{"title":"A review on modeling of few MEMS devices and further issues","authors":"A. Roy, Mashuq-un-Nabi","doi":"10.1109/RDCAPE.2017.8358255","DOIUrl":null,"url":null,"abstract":"As the technologies are improving, the need of MEMS devices is increasing. Different modeling strategies are proposed to model MEMS devices. In this paper, the study of this different modeling strategies, their advantages and disadvantages are discussed for MEMS Butterfly Gyroscope, MEMS Micro-gripper, MEMS Microphone and MEMS Piezoelectric Energy Harvester. Different model order techniques have been used in the modeling of MEMS devices. Model order reduction technique are suggested for few cases. For few linearized system, nonlinear model order reduction techniques can be used without linearizing the nonlinear model, to get accurate results.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"751 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As the technologies are improving, the need of MEMS devices is increasing. Different modeling strategies are proposed to model MEMS devices. In this paper, the study of this different modeling strategies, their advantages and disadvantages are discussed for MEMS Butterfly Gyroscope, MEMS Micro-gripper, MEMS Microphone and MEMS Piezoelectric Energy Harvester. Different model order techniques have been used in the modeling of MEMS devices. Model order reduction technique are suggested for few cases. For few linearized system, nonlinear model order reduction techniques can be used without linearizing the nonlinear model, to get accurate results.