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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 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.