Journal of Electronic Testing

, Volume 28, Issue 5, pp 599–614

FPGA-based Novel Adaptive Scheme Using PN Sequences for Self-Calibration and Self-Testing of MEMS-based Inertial Sensors

  • Elie H. Sarraf
  • Ankit Kansal
  • Mrigank Sharma
  • Edmond Cretu
Article

DOI: 10.1007/s10836-012-5336-x

Cite this article as:
Sarraf, E.H., Kansal, A., Sharma, M. et al. J Electron Test (2012) 28: 599. doi:10.1007/s10836-012-5336-x

Abstract

We propose a novel adaptive technique based on pseudo-random (PN) sequences for self-calibration and self-testing of MEMS-based inertial sensors (accelerometers and gyroscopes). The method relies on using a parameterized behavioral model implemented on FPGA, whose parameters values are adaptively tuned, based on the response to test pseudo-random actuation of the physical structure. Dedicated comb drives actuate the movable mass with binary maximum length pseudo-random sequences of small amplitude, to keep the device within the linear operating regime. The frequency of the stimulus is chosen within the mechanical spectral operating range of the micro-device, such that the induced response leads to the identification of the mechanical transfer function, and to the tuning of the associated digital behavioral model. In case of a micro-gyroscope, experimental results demonstrate the adaptive tracking of the damping coefficient from 5.57 × 10−5Kg/s to 7.12 × 10−5Kg/s and of the stiffness coefficient from 132 N/m to 137.7 N/m. In the case of a MEMS accelerometer, the damping and stiffness coefficients are correctly tracked from 3.4 × 10−3Kg/s and 49.56 N/m to 4.57 × 10−3Kg/s and 51.48 N/m, respectively—the former values are designer-specified target values, while the latter are experimentally measured parameters for fabricated devices operating in a real environment. Hardware resources estimation confirms the small area the proposed algorithm occupies on the targeted FPGA device.

Keywords

PN sequencesImpulse-responseFPGAMEMSAccelerometerGyroscopeSelf-testingSelf-calibration

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Elie H. Sarraf
    • 1
  • Ankit Kansal
    • 2
  • Mrigank Sharma
    • 1
  • Edmond Cretu
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of British ColumbiaVancouverCanada
  2. 2.Department of Electrical EngineeringIndian Institute of TechnologyDelhiIndia