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Adaptive Fuzzy Modal Matching of Capacitive Micromachined Gyro Electrostatic Controlling.
Cheng, Li; Liu, Ruimin; Guo, Shumin; Zheng, Gaofeng; Liu, Yifang.
Afiliación
  • Cheng L; Department of Aeronautical and Aviation Engineering, Hong Kong Polytechnic University, Hong Kong.
  • Liu R; Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.
  • Guo S; School of Mathematical Sciences, Xiamen University, Xiamen 361002, China.
  • Zheng G; Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.
  • Liu Y; Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China.
Sensors (Basel) ; 23(17)2023 Aug 25.
Article en En | MEDLINE | ID: mdl-37687879
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.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Hong Kong

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Hong Kong