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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/39623

Title: Hardware platforms for MEMS gyroscope tuning based on evolutionary computation using open-loop and closed -loop frequency response.
Authors: Keymeulen, Didier
Ferguson, Michael I.
Fink, Wolfgang
Oks, Boris
Peay, Chris
Terrile, Richard
Cheng, Yen
Kim, Dennis
MacDonald, Eric
Foor, David
Keywords: genetic algorithms
simulated annealing
evolvable hardware
gryroscope
MEMS
Issue Date: 12-Sep-2005
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
Citation: International Conference on Evolvable Systems, Barcelona, Spain, September 12-14, 2005.
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.
URI: http://hdl.handle.net/2014/39623
Appears in Collections:JPL TRS 1992+

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