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Title: Tuning of MEMS gyroscope using evolutionary algorithm and "switched drive-angle" method.
Authors: Keymeulen, Didier
Ferguson, Michael I.
Breuer, Luke
Peay, Chris
Oks, Boris
Cheng, Yen
Kim, Dennis
MacDonald, Eric
Foor, David
Terrile, Rich
Yee, Karl
Keywords: genetic algorithms
simulated annealing
evolvable hardware
Micro-Electro-Mechanical Systems (MEMS)
post resonator gyro (PRG)
Field Programmable Gate Array (FPGA)
Issue Date: 6-Mar-2006
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2006.
Citation: IEEE Aerospace Conference, Big Sky, Montana, March 4-11, 2006.
Abstract: We propose a tuning method for Micro-Electro-Mechanical Systems (MEMS) gyroscopes based on evolutionary computation that has the capacity to efficiently increase the sensitivity of MEMS gyroscopes through tuning and, furthermore, to find the optimally tuned configuration for this state of increased sensitivity. We present the results of an experiment to determine the speed and efficiency of an evolutionary algorithm applied to electrostatic tuning of MEMS micro gyros. The MEMS gyro used in this experiment is a pyrex post resonator gyro (PRG) in a closed-loop control system. A measure of the quality of tuning is given by the difference in resonant frequencies, or frequency split, for the two orthogonal rocking axes. The current implementation of the closed-loop platform is able to measure and attain a relative stability in the sub-millihertz range, leading to a reduction of the frequency split to less than 100 mHz.
Appears in Collections:JPL TRS 1992+

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