DocumentCode :
806371
Title :
Sliding mode-based microstructure torque and force estimations using MEMS optical monitoring
Author :
Park, Juchirl ; Wang, Limin ; Dawson, Jeremy M. ; Hornak, Larry A. ; Famouri, Parviz
Author_Institution :
West Virginia Univ., Morgantown, WV, USA
Volume :
5
Issue :
3
fYear :
2005
fDate :
6/1/2005 12:00:00 AM
Firstpage :
546
Lastpage :
552
Abstract :
The determination of microstructure state is becoming of increasing importance for microelectromechanical system (MEMS) sensors and actuators. Sliding mode-based microtorque estimation for a rotary micromotor, assuming the availability of a MEMS optical monitoring data stream, is presented. The dynamic model of the rotating MEMS system and the electrostatic torque are identified. The technique uses the estimated position signal to approach the actual measured position signal, obtainable through optical monitoring, to simultaneously estimate the microtorque and load torque. The estimated microtorque and load torque are low-pass filtered to eliminate the switching behavior inherent in the sliding-mode estimator. The experimental setup of a lateral comb resonator with optical monitoring is presented and discussed. The simulation results of both electrostatic and load torque estimations are presented, as well as the experimental force estimation of a lateral comb resonator device.
Keywords :
force measurement; force sensors; micromotors; microsensors; optical resonators; optical sensors; torque measurement; variable structure systems; MEMS sensors; actuators; electrostatic torque; force estimation; force estimations; lateral comb resonator device; low-pass filter; microstructure state; microstructure torque; optical monitoring; rotary micromotor; sliding mode estimator; switching behavior; Electrostatics; Force sensors; Microelectromechanical systems; Micromechanical devices; Microstructure; Monitoring; Optical filters; Optical resonators; Optical sensors; Torque; Estimation; microstructure torque; optical monitoring; sliding mode;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2005.845332
Filename :
1430709
Link To Document :
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