Capacitance ratio estimation on a novel MEMS tactile sensor for elasticity measurement

Peng Peng, Rajesh Rajamani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper develops a real-time capacitance ratio estimation system for a novel MEMS tactile sensor that can provide elasticity measurement of a variety of target objects. The tactile sensor is developed by this team for in-vivo tissue elasticity measurements and can be installed on a hand-held probe or on minimally invasive surgical instruments. The sensor readout consists of two channels of capacitance values and the ratio of these capacitance values needs to be reliably estimated in real-time. The proposed estimation algorithm utilizes a recursive least squares method with adaptive forgetting factors, which provides reliable elasticity measurement of polymer specimens and quickly detects changes in elasticity. Extensive experimental results are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
Pages3459-3464
Number of pages6
StatePublished - Sep 29 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: Jun 29 2011Jul 1 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2011 American Control Conference, ACC 2011
CountryUnited States
CitySan Francisco, CA
Period6/29/117/1/11

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