978-1-5386-2918-5
WOS记录号WOS:000432014405004
源URL[http://ir.sia.cn/handle/173321/21355]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Yuan S(袁帅)
作者单位1.Shenyang Jianzhu University, Shenyang 110168, China
2.Dept.of Industrial and Manufacturing Systems Engineering, Emerging Technologies Institute, University of Hong Kong, Hong Kong
3.State Key Lab. Robot., Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4.Graduate University, Chinese Academy of Sciences, Beijing 100039, China
5.Dept.of Advanced Robotics, Chiba Institute of Technology, Chiba 275-0016, Japan
推荐引用方式
GB/T 7714
Yuan S,Liu LQ,Wang ZD,et al. Study of nano-manipulation approach based on the least action principle using AFM based robotic system[C]. 见:. Dalian, China. July 26-28, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。