Feng Zhu, Zhiguo Shi, Zhaopei Gong, L. Ding, H. Yue, Rongqiang Liu, Qianqian Wu, Z. Deng
{"title":"Study of space micro-vibration active isolation platform acceleration measurement","authors":"Feng Zhu, Zhiguo Shi, Zhaopei Gong, L. Ding, H. Yue, Rongqiang Liu, Qianqian Wu, Z. Deng","doi":"10.1109/ICMA.2015.7237671","DOIUrl":null,"url":null,"abstract":"In order to realize the vibration isolation performance of space micro-vibration active isolation platform, it is necessary to measure the vibration accurately. A kind of nine accelerometers allocation scheme containing redundant information is proposed and the corresponding formulae are presented. Then, with the method of using linear accelerometers to measure six degrees-of-freedom (DOF) acceleration, the Kalman filter algorithm is applied for the processing of the acceleration signal. Both simulation and experiment results show that the use of redundant information and Kalman filter can reduce noise and improve accuracy effectively.","PeriodicalId":286366,"journal":{"name":"2015 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2015.7237671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In order to realize the vibration isolation performance of space micro-vibration active isolation platform, it is necessary to measure the vibration accurately. A kind of nine accelerometers allocation scheme containing redundant information is proposed and the corresponding formulae are presented. Then, with the method of using linear accelerometers to measure six degrees-of-freedom (DOF) acceleration, the Kalman filter algorithm is applied for the processing of the acceleration signal. Both simulation and experiment results show that the use of redundant information and Kalman filter can reduce noise and improve accuracy effectively.