{"title":"Design and implementation of a smart strain gage conditioner","authors":"S. Poussier, H. Rabah, S. Weber","doi":"10.1109/CAMP.2003.1598163","DOIUrl":null,"url":null,"abstract":"This paper presents a new design and implementation of a system on a programmable chip (SOPC) for smart strain gage conditioner. The system is designed to meet flexibility and complex computations required in thermal compensation algorithms of strain gage. To satisfy the real-time processing constraints in one hand, and parameterization in another hand, parts of the algorithms are implemented in hardware and others are implemented in software. Theses architectures are implemented on a field programmable gate array (FPGA) including a core processor. Five methodologies are developed for the thermal compensation. The first is the classical technique usually used. The second is based on Lagrange interpolation. The third is based on the Newton iteration algorithm. The fourth is based on Neville-Aitken recurrence algorithm. The last is based on the spline interpolation algorithm. Implantations techniques and experimental results are given","PeriodicalId":443821,"journal":{"name":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE International Workshop on Computer Architectures for Machine Perception","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2003.1598163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a new design and implementation of a system on a programmable chip (SOPC) for smart strain gage conditioner. The system is designed to meet flexibility and complex computations required in thermal compensation algorithms of strain gage. To satisfy the real-time processing constraints in one hand, and parameterization in another hand, parts of the algorithms are implemented in hardware and others are implemented in software. Theses architectures are implemented on a field programmable gate array (FPGA) including a core processor. Five methodologies are developed for the thermal compensation. The first is the classical technique usually used. The second is based on Lagrange interpolation. The third is based on the Newton iteration algorithm. The fourth is based on Neville-Aitken recurrence algorithm. The last is based on the spline interpolation algorithm. Implantations techniques and experimental results are given