基于FLANN数据融合的微重力落舱动态测重补偿及校正

The micro-gravitation down-cabin dynamic measure weight correction based on FLANN data fusion

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．

A method for the micro-gravitation down-eabin 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