Evolvable Hardware pp 209-222

Part of the Genetic and Evolutionary Computation book series (GEVO) | Cite as

Hardware Platforms for Electrostatic Tuning of Mems Gyroscope Using Nature-Inspired Computation

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

Abstract

We propose a tuning method for Micro-Electro-Mechanical Systems (MEMS) gyroscopes based on evolutionary computation to increase the accuracy of MEMS gyroscopes through electrostatic 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 and preliminary results of a hardware platform for integrated tuning based on “switched drive-angle” of MEMS gyroscopes whereby the same gyro is operated with its drive direction first at 0° and then at 90°. 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.

Key words

MEMS tuning genetic algorithm simulated annealing FPGA 

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Copyright information

© Springer Science+Business Media, LLC. 2006

Authors and Affiliations

  • Didier Keymeulen
    • 1
  • Michael I. Ferguson
    • 1
  • Luke Breuer
    • 1
  • Wolfgang Fink
    • 1
  • Boris Oks
    • 1
  • Chris Peay
    • 1
  • Richard Terrile
    • 1
  • Yen-Cheng 
    • 2
  • Dennis Kim
    • 2
  • Eric MacDonald
    • 3
  • David Foor
    • 4
  1. 1.Jet Propulsion LaboratoryPasadenaUSA
  2. 2.Mechanical and Aerospace Engineering DepartmentUniversity of CaliforniaLos Angeles
  3. 3.University of Texas at El PasoEl Paso
  4. 4.Texas A&M University-KingsvilleKingsville

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