欢迎来到天天文库
浏览记录
ID:34456838
大小:3.78 MB
页数:70页
时间:2019-03-06
《一种回转基准径向误差分离方法研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、哈尔滨工业大学工学硕士学位论文AbstractNanometricerrorcompensationtechniqueisproposedwiththedevelopment ofnanotechnogy,whichinheritstheadvantagesofthetraditionalerror compensationtechnique.Thistechniquehasimportantvaluesofresearchand applicationforhigheraccuracymeasurement.Err
2、orseparationtechniqueisan essentialpartoferrorcompensationtechnique,duetoharmonicsuppression,the separationprecisionisverylimited.Inthispaper,theoreticalerroranalysisofseveralerrorseparationmethodsis performed,basedontheadvantagesanddisadvantagesofthesemethods,
3、amulti- seriesmulti-stepmethodisproposed.Thismethodsynthesizesseveralmulti-step methods,analyzesthecorrespondingharmoniconebyoneandeliminatesthe itemsthatbringharmonicsuppression.Multi-seriesmulti-stepmethodenlarges therangewithoutharmonicsuppressionbysynthesis
4、ofharmonictoseparatethe mainshaftcircumgyrationerror.Thefollowingworkswasfinishedinthisthesis:1.Analyzestheprincipleofmulti-steperrorseparationtechniqueandthe harmonicsuppressionproblem.Theemulationresultfor10stepsindexing methodindicatesthaterrorofseparationis
5、0.305and0.346;2.Analyzestheprincipleofmulti-seriesmulti-stepmethod.Make simulationofmulti-seriesmulti-stepmethodbasedon3,4,5multi-stepmethod, whichindicatesthatmulti-seriesmulti-stepmethodcouldresolveharmonic suppressionprobleminacertainrangewithahigherprecisio
6、n.Whenthesample numberis512,theerrorofseparationisabout0.041and0.046;3.Analyzestheeffectofsamplenumbertotheprecisionoferrorseparation. Theprecisioncanbeimprovedbyincreasingthesamplenumber.Whenthe samplenumberis1024,theerrorofseparationisupto0.027and0.031; 4.Ana
7、lyzestheseparationprecisionindifferentfilteringrange,which indicatesthatlargefilteringrangeresultsinlowprecision;5.Experimentcertificationonmulti-seriesmulti-steperrorseparationis performed.Experimentdataindicatesthatthistechniquehasveryhighseparation precision
8、.Theseparationprecisionisupto4.2nm.-III-哈尔滨工业大学工学硕士学位论文Boththetheoreticalanalysisandtheexperimentstronglysuggestthatmulti-seriesmulti-steperrorseparationtechniquehasgoodmane
此文档下载收益归作者所有