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Title: Adaptive fuzzy modal matching of capacitive micromachined gyro electrostatic controlling
Authors: Cheng, L 
Liu, R
Guo, S
Zheng, G
Liu, Y
Issue Date: Sep-2023
Source: Sensors, Sept 2023, v. 23, no. 17, 7422
Abstract: A fuzzy PI controller was utilized to realize the modal matching between a driving and detecting model. A simulation model was built to study electrostatic decoupling controlling technology. The simulation results show that the modal matching can be gained by the fuzzy PI controller. The frequency difference between the driving mode and the detection mode is less than 1 Hz, and the offset of the input DC is smaller than 0.6 V. The optimal proportionality factor and integral coefficient are 1.5 and 20, respectively. The fuzzy PI controlling technology provides a good way for the parameter optimization to gain modal matching of micro gyro, via which the detecting accuracy and stability can be improved greatly.
Keywords: Capacitive micro-machined gyro
Electrostatic control
Feedback control
Modal matching
Numerical simulation
Publisher: MDPI AG
Journal: Sensors 
EISSN: 1424-8220
DOI: 10.3390/s23177422
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Cheng L, Liu R, Guo S, Zheng G, Liu Y. Adaptive Fuzzy Modal Matching of Capacitive Micromachined Gyro Electrostatic Controlling. Sensors. 2023; 23(17):7422 is available at https://doi.org/10.3390/s23177422.
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