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基于FLANN数据融合的微重力落舱动态测重补偿及校正
引用本文:王思明.基于FLANN数据融合的微重力落舱动态测重补偿及校正[J].兰州大学学报(自然科学版),2005,41(6):77-81.
作者姓名:王思明
作者单位:兰州交通大学,信息与电气工程学院,甘肃,兰州,730070
摘    要:提出了一种用函数连接型神经网络(FLANN)数据融合及直线回归分析技术相结合实现微重力落舱动态测重的补偿及其非线性校正的方法.该方法将测重传感器输出的线性段特性用回归方法进行拟合,得到直线校正方程;对测重传感器非线性特性采用FLANN数据融合,从而实现测重传感器温度补偿与非线性校正.该方法用于微重力落舱动态测重结果分析表明,该方法是切实有效和可行的.

关 键 词:函数连接型神经网络  数据融合  微重力落舱  动态测重  校正
文章编号:0455-2059(2005)06-0077-05
收稿时间:06 29 2004 12:00AM
修稿时间:2004-06-29

The micro-gravitation down-cabin dynamic measure weight correction based on FLANN data fusion
WANG Si-ming.The micro-gravitation down-cabin dynamic measure weight correction based on FLANN data fusion[J].Journal of Lanzhou University(Natural Science),2005,41(6):77-81.
Authors:WANG Si-ming
Institution:College of Information and Electric Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China
Abstract:A method for the micro-gravitation down-cabin dynamic measure weight compensation and correction based on FLANN data fusion is presented. Using the method the sensor's straight linear characteristic equation is generated with straight linear regression. In the meantime, the sensor's nonlinear characteristic is mapped using FLANN network and data fusion. Thus the correction of sensor's temperature compensation and nonlinear characteristic is realized. The result of the application in the micro-gravitation down-cabin showed that it's effective and feasible.
Keywords:FLANN  data fusion  micro-gravitation down-cabin  dynamic measure weight  compensation and correction
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