预览加载中，请您耐心等待几秒...

基于大视场星敏感器惯性∕星光组合导航与仿真.docx

预览
1/2
2/2

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于大视场星敏感器惯性∕星光组合导航与仿真 Title:NavigationandSimulationbasedonWideFieldofViewStarTrackerInertial/StarlightFusion Abstract: Inrecentyears,thedevelopmentofnavigationtechnologyhasbeendrivenbytheneedformoreaccurateandreliablepositioningandorientationsystems.Inthispaper,wefocusontheintegrationofwidefieldofviewstartrackerwithinertialsensorsandstarlightfusionnavigationtechniques.Weprovideacomprehensiveanalysisofthetheoreticalbackground,implementation,andsimulationresultsofthisintegratednavigationsystem. 1.Introduction: Navigationsystemsplayavitalroleinvariousfields,includingaerospace,robotics,andautonomousvehicles.Conventionalnavigationsystemsoftenrelyoneitherinertialsensorsorstartrackersindependently,whichhavetheirlimitations.Inthisstudy,weproposetheintegrationofwidefieldofviewstartrackerwithinertialsensorstoovercometheselimitationsandenhancetheaccuracyandreliabilityofnavigationsystems. 2.TheoryandBackground: 2.1InertialNavigationSystems(INS): Inertialsensors,includingaccelerometersandgyroscopes,measurechangesinlinearaccelerationandangularrate,respectively.Byintegratingthesemeasurements,theposition,velocity,andattitudeofamovingobjectcanbeestimated.However,INSsuffersfromdrifterrorsduetosensorbiasandnoise,resultingindegradationofthenavigationperformanceovertime. 2.2StarTrackers: Startrackersareopticaldevicesthatcapturethepositionsofstarsinthecelestialsphere.Bycomparingtheobservedstarpositionswiththeknownstarcatalog,theattitudeofanobjectcanbedeterminedwithhighaccuracy.However,traditionalstartrackershavealimitedfieldofview,makingthemsusceptibletostarlostandunabletoprovidecontinuousattitudeinformation. 2.3StarlightFusion: Starlightfusionisatechniquethatcombinestheinformationfromawidefieldofviewstartrackerandinertialsensorstoimprovetheaccuracyandreliabilityofnavigation.Byfusingthepreciseattitudeinformationfromthestartrackerandthelow-driftpositionandvelocityestimatesfromINS,thenavigationsystemcanovercomethelimitationsofeachsensorandachieveenhancedperformance. 3.SystemDesignandImplem