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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/41064

Title: Evolutionary computation applied to the Tuning of MEMS gyroscopes.
Authors: Keymeulen, Didier
Fink, Wolfgang
Ferguson, Michael I.
Peay, Chris
Oks, Boris
Terrile, Richard
Yee, Karl
Keywords: genetic algorithms
simulated annealing
dynamic hill climbing
evolvable hardware
gyroscopes
Microelectromechanical Systems (MEMS)
Issue Date: 25-Jun-2005
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2005.
Citation: Genetic and Evolutionary Computation Conference, Washington, D. C., June 25, 2005.
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.
URI: http://hdl.handle.net/2014/41064
Appears in Collections:JPL TRS 1992+

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