Bias and scale factor drift modeling methods for accelerometers
-
摘要: 通过归纳工程上常用数据建模方法及其应用特点,且结合贮存条件下加速度计零偏和标度因数试验测量数据变化规律,综合给出了建立零偏时间序列模型和标度因数回归模型的详细步骤,并据此建立了贮存条件下加速度计零偏和标度因数的变化模型,所建模型预测的数据与真实数据相比误差很小,充分验证了模型的有效性.所建模型真实地反映了零偏随机性变化规律和标度因数趋势性变化规律的特点,可以为加速度计零偏和标度因数随时间变化的补偿模型提供参考,为加速度计参数长期变化稳定性水平评价提供手段.Abstract: Engineering data modeling methods and their application features were summarized, Combine with the accelerometer bias and scale factor drifting law of experimental measurements in storage conditions, bias time series analysis method and scale factor regression methodology were established respectively, and the detailed steps were also given. The bias and scale factor data of a certain accelerometer was given at last, and the drift values have been predicted via the presented method. The relative error between the prediction values and the measured data was small enough compared with the given acceptance level 10%, which shows the efficiency of the presented methods. The drift models reflect the bias great randomness drift feature and scale factor variation tendency description in true situation, and the accelerometer bias and scale factor drift models can not only be used in parameter exploration and drift compensation, but also provide long term stability assessment technique for the accelerometer bias and scale factor.
-
Key words:
- accelerometer /
- regression analysis /
- time series analysis /
- bias /
- scaling factor
-
[1] 张鹏飞,龙兴武.石英挠性加速度计误差补偿模型研究[J].传感技术学报,2006,19(4):1100-1102 Zhang Pengfei, Long Xingwu. Research on compensating error model of quartzose flexible accelerometer[J]. Chinese Journal of Sensors and Actuators, 2006,19(4):1100-1102(in Chinese) [2] 岳中贵,叶红康.用时间序列分析法辨识加速度计的随机误差模型[J].中国惯性技术学报,1994,2(2):41-46 Yue Zhonggui, Ye Hongkang. Time series technique applied to identification of accelerometer random error model[J]. Journal of Chinese Inertial Technology, 1994,2(2):41-46(in Chinese) [3] Theodore C M. An improved method for accelerometer precision centrifuge test data reduction[J].Spacecraft,1971,8(6):686-688 [4] Fuhrman T A.An improved technique for estimating accelerometer linearity from multipoint data //AIAA Guidance and Control Conference.New York:American Institute of Aeronautics and Astronatics,Inc,1977:530-547 [5] 梅硕其.惯性仪器测试与数据分析[M].西安:西北工业大学出版社,1991:138-152 Mei Shuoqi. Inertial instrument testing and data analysis[M]. Xi′an:Northwestern Polytechnical University Press, 1991:138-152(in Chinese) [6] 何书元.应用时间序列分析[M].北京:北京大学出版社,2007:96-118 He Shuyuan. Application of time series analysis[M]. Beijing:Beijing University Press,2007:96-118(in Chinese) [7] 贾治宇,康锐.软件可靠性预测的ARIMA方法研究[J].计算机工程与应用,2008,44(35):17-19 Jia Zhiyu, Kang Rui. Forecasting method of software reliability based on the ARIMA model[J]. Computer Engineering and Applications,2008,44(35):17-19 (in Chinese) [8] 张树京,齐立心.时间序列分析简明教程[M].北京:北方交通大学出版社,2003:220-250 Zhang Shujing, Qi Lixin. Time series analysis a simple tutorial[M]. Beijing:North Jiaotong University Press,2003:220-250(in Chinese) [9] 王燕.应用时间序列分析[M].第2版.北京:人民大学出版社,2008:71-90 Wang Yan. Application of time series analysis[M]. 2nd ed. Beijing:People-s University Press,2008:71-90(in Chinese) [10] 邓爱民.高可靠长寿命产品可靠性技术研究 .长沙:国防科学技术大学机械电子工程系,2006 Deng Aimin.Research on reliability technology of high-reliability and long-lifetimen products .Changsha:Department of Mechanical and Electronic Engineering,National University of Defense Technology ,2006(in Chinese) -
点击查看大图
计量
- 文章访问数: 4099
- HTML全文浏览量: 206
- PDF下载量: 1109
- 被引次数: 0
下载:
