Advertisement

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
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3637)

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.

Keywords

Bias Voltage Field Programmable Gate Array Finite Impulse Response Hardware Platform Automatic Gain Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Leland, R.P.: Adaptive mode tuning vibrational gyroscopes. IEEE Trans. Control Systems Tech. 11(2), 242–247 (2003)CrossRefGoogle Scholar
  2. 2.
    Painer, C.C., Shkel, A.M.: Active structural error suppression in MEMS vibratory rate integrating gyroscopes. IEEE Sensors Journal 3(5), 595–606 (2003)CrossRefGoogle Scholar
  3. 3.
    Chen, Y., M’Closkey, R., Tran, T., Blaes, B.: A control and signal processing integrated circuit for the JPL-Boeing micromachined gyroscopes (submitted to IEEE)Google Scholar
  4. 4.
    Terrile, R.J., et al.: Evolutionary Computation Technologies for Space Systems. In: Proceedings of the IEEE Aerospace Conference, Big Sky (March 2005)Google Scholar
  5. 5.
    Holland, J.H.: Adaptation in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor (1975)Google Scholar
  6. 6.
    Yuret, D., de la Maza, M.: Dynamic Hill Climbing – Overcoming limitations of optimization teqniques, MA 02139, AI Laboratory. MIT, CambridgeGoogle Scholar
  7. 7.
    Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H., Teller, E.: Equation of State Calculation by Fast Computing Machines. J. of Chem. Phys. 21, 1087–1091 (1953)CrossRefGoogle Scholar
  8. 8.
    Kirkpatrick, S., Gelat, C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science 220, 671–680 (1983)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Hayworth, K.: Continuous Tuning and Calibration of Vibratory Gyroscopes. In: NASA Tech Brief (October 2003) (NPO-30449)Google Scholar
  10. 10.
    Ferguson, M.I., Keymeulen, D., Peay, C., Yee, K., Li, D.: Effect of Temperature on MEMS Vibratory Rate Gyroscope. In: Proceedings of the IEEE Aerospace Conference, Big Sky (March 2005)Google Scholar
  11. 11.
    Hayworth, K., Shcheglov, K., Humphreys, T., Challoner, A.: Electrostatic Spring Softening in Redundant Degree of Freedom resonators., patent US 6,823,734 B1, JPL and Boeing, November 30 (2004)Google Scholar
  12. 12.
    M’Closkey, R., Kim, D.: Real-time tuning of JPL-Boeing MEMS gyro., personal communication, JPL (March 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Didier Keymeulen
    • 1
  • Michael I. Ferguson
    • 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 Laboratory, MS 303-300PasadenaUSA
  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

Personalised recommendations