{"title":"采用智能控制提高微型加速度计精度","authors":"T. Grigorie, M. Lungu, I. Edu, R. Obreja","doi":"10.1109/SACI.2011.5873040","DOIUrl":null,"url":null,"abstract":"The paper presents a way to improve the transient regime of a miniature accelerometer by using a fuzzy controller to close its loop. The fuzzy controller replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made.","PeriodicalId":334381,"journal":{"name":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Miniature accelerometer precision improvement using intelligent control\",\"authors\":\"T. Grigorie, M. Lungu, I. Edu, R. Obreja\",\"doi\":\"10.1109/SACI.2011.5873040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a way to improve the transient regime of a miniature accelerometer by using a fuzzy controller to close its loop. The fuzzy controller replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made.\",\"PeriodicalId\":334381,\"journal\":{\"name\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2011.5873040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2011.5873040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Miniature accelerometer precision improvement using intelligent control
The paper presents a way to improve the transient regime of a miniature accelerometer by using a fuzzy controller to close its loop. The fuzzy controller replaces an electronic block on the feedback path of the closed loop, block that, in the classical architecture, assured the system damping and, in the same time, played the role of elastic link of the accelerometer proof mass. For the proposed controller, proportional-derivative variant is chosen, and its input-output mapping is derived. The membership functions for inputs are s-functions, π-functions, respectively z-functions, while the output membership functions have constant values. To define the rules, a zero-order Sugeno fuzzy model is chosen. Finally, a comparative numerical study between the classical and the proposed accelerometer architectures is made.