Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108765
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dc.contributorDepartment of Aeronautical and Aviation Engineering-
dc.creatorCheng, L-
dc.creatorLiu, R-
dc.creatorGuo, S-
dc.creatorZheng, G-
dc.creatorLiu, Y-
dc.date.accessioned2024-08-27T04:40:28Z-
dc.date.available2024-08-27T04:40:28Z-
dc.identifier.urihttp://hdl.handle.net/10397/108765-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.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/).en_US
dc.rightsThe 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.en_US
dc.subjectCapacitive micro-machined gyroen_US
dc.subjectElectrostatic controlen_US
dc.subjectFeedback controlen_US
dc.subjectModal matchingen_US
dc.subjectNumerical simulationen_US
dc.titleAdaptive fuzzy modal matching of capacitive micromachined gyro electrostatic controllingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume23-
dc.identifier.issue17-
dc.identifier.doi10.3390/s23177422-
dcterms.abstractA 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, Sept 2023, v. 23, no. 17, 7422-
dcterms.isPartOfSensors-
dcterms.issued2023-09-
dc.identifier.scopus2-s2.0-85170340720-
dc.identifier.pmid37687879-
dc.identifier.eissn1424-8220-
dc.identifier.artn7422-
dc.description.validate202408 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNatural Science Foundation of Guangdong Province; Natural Science Foundation of Fujian Provinceen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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