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Evolutionary Computation Applied to the Tuning of MEMS GyroscopesWe 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.
Document ID
20090007668
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
hdl:2014/41064
Authors
Keymeulen, Didier (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Fink, Wolfgang (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Ferguson, Michael I. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Peay, Chris (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Oks, Boris (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Terrile, Richard (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Yee, Karl (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
June 25, 2005
Subject Category
Engineering (General)
Meeting Information
Meeting: Genetic and Evolutionary Computation Conference
Location: Washington, DC
Country: United States
Start Date: June 25, 2005
Distribution Limits
Public
Copyright
Other
Keywords
evolvable hardware
dynamic hill climbing
genetic algorithms
Microelectromechanical Systems (MEMS)
gyroscopes
simulated annealing

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