Evolutionary computation applied to the tuning of MEMS gyroscopes

Didier Keymeulen, Wolfgang Fink, Michael I. Ferguson, Chris Peay, Boris Oks, Richard Terrile, Karl Yee

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

9 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 and, furthermore, to find the optimally tuned configuration for this state of increased sensitivity. 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.

Original languageEnglish (US)
Title of host publicationGECCO 2005 - Genetic and Evolutionary Computation Conference
EditorsH.G. Beyer, U.M. O'Reilly, D. Arnold, W. Banzhaf, C. Blum, E.W. Bonabeau, E. Cantu-Paz, D. Dasgupta, K. Deb, al et al
Pages927-932
Number of pages6
DOIs
StatePublished - 2005
Externally publishedYes
EventGECCO 2005 - Genetic and Evolutionary Computation Conference - Washington, D.C., United States
Duration: Jun 25 2005Jun 29 2005

Publication series

NameGECCO 2005 - Genetic and Evolutionary Computation Conference

Other

OtherGECCO 2005 - Genetic and Evolutionary Computation Conference
Country/TerritoryUnited States
CityWashington, D.C.
Period6/25/056/29/05

Keywords

  • Dynamic Hill Climbing
  • Evolvable Hardware
  • Genetic Algorithms
  • Gyroscope
  • MEMS
  • Simulated Annealing

ASJC Scopus subject areas

  • General Engineering

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