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1、一、英文原文CompensationoftemperaturedriftofMEMSgyroscopeusingBPneuralnetworkQintuoZhang,ZhenfanTan,LidongGuoCollegefAutomationHarbinEngineeringuniversityNantongStreet145，Harbin,Heilongjiang,ChinaAbstractAnordertosolvethetemperaturechangeontheimpactofMEMSgyroscopeoutput,throughsei匸devel
2、opmentMEMSIMUtemperaturetest,weusedBPneuralnetworktopredictthetemperaturedriftofMEMSgyroscopeandcompensationit.AfterusingBPneuralnetworktocompensatethreegyroscopes,wecomparedtheresultswiththetraditionalleast-squaresmethodthattheoutputerrorvariancerespectivelyreducedfrom0.4242,0.35
3、06and0.4335to0.0758,0.1024and0.1122.Theresultsindicatethecorrectnessandvalidityofthemethod,soastoofferanewmethodtoimprovetheperformanceofMEMSgyroscope.Keywords:MEMSGyroscope;BPNeuralNetwork;TemperatureDriftI.INTRODUCTIONInrecentyears,apromisingtechnology,micro-clcctromcchanicalsys
4、tems(MEMS)basedinertialsensorshasbeendeveloped[9],however,duetothesmallsizeandweightofit,theperformancecharacteristicsarehighlydependentonthetemperaturevariationsfl].Duetotheproductionprocessandotherreasons,thegyroscopefrequencyorAGCaretestedtosimulateMEMSgyroscopetemperaturechang
5、es,whichinevitablybringadditionalerror[2-3].WeresearchedonADXL150MEMSgyroscopemadebyAnalogDevicesInc,andwhichcangivethetemperatureinformationofit,thetemperaturecoefficientis8?4mv/°,whileitssensitivityisonly12.5mv/°/s.Therefore,it'snecessaryandpracticaltocompensatetemperaturedriftt
6、hroughtemperaturetest.SomeresearchersfocusesontheimpactoftemperatureontheMEMSgyroscopezerobias,inwhichthezerobiasvoltageisconvertedtoangularratevalue,butitisnotclearhowtoselectthescalefactorwithtemperaturechanges[4];Reference[5]showstemperatureimpactonscalefactorisnotasimportantas
7、onzerobiasofgyroscope;Reference[7]presentsthesystemidentificationofMEMSvibratorygyroscopedesignedbyJPL,andanalyzegyroscopeerrorthroughchangingstructuralresonantfrequencymadebytemperature.Inthispaper,BPneuralnetworkwasusedtopredicttemperaturedriftofgyroscope,throughin-handMEMSIMUte
8、mperaturetest,theresultsshowthatt
