摘要
提出一种将经验模态分解法、时间序列分析法与Kalman滤波相结合,对随机振动引起的石英挠性摆式加速度计误差进行建模的方法。针对随机振动引起的加速度计非平稳序列误差,通过经验模态分解法有效分离出误差序列中的非平稳成分,进一步采用时间序列分析法建立平稳序列的误差模型,并引入Kalman滤波算法对模型的预测误差进行最优估计。实现了对加速度计随机振动误差的精确建模,提高了随机振动环境下石英挠性摆式加速度计的测量精度。
In order to build an accurate mathematic model of accelerometer random vibration error sepuence,a method combining empirical mode decomposition( EMD),time series analysis method with Kalman filter is proposed. Aiming at the accelerometer non-stationary sequence error caused by random vibration,the EMD is introduced to separate the non-stationary components from error sequence effectively,and the time series analysis method is used to build the stationary sequence error model. Furthermore,Kalman filter algorithm is introduced to obtain an optimal estimation error sequence. Consequently,an accurate model of accelerometer random vibration error sequence is built,and it can improve the measure accuracy of accelerometer in random vibration environment.
出处
《航空兵器》
2017年第5期48-53,共6页
Aero Weaponry
基金
国家自然科学基金项目(61673040
61233005)
航空科学基金项目(2015ZC51038
20160812004)
天地一体化信息技术国家重点实验室开放基金项目(2015-SGIIT-KFJJ-DH-01)
2015年度北京航空航天大学教改资助项目