Fusion algorithm for transient loading volume with accumulative error
-
摘要: 为提高火箭推进剂加注量的计量精度,在原系统单一的流量计基础上新增超声波流量计和高精度液位计,并对液位计进行液位-体积标定,使三路测量设备同时参与加注量计量.根据设备计量原理分析了三路加注量数据的变化特性和误差特性,并利用时域估计法和数据加窗法推导了各瞬变加注量误差信号的方差估计算法,给出了基于方差最小二乘意义下的最优加权融合结果.实际应用表明该融合算法可以有效地抑制累积误差的不断扩大,提供比原始数据精度更高的实时加注量数据.Abstract: In order to improve measuring accuracy of rocket propellant loading volume, an ultrasonic flowmeter and a high precision liquid-level meter were added to the original loading-system based on the single flowemeter. The relationship between the liquid-level and the volume was calibrated in advance. Thus, the loading volume was measured with three devices at the same time. Through analyzing the variation characteristic and error characteristic of the three measurement data, variance estimations of the three loading volume error were deduced respectively using time-domain estimation and data window, and the optimal weighted fusion algorithm was given using the least squares method. Practical application shows that the fusion algorithm is able to inhibit the expansion of accumulative error, offer more precise real-time loading volume data.
-
Key words:
- loading volume /
- transient /
- accumulative error /
- fusion /
- variance estimation
-
[1] 仲崇权,张立勇,杨素英,等.基于最小二乘原理的多传感器加权融合算法[J].仪器仪表学报,2003,24(4):427-430 Zhong Chongquan,Zhang Liyong,Yang Suying,et al.A weighted fusion algorithm of multi-sensor based on the principle of least squares [J].Chinese Journal of Scientific Instrument,2003,24(4):427-430(in Chinese) [2] John Daye Z,Jessie Jeng X.Shrinkage and model selection with correlated variables via weighted fusion[J].Computational Statistics & Data Analysis,2009,53(4):1284-1298 [3] Ting Li Chien,Jyh Hwa Tzou,Wang Chun Chieh,et al.Detection system of a security robot using multisensor fusion algorithms [J].Artificial Life and Robotics,2009,14(2):247-251 [4] Wenzel T A,Burnham K J,Blundell M V.Dual extend Kalman filter for vehicle state and parameter [J].Vehicle System Dynamics,2006,44(2):153-171 [5] 蒯冲,龚剑扬,那云啸,等.基于极大似然估计的最优航迹融合方法[J].哈尔滨工程大学学报,2003,24(4):419-421 Kuai Chong,Gong Jianyang,Na Yunxiao,et al.Optimal track fusion based on maximum likelihood estimate [J].Journal of Harbin Engineering University,2003,24(4):419-421(in Chinese) [6] 胡丹丹,肖书明,王燕清,等.基于多传感器的数据融合技术[J].东北电力学院学报,2004,24(1):62-67 Hu Dandan,Xiao Shuming,Wang Yanqing,et al.Data fusion technique based on multi-sensor [J].Journal of Northeast China Institute of Electric Power Engineering,2004,24(1):62-67(in Chinese) [7] 胡士强,张天桥.多传感器在线自适应加权融合跟踪算法[J].北京理工大学学报,2002,22(1):117-120 Hu Shiqiang,Zhang Tianqiao.An on line adaptive weighted fusion algorithm for multi-sensor tracking [J].Journal of Beijing Institute of Technology,2002,22(1):117-120(in Chinese) [8] 宋建勋,张进,吴钦章.基于D-S证据理论的多特征数据融合算法[J].火力与指挥控制,2010,35(7):96-98 Song Jianxun,Zhang Jin,Wu Qinzhang.The algorithm of multi-feature data fusion based on D-S theory of evidence[J].Fire Control & Command Control,2010,35(7):96-98(in Chinese) [9] 翟翌立,戴逸松.多传感器数据自适应加权融合估计算法的研究[J].计量学报,1998,19(1):69-75 Zhai Yili,Dai Yisong.Study of adaptive weighted fusion estimated algorithm of multisensor data [J].Acta Metrologica Sinica,1998,19(1):69-75(in Chinese) [10] 吴成东,刘宗富.多传感器数据最优融合[J].传感器技术,1994,13(3):21-24 Wu Chengdong,Liu Zongfu.The optimization of multi-sensor data [J].J Sensor & Transducer Techno,1994,13(3):21-24(in Chinese) [11] Richardson J M,Kenneth A M.Fusion of multisensor data [J].The International Journal of Robotics Research,1988,7(6):78-96 [12] 杨位钦,顾岚.时间序列分析与动态数据建模[M].北京:北京工业学院出版社,1986:37-89 Yang Weiqing,Gu Lan.Time series analyzing and dynamic data modeling[M].Beijing:Beijing Institute of Industrial Press,1986:37-89(in Chinese) [13] 翁思义.自适应控制系统[M].北京:水利电力出版社,1995:43-46 Weng Siyi.Adaptive control system[M].Beijing:China WaterPower Press,1995:43-46(in Chinese) [14] 胡广书.数字信号处理-理论、算法与实现[M].北京:清华大学出版社,1997:320-327 Hu Guangshu.Digital signal processing-theory,algorithm and implement[M].Beijing:Tsinghua University Press,1997:320-327(in Chinese) [15] 赵晋,张建秋,高羽.迭代异方差估计及其在多传感器数据融合中的应用[J].电子学报,2008,36(10):1938-1943 Zhao Jin,Zhang Jianqiu,Gao Yu.Iterative heteroscedastic variance estimation with its application for multisensor data fusion [J].Acta Electronica Sinica,2008,36(10):1938-1943(in Chinese)
点击查看大图
计量
- 文章访问数: 2863
- HTML全文浏览量: 170
- PDF下载量: 376
- 被引次数: 0