Realization on identification and compensation methods for the temperature model of hemispherical resonator gyro (HRG)

In view of technological requirement of the long life satellite, influence of temperature variation on zero bias of HRG is investigated. By testing the temperature of HRG, it can be seen that great influence on gyro bias are caused by temperature variation, which does not satisfy the accuracy requir...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2011 International Conference on Electronic and Mechanical Engineering and Information Technology Ročník 2; s. 1050 - 1053
Hlavní autori: Yangguang Xie, Guoxing Yi, Yansheng Jia, Changhong Wang
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.08.2011
Predmet:
Analytical models
AR modeling
Computational modeling
Data models
HRG
limited memory
Oscillators
recursive least square algorithm
Temperature distribution
Temperature measurement
Time series analysis
ISBN:9781612840871, 1612840876
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:In view of technological requirement of the long life satellite, influence of temperature variation on zero bias of HRG is investigated. By testing the temperature of HRG, it can be seen that great influence on gyro bias are caused by temperature variation, which does not satisfy the accuracy requirement. For different application fields, the time series analysis method with multiple variables and limited memory recursive least square algorithm are employed, respectively. Moreover, based on the data detected, the parameters of the constructed model are identified. Then, the timeliness and the accuracy of the two algorithms are compared. Finally, by detecting multiple sets of data, the comparison results between the two models denote that temperature drift is compensated accurately and the effectiveness of the constructed model is indicated.
ISBN:9781612840871
1612840876
DOI:10.1109/EMEIT.2011.6023187