Hardware platforms for MEMS gyroscope tuning based on evolutionary computation using open-loop and closed-loop frequency response

Didier Keymeulen, Michael I. Ferguson, Wolfgang Fink, Boris Oks, Chris Peay, Richard Terrile, Yen-Cheng, Dennis Kim, Eric MacDonald, David Foor

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

1 Scopus citations

Abstract

We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning. The tuning method was tested for the second generation JPL/Boeing Post-resonator MEMS gyroscope using the measurement of the frequency response of the MEMS device in open-loop operation We also report on the development of a hardware platform for integrated tuning and closed-loop operation of MEMS gyroscopes. The control of this device is implemented through a digital design on a Field Programmable Gate Array (FPGA). The hardware platform easily transitions to an embedded solution that allows for the miniaturization of the system to a single chip.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages215-226
Number of pages12
DOIs
StatePublished - 2005
Event6th International Conference on Evolvable Systems: From Biology to Hardware, ICES 2005 - Sitges, Spain
Duration: Sep 12 2005Sep 14 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3637 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Evolvable Systems: From Biology to Hardware, ICES 2005
Country/TerritorySpain
CitySitges
Period9/12/059/14/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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