SIA OpenIR  > 机器人学研究室
Alternative TitleReal-time feedback method based on probability estimation in nanometer operating task space
刘连庆; 袁帅; 王越超; 董再励; 侯静; 王智宇
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention discloses a real-time feedback method based on probability estimation in a nanometer operating task space, in order to promote the positioning precision and operating efficiency of a probe in a nanometer operating process based on AFM (Atomic Force Microscopy). The real-time feedback method comprises the following steps of: a) establishing a probe driving model b) establishing a probe observing model and c) using a Kalman filter or Particle filter to calculate an optimum position of the probe. The real-time feedback method provided by the invention further comprises the following steps of: executing quick local scanning, and displaying the position of the probe and the state of an operated nanometer object by using a nanometer operating feedback interface real-time display. The real-time feedback method provided by the invention has the advantages that: 1) the control precision of the probe is increased, thereby increasing the positioning accuracy in the task space, and 2) the position of the probe and the position of the operated nanometer object can be estimated in real time and can be displayed in a nanometer operating feedback interface, thereby promoting the operating efficiency.
PCT Attributes
Application Date2010-07-28
Application NumberCN201010238775.4
Open (Notice) NumberCN102338811A
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
刘连庆,袁帅,王越超,等. 在纳米操作任务空间中基于概率预估的实时反馈方法[P]. 2012-02-01.
Files in This Item: Download All
File Name/Size DocType Version Access License
CN201010238775.4.pdf(938KB)专利 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[刘连庆]'s Articles
[袁帅]'s Articles
[王越超]'s Articles
Baidu academic
Similar articles in Baidu academic
[刘连庆]'s Articles
[袁帅]'s Articles
[王越超]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[刘连庆]'s Articles
[袁帅]'s Articles
[王越超]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: CN201010238775.4.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.